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Global Quantum Technology Market

The Global Quantum Technology Market 2026–2046: Computing, Sensors, Communications & Software

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  • Published: May 2026
  • Pages: 682
  • Tables: 249
  • Figures: 78

 

The global quantum technology market entered 2026 from a position of unprecedented commercial momentum. Full-year 2025 closed with nearly $10 billion in total quantum financings — a structural acceleration rather than a hype cycle, encompassing private equity rounds, public market offerings, strategic acquisitions, and government-backed joint ventures. Q1 2025 alone delivered over $1.25 billion in equity funding, a 125% increase year-on-year, and momentum compounded through every subsequent quarter. Fifteen companies raised more than $100 million each in 2025, with average late-stage round sizes expanding from approximately $50 million in 2023 to comfortably above $100 million in 2025 — reflecting the transition from seed-stage research bets to serious commercial deployment capital.

The headline transactions reset valuation expectations across the industry. PsiQuantum closed a $1 billion Series E led by BlackRock, Temasek, and Baillie Gifford at a $7 billion post-money valuation — the largest quantum venture round in history. Quantinuum raised $600 million at a $10 billion pre-money valuation, the highest-ever for a privately held quantum company, with NVIDIA, Fidelity, and Quanta Computer participating. IQM Quantum Computers raised over $300 million in Series B funding, achieving unicorn status. IonQ executed approximately $2.5 billion in acquisitions across 18 months, absorbing Oxford Ionics ($1.075 billion), ID Quantique, and Vector Atomic to become the world's most comprehensive quantum technology platform. D-Wave's $550 million acquisition of Quantum Circuits Inc. similarly reflected industry-wide consolidation toward integrated quantum stacks.

Funding momentum has carried directly into 2026. IQM Quantum Computers announced a SPAC merger at a $1.8 billion valuation, becoming the first European quantum computing company listed on a US exchange. Xanadu Quantum Technologies advanced toward its NASDAQ listing with approximately $455 million in net cash on close. Quantinuum is pursuing a traditional underwritten IPO. The quantum sector has crossed decisively from private to public capital markets — and pricing pressure has not abated, with private and public valuations sustaining levels that would have been considered extraordinary even two years earlier.

The strategic picture for 2026 is unambiguous: capital concentration at scale, full-stack consolidation as the dominant industry strategy, photonics emerging as the scale-up architecture of choice (three of the five largest 2025 raises were photonic companies), software and control layers attracting durable platform-level investment, and quantum-AI convergence forming a genuine investment theme. Quantum technology now sits alongside AI, biotech, and advanced semiconductors as one of the defining technology investment categories of the decade.

The Global Quantum Technology Market 2026–2046: Computing, Sensors, Communications & Software is the most comprehensive market intelligence resource available on the second quantum revolution. Spanning a 20-year forecast horizon and 14 chapters, the report covers every commercially active layer of the quantum technology stack — from foundational materials and cryogenic infrastructure through QPU hardware, software platforms, sensors, communications systems, and end-use applications — with detailed market sizing, vendor analysis, and forward-looking strategic intelligence.

Report contents include:

  • Executive summary including 2025 investment landscape ($10 billion in financings), Q1–Q4 quarterly funding analysis, government initiatives across 10 leading nations, supply chain concentration and geopolitical exposure, top ten supply chain bottlenecks, SWOT analysis, market map, value chain, and 2026–2046 forecasts.
  • Introduction to first and second quantum revolutions, quantum mechanics principles (superposition, entanglement, coherence, tunnelling), enabling technologies, and standards development.
  • Quantum computing across all eight major qubit modalities — superconducting, trapped ion, silicon spin, topological, photonic, neutral atom, diamond-defect, and quantum annealers — with technology descriptions, market players, SWOT analyses, hardware roadmaps, and detailed coverage of error correction, fault tolerance, infrastructure requirements, software, business models, and quantum-classical data centre integration.
  • Quantum chemistry and AI, quantum machine learning (including QML phases, algorithms, and applications), and quantum simulation (analog vs digital approaches, simulation platforms, and chemistry applications).
  • Quantum communications including QRNG, QKD (BB84, CV-QKD, DV-QKD, MDI-QKD, TF-QKD protocols), post-quantum cryptography (NIST standardisation, migration implications, market players), quantum networks, quantum memory, and quantum internet.
  • Quantum sensors across atomic clocks, magnetic field sensors (SQUIDs, OPMs, TMRs, NV centres), gravimeters, gyroscopes, image sensors, radar, navigation, chemical sensors, RF field sensors (Rydberg and NV-centre based), and quantum NEMs/MEMs.
  • Quantum batteries, including technology types, applications, and market forecasts.
  • End-use markets spanning pharmaceuticals, financial services, aerospace and defence, energy and utilities, healthcare and medical, telecommunications, and government applications.
  • Materials for quantum technologies including superconductors, photonics, nanomaterials, artificial diamond, cryogenic infrastructure, helium-3 supply chain, cryo-CMOS, lasers, UHV systems, and microwave/optical interconnects.
  • Regional analysis for North America, Europe, Asia-Pacific, and Rest of World, plus government initiatives comparison.
  • Global market analysis including consolidated forecasts to 2046 by segment, end-use industry, and region; supply chain market sizing; and combined quantum technology economy view.
  • Profiles of 327 companies spanning every layer of the quantum technology ecosystem. Companies profiled include A* Quantum, AbaQus, Absolut System, Adaptive Finance Technologies, Aegiq, Agnostiq, Algorithmiq, Airbus, Alea Quantum, Alpine Quantum Technologies (AQT), Alice & Bob, Aliro Quantum, Anametric, Anyon Systems, Aqarios, Aquark Technologies, Archer Materials, Arclight Quantum, Arctic Instruments, Arqit Quantum, ARQUE Systems, Artificial Brain, Artilux, Atlantic Quantum, Atom Computing, Atom Quantum Labs, Atomionics, Atos Quantum, Baidu, BEIT, Beyond Blood Diagnostics, Bifrost Electronics, Bleximo, Bluefors, BlueQubit, Bohr Quantum Technology, Bosch Quantum Sensing, BosonQ Ps, C12 Quantum Electronics, Cambridge Quantum Computing (CQC), CAS Cold Atom, Cerca Magnetics, CEW Systems Canada, Chipiron, Chiral Nano, Classiq Technologies, ColibriTD, Commutator Studios, Covesion, Crypta Labs, CryptoNext Security, Crystal Quantum Computing, D-Wave Systems, DeteQt, Digistain, Diatope, Dirac, Diraq, Delft Circuits, Delta g, Duality Quantum Photonics, EeroQ, eleQtron, Element Six, Elyah, Entropica Labs, Ephos, Equal1, EuQlid, evolutionQ, Exail Quantum Sensors, EYL, First Quantum, Fujitsu, Genesis Quantum Technology, GenMat, Good Chemistry, Google Quantum AI, Groove Quantum, g2-Zero, Haiqu, Hefei Wanzheng Quantum Technology, High Q Technologies, Horizon Quantum Computing and more....

 

 

 

 

1          EXECUTIVE SUMMARY            35

  • 1.1        Quantum Technologies Market in 2026    35
    • 1.1.1     Q1 2025: The Surge That Set the Tone   35
    • 1.1.2     Q2 2025: Momentum Builds Across the Stack     36
    • 1.1.3     Q3 2025: Mega-Rounds and a New Valuation Era           36
    • 1.1.4     Q4 2025: Going Public and Consolidation Accelerates     37
    • 1.1.5     Into 2026: The Public Market Era Begins 38
    • 1.1.6     The Strategic Picture: What $10 Billion Means    38
    • 1.1.7     2025 as Quantum Technology's Commercial Watershed  41
  • 1.2        First and second quantum revolutions     42
  • 1.3        Current quantum technology market landscape   42
    • 1.3.1     Key developments         43
  • 1.4        Technology Readiness Assessment        44
  • 1.5        Quantum Technologies Investment Landscape    45
    • 1.5.1     Total market investments 2012-2026       45
    • 1.5.2     By Technology   50
    • 1.5.3     By Company      50
    • 1.5.4     By Application   52
    • 1.5.5     By Region         53
      • 1.5.5.1  The Quantum Market in North America   54
      • 1.5.5.2  The Quantum Market in Asia      54
      • 1.5.5.3  The Quantum Market in Europe  55
    • 1.5.6     Key Investment Trends 2025–2026         55
  • 1.6        Global government initiatives and funding           56
    • 1.6.1     United States    57
    • 1.6.2     China    57
    • 1.6.3     European Union             58
    • 1.6.4     Germany           59
    • 1.6.5     United Kingdom 59
    • 1.6.6     France  60
    • 1.6.7     Canada 60
    • 1.6.8     Australia           61
    • 1.6.9     Japan   61
    • 1.6.10   India     62
    • 1.6.11   Cross-Cutting Themes in Government Quantum Investment        64
    • 1.6.12   Supply Chain Concentration and Geopolitical Exposure   64
  • 1.7        Challenges for quantum technologies adoption    65
  • 1.8        Critical Supply Chain Bottlenecks           67
  • 1.9        Quantum Technology Market Map          67
  • 1.10      SWOT Analysis 69
  • 1.11      Quantum Technology Value Chain          70
  • 1.12      Global Market Forecast 2026–2046         71
    • 1.12.1   Total Market Revenues   71
    • 1.12.2   By Technology Segment 72
    • 1.12.3   By End-Use Industry      73
    • 1.12.4   By Region         73

 

2          INTRODUCTION TO QUANTUM TECHNOLOGY            75

  • 2.1        First and Second Quantum Revolutions  75
  • 2.2        Quantum Mechanics Principles  76
    • 2.2.1     Superposition    76
    • 2.2.2     Entanglement    76
    • 2.2.3     Quantum Coherence      77
    • 2.2.4     Quantum Tunnelling       77
  • 2.3        The Quantum Technology Ecosystem     78
  • 2.4        Enabling Technologies and Infrastructure            79
  • 2.5        Standards Development 80

 

3          QUANTUM COMPUTING           82

  • 3.1        What is quantum computing?     82
    • 3.1.1     Operating principle         83
    • 3.1.2     Classical vs quantum computing 84
    • 3.1.3     Quantum computing technology 86
      • 3.1.3.1  Quantum emulators       88
      • 3.1.3.2  Quantum inspired computing      89
      • 3.1.3.3  Quantum annealing computers   89
      • 3.1.3.4  Quantum simulators      89
      • 3.1.3.5  Digital quantum computers         89
      • 3.1.3.6  Continuous variables quantum computers           89
      • 3.1.3.7  Measurement Based Quantum Computing (MBQC)         90
      • 3.1.3.8  Topological quantum computing  90
      • 3.1.3.9  Quantum Accelerator     90
  • 3.2        Benchmarking and Performance Metrics 90
    • 3.2.1     Qubit Count       90
    • 3.2.2     Gate Fidelity     91
    • 3.2.3     Coherence Times          91
    • 3.2.4     Quantum Volume           92
    • 3.2.5     Competition from other technologies       93
    • 3.2.6     Quantum algorithms      96
      • 3.2.6.1  Quantum Software Stack           96
      • 3.2.6.2  Quantum Machine Learning        97
      • 3.2.6.3  Quantum Simulation      97
      • 3.2.6.4  Quantum Optimization   98
      • 3.2.6.5  Quantum Cryptography  98
        • 3.2.6.5.1           Quantum Key Distribution (QKD)            99
        • 3.2.6.5.2           Post-Quantum Cryptography      99
    • 3.2.7     Architectural Approaches            100
      • 3.2.7.1  Modular vs. Single Core 100
      • 3.2.7.2  Heterogeneous Multi-Qubit Architectures            100
    • 3.2.8     Hardware           101
      • 3.2.8.1  Qubit Technologies        102
        • 3.2.8.1.1           Superconducting Qubits 103
          • 3.2.8.1.1.1         Technology description   103
          • 3.2.8.1.1.2         Materials           104
          • 3.2.8.1.1.3  Hardware Architecture   106
          • 3.2.8.2.1.4       Market players  107
          • 3.2.8.2.1.5         Swot analysis    108
          • 3.2.8.2.1.6        Superconducting Hardware Roadmap     109
        • 3.2.8.1.2           Trapped Ion Qubits        109
          • 3.2.8.2.2.1         Technology description   109
          • 3.2.8.2.2.2         Ion Species Comparison             111
          • 3.2.8.2.2.3         Trap Architectures         111
          • 3.2.8.2.2.4         Materials           112
            • 3.2.8.2.2.4.1      Integrating optical components   112
            • 3.2.8.2.2.4.2      Incorporating high-quality mirrors and optical cavities      113
            • 3.2.8.2.2.4.3      Engineering the vacuum packaging and encapsulation     113
            • 3.2.8.2.2.4.4      Removal of waste heat  113
          • 3.2.8.2.2.5         Market players  114
          • 3.2.8.2.2.6         Swot analysis    115
          • 3.2.8.2.2.7         Trapped Ion Hardware Roadmap            115
        • 3.2.8.2.3           Silicon Spin Qubits        116
          • 3.2.8.2.3.1         Technology description   116
          • 3.2.8.2.3.2         Quantum dots   117
          • 3.2.8.2.3.3         Market players  119
          • 3.2.8.2.3.4         SWOT analysis 120
          • 3.2.8.2.3.5         Silicon Spin Hardware Roadmap             121
        • 3.2.8.2.4           Topological Qubits         121
          • 3.2.8.2.4.1         Technology description   121
            • 3.2.8.2.4.1.1      Cryogenic cooling          122
          • 3.2.8.2.4.2         Market players  123
          • 3.2.8.2.4.3         SWOT analysis 123
        • 3.2.8.2.5           Photonic Qubits 124
          • 3.2.8.2.5.1         Technology description   124
            • 3.2.8.2.5.1.1      Architectural Classes     125
            • 3.2.8.2.5.1.2      Initialization, Manipulation, and Readout  126
            • 3.2.8.2.5.1.3      Hardware Architecture   127
          • 3.2.8.2.5.2         Race to Photonic Fault Tolerance: Tier Analysis  127
          • 3.2.8.2.5.3         Market players  129
          • 3.2.8.2.5.4         Swot analysis    130
          • 3.2.8.2.5.5         Photonic Hardware Roadmap     131
          • 3.2.8.2.5.6         Race to Photonic Fault Tolerance: Tier Analysis  131
        • 3.2.8.2.6           Neutral atom (cold atom) qubits  132
          • 3.2.8.2.6.1         Technology description   132
          • 3.2.8.2.6.2         Market players  135
          • 3.2.8.2.6.3         Swot analysis    135
          • 3.2.8.2.6.4         Neutral Atom Hardware Roadmap           136
        • 3.2.8.2.7           Diamond-defect qubits   136
          • 3.2.8.2.7.1         Technology description   136
          • 3.2.8.2.7.2         SWOT analysis 139
          • 3.2.8.2.7.3         Market players  140
          • 3.2.8.2.7.4         Diamond-Defect Hardware Roadmap      140
        • 3.2.8.2.8           Quantum annealers       140
          • 3.2.8.2.8.1         Technology description   140
          • 3.2.8.2.8.2         SWOT analysis 142
          • 3.2.8.2.8.3         Market players  143
          • 3.2.8.2.8.4         Quantum Annealing Hardware Roadmap 143
      • 3.2.8.3  Architectural Approaches            144
      • 3.2.8.4  Quantum Computing Infrastructure Requirements            144
    • 3.2.9     Software           145
      • 3.2.9.1  Technology description   146
      • 3.2.9.2  Cloud-based services- QCaaS (Quantum Computing as a Service).         146
        • 3.2.9.2.1           The Cloud-First Reality of Quantum Computing   146
        • 3.2.9.2.2           Platform Architecture Models      146
        • 3.2.9.2.3           Major Quantum Cloud Platforms 147
        • 3.2.9.2.4           Pricing Models   148
        • 3.2.9.2.5           Quantum Cloud Platform Comparison     148
        • 3.2.9.2.6           Cloud Platform Market Forecast 149
      • 3.2.9.3  Market players  150
  • 3.3        Market challenges         153
  • 3.4        SWOT analysis 154
  • 3.5        Business Models           155
  • 3.6        Quantum Error Correction and Fault Tolerance    156
    • 3.6.1     Why Error Correction Matters     156
    • 3.6.2     Quantum Error Correction Code Families            156
    • 3.6.3     Fault Tolerance Requirements and Logical Qubit Demonstrations 157
    • 3.6.4     Magic State Distillation and Logical Gate Sets     159
    • 3.6.5     Hardware-Aware Error Correction           159
    • 3.6.6     QEC-Specific Vendors and Software Stack         160
    • 3.6.7     Resource Estimation for Fault-Tolerant Algorithms           160
    • 3.6.8     Market Forecast — QEC-Related Spending         161
  • 3.7        Quantum Computing in Data Centres      162
    • 3.7.1     Overview           162
    • 3.7.2     Photonic Deployment Models in Data Centres     162
  • 3.8        Quantum computing value chain 163
  • 3.9        Markets and applications for quantum computing 164
    • 3.9.1     Pharmaceuticals            164
      • 3.9.1.1  Market overview            164
        • 3.9.1.1.1           Drug discovery  164
        • 3.9.1.1.2           Diagnostics       165
        • 3.9.1.1.3           Molecular simulations    165
        • 3.9.1.1.4           Genomics         166
        • 3.9.1.1.5           Proteins and RNA folding           166
      • 3.9.1.2  Market players  166
    • 3.9.2     Chemicals         167
      • 3.9.2.1  Market overview            167
      • 3.9.2.2  Market players  168
    • 3.9.3     Transportation    168
      • 3.9.3.1  Market overview            168
      • 3.9.3.2  Market players  170
    • 3.9.4     Financial services          171
      • 3.9.4.1  Market overview            171
      • 3.9.4.2  Market players  171
  • 3.10      Opportunity analysis      172
  • 3.11      Technology roadmap      174
  • 3.12      Quantum-Inspired Classical Computing   177
    • 3.12.1   What is Quantum-Inspired Computing?   177
    • 3.12.2   Quantum-Inspired Algorithms     177
    • 3.12.3   Quantum-Inspired Hardware Architectures          177
    • 3.12.4   Commercial Applications            178
    • 3.12.5   Major Quantum-Inspired Vendors           178
    • 3.12.6   Quantum vs Quantum-Inspired: Strategic Positioning       179
    • 3.12.7   Market Forecast — Quantum-Inspired Computing            180

 

4          QUANTUM CHEMISTRY AND ARTIFICAL INTELLIGENCE (AI)  181

  • 4.1        Technology description   181
  • 4.2        Applications      181
  • 4.3        SWOT analysis 182
  • 4.4        Market challenges         183
  • 4.5        Market players  183
  • 4.6        Opportunity analysis      184
  • 4.7        Technology roadmap      185

 

5          QUANTUM MACHINE LEARNING          188

  • 5.1        What is Quantum Machine Learning?      188
  • 5.2        Classical vs. Quantum Computing Paradigms for ML       188
  • 5.3        Quantum Mechanical Principles for ML   189
  • 5.4        Machine Learning Fundamentals            189
  • 5.5        The Intersection — Why Combine Quantum and ML?      190
  • 5.6        QML Phases and Evolution        190
    • 5.6.1     The First Phase of QML 190
    • 5.6.2     The Second Phase of QML        191
  • 5.7        Algorithms and Software for QML           192
  • 5.8        Quantum Neural Networks         192
  • 5.9        Variational Quantum Classifiers  193
  • 5.10      Quantum Kernel Methods          193
  • 5.11      Advantages of QML       194
    • 5.11.1   Improved Optimisation and Generalisation           194
    • 5.11.2   Quantum Advantage in ML         194
    • 5.11.3   Training Advantages and Opportunities   195
    • 5.11.4   Improved Accuracy        195
  • 5.12      Challenges and Limitations        195
    • 5.12.1   Hardware Constraints    196
    • 5.12.2   Costs    197
    • 5.12.3   Nascent Technology       197
  • 5.13      QML Applications           197
  • 5.14      QML Roadmap  198
  • 5.15      Market Players  198
  • 5.16      Market Forecasts 2026–2036      199

 

6          QUANTUM SIMULATION           201

  • 6.1        What is Quantum Simulation?    201
  • 6.2        Analog vs. Digital Quantum Simulation    201
  • 6.3        Quantum Simulation Platforms   202
    • 6.3.1     Neutral Atom Simulators 203
    • 6.3.2     Trapped Ion Simulators  203
    • 6.3.3     Superconducting Circuit Simulators        204
    • 6.3.4     Photonic Simulators       204
  • 6.4        Applications of Quantum Simulation        204
    • 6.4.1     Molecular and Chemical Simulation        205
    • 6.4.2     Materials Discovery       206
    • 6.4.3     High-Energy Physics     206
    • 6.4.4     Condensed Matter Physics        207
    • 6.4.5     Drug Discovery and Protein Folding        207
  • 6.5        Quantum Chemistry Simulation  207
  • 6.6        Market Players  209
  • 6.7        SWOT Analysis 210
  • 6.8        Market Forecasts 2026–2036      210

 

7          QUANTUM COMMUNICATIONS            212

  • 7.1        Technology description   212
  • 7.2        Types   212
  • 7.3        Applications      213
  • 7.4        Quantum Random Numbers Generators (QRNG)            213
    • 7.4.1     Overview           213
    • 7.4.2     QRNG Product Design and Technology Evolution            215
    • 7.4.3     Entropy Sources            215
    • 7.4.4     High Throughput as Key Differentiator     217
    • 7.4.5     Standards Development 217
    • 7.4.6     Applications      218
      • 7.4.6.1  Encryption for Data Centers       219
      • 7.4.6.2  Consumer Electronics    220
      • 7.4.6.3  Automotive/Connected Vehicle   220
      • 7.4.6.4  Gambling and Gaming   221
      • 7.4.6.5  Monte Carlo Simulations            222
      • 7.4.6.6  Government and Defense Applications   223
      • 7.4.6.7  Enterprise Networks and Data Centers   223
      • 7.4.6.8  Automotive Applications 224
      • 7.4.6.9  Online Gaming  224
    • 7.4.7     Advantages       224
    • 7.4.8     Principle of Operation of Optical QRNG Technology         225
    • 7.4.9     Non-optical approaches to QRNG technology      227
    • 7.4.10   SWOT Analysis 228
    • 7.4.11   Market Forecasts          228
  • 7.5        Quantum Key Distribution (QKD)            229
    • 7.5.1     Overview           229
    • 7.5.2     Asymmetric and Symmetric Keys           229
    • 7.5.3     Principle behind QKD     231
    • 7.5.4     Why is QKD More Secure Than Other Key Exchange Mechanisms?         232
    • 7.5.5     Discrete Variable vs. Continuous Variable QKD Protocols 233
    • 7.5.6     MDI-QKD (Measurement Device Independent QKD)        234
    • 7.5.7     Fiber-Based QKD          235
    • 7.5.8     Free-Space and Satellite QKD    236
    • 7.5.9     Key Players      236
    • 7.5.10   Challenges        237
    • 7.5.11   SWOT Analysis 239
    • 7.5.12   Market Forecasts          240
  • 7.6        Post-quantum cryptography (PQC)         241
    • 7.6.1     Overview           241
    • 7.6.2     Security systems integration       241
    • 7.6.3     PQC standardization      241
      • 7.6.3.1  NIST Standardisation Process and Outcomes     242
      • 7.6.3.2  Migration Implications    242
    • 7.6.4     Transitioning cryptographic systems to PQC       243
    • 7.6.5     Market players  244
    • 7.6.6     SWOT Analysis 246
    • 7.6.7     Market Forecasts          247
      • 7.6.7.1  Beyond Algorithms: The Migration Reality           247
      • 7.6.7.2  The Migration Stack      248
      • 7.6.7.3  Industry-Specific Migration Programs      248
      • 7.6.7.4  Migration Services and Consulting Market           249
      • 7.6.7.5  Market Forecast — Quantum-Safe Migration       249
      • 7.6.7.6  Y2Q Timeline and Strategic Implications 250
  • 7.7        Quantum homomorphic cryptography      250
  • 7.8        Quantum Teleportation   251
  • 7.9        Quantum Networks        251
    • 7.9.1     Overview           251
    • 7.9.2     Advantages       251
    • 7.9.3     Role of Trusted Nodes and Trusted Relays          252
    • 7.9.4     Entanglement Swapping and Optical Switches    252
    • 7.9.5     Multiplexing quantum signals with classical channels in the O-band          253
      • 7.9.5.1  Wavelength-division multiplexing (WDM) and time-division multiplexing (TDM)      253
    • 7.9.6     Twin-Field Quantum Key Distribution (TF-QKD)   254
    • 7.9.7     Enabling global-scale quantum communication    254
    • 7.9.8     Advanced optical fibers and interconnects           255
    • 7.9.9     Photodetectors in quantum networks      256
      • 7.9.9.1  Avalanche photodetectors (APDs)          256
      • 7.9.9.2  Single-photon avalanche diodes (SPADs)           257
      • 7.9.9.3  Silicon Photomultipliers (SiPMs) 257
    • 7.9.10   Cryostats          258
      • 7.9.10.1            Cryostat architectures    258
    • 7.9.11   Infrastructure requirements         262
    • 7.9.12   Global activity   263
      • 7.9.12.1            China    263
      • 7.9.12.2            Europe  264
      • 7.9.12.3            The Netherlands            264
      • 7.9.12.4            The United Kingdom      265
      • 7.9.12.5            US        265
      • 7.9.12.6            Japan   266
    • 7.9.13   SWOT analysis 267
  • 7.10      Quantum Memory          268
  • 7.11      Quantum Internet          268
  • 7.12      Global Market for Quantum Communications by Technology Type 2026–2036       268
  • 7.13      Market challenges         269
  • 7.14      Market players  270
  • 7.15      Opportunity analysis      272
  • 7.16      Technology roadmap      274

 

8          QUANTUM SENSORS  276

  • 8.1        Technology description   276
    • 8.1.1     Quantum Sensing Principles      277
    • 8.1.2     SWOT analysis 280
    • 8.1.3     Atomic Clocks   281
      • 8.1.3.1  High frequency oscillators          282
        • 8.1.3.1.1           Emerging oscillators      282
      • 8.1.3.2  Caesium atoms 282
      • 8.1.3.3  Self-calibration   282
      • 8.1.3.4  Optical atomic clocks     283
        • 8.1.3.4.1           Chip-scale optical clocks           283
      • 8.1.3.5  Bench/Rack-Scale Atomic Clocks           284
      • 8.1.3.6  Chip-Scale Atomic Clocks (CSAC)          285
      • 8.1.3.7  Atomic Clocks Market Forecasts — Total 286
      • 8.1.3.8  Companies        286
      • 8.1.3.9  SWOT analysis 287
    • 8.1.4     Quantum Magnetic Field Sensors           288
      • 8.1.4.1  Introduction       288
      • 8.1.4.2  Motivation for use          289
      • 8.1.4.3  Market opportunity         290
      • 8.1.4.4  Superconducting Quantum Interference Devices (Squids)            291
        • 8.1.4.4.1           Applications      291
        • 8.1.4.4.2           Key players       293
        • 8.1.4.4.3           SWOT analysis 294
      • 8.1.4.5  Optically Pumped Magnetometers (OPMs)          294
        • 8.1.4.5.1           Applications      295
        • 8.1.4.5.2           Key players       295
        • 8.1.4.5.3           SWOT analysis 296
      • 8.1.4.6  Tunneling Magneto Resistance Sensors (TMRs)  297
        • 8.1.4.6.1           Applications      297
        • 8.1.4.6.2           Key players       298
        • 8.1.4.6.3           SWOT analysis 298
      • 8.1.4.7  Nitrogen Vacancy Centers (N-V Centers)             299
        • 8.1.4.7.1           Applications      299
        • 8.1.4.7.2           Key players       300
        • 8.1.4.7.3           SWOT analysis 301
    • 8.1.5     Quantum Gravimeters    302
      • 8.1.5.1  Technology description   302
      • 8.1.5.2  Applications      302
      • 8.1.5.3  Key players       305
      • 8.1.5.4  SWOT analysis 306
    • 8.1.6     Quantum Gyroscopes    307
      • 8.1.6.1  Technology description   307
        • 8.1.6.1.1           Inertial Measurement Units (IMUs)          308
        • 8.1.6.1.2           Atomic quantum gyroscopes      308
      • 8.1.6.2  Applications      309
      • 8.1.6.3  Key players       310
      • 8.1.6.4  SWOT analysis 311
    • 8.1.7     Quantum Image Sensors           312
      • 8.1.7.1  Technology description   312
      • 8.1.7.2  Applications      313
      • 8.1.7.3  SWOT analysis 313
      • 8.1.7.4  Key players       314
    • 8.1.8     Quantum Radar 318
      • 8.1.8.1  Technology description   318
      • 8.1.8.2  Applications      320
    • 8.1.9     Quantum Navigation      323
    • 8.1.10   Quantum Sensor Components    323
    • 8.1.11   Quantum Chemical Sensors       325
      • 8.1.11.1 Technology overview      325
      • 8.1.11.2 Commercial activities    325
    • 8.1.12   Quantum Radio Frequency Field Sensors           326
      • 8.1.12.1            Overview           326
      • 8.1.12.2            Rydberg Atom Based Electric Field Sensors and Radio Receivers            330
        • 8.1.12.2.1          Principles          330
        • 8.1.12.2.2          Commercialization         331
      • 8.1.12.3            Nitrogen-Vacancy Centre Diamond Electric Field Sensors and Radio Receivers    332
        • 8.1.12.3.1          Principles          332
        • 8.1.12.3.2          Applications      333
      • 8.1.12.4            Market  335
    • 8.1.13   Quantum NEM and MEMs         340
      • 8.1.13.1            Technology description   340
  • 8.2        Market and technology challenges          340
  • 8.3        Market forecasts           341
    • 8.3.1     By Sensor Type 341
    • 8.3.2     By Volume         343
    • 8.3.3     By Sensor Price 344
    • 8.3.4     By End-Use Industry      346
  • 8.4        Technology roadmap      347

 

9          QUANTUM BATTERIES            350

  • 9.1        Technology description   350
  • 9.2        Types   351
  • 9.3        Applications      351
  • 9.4        SWOT analysis 352
  • 9.5        Market challenges         353
  • 9.6        Market players  353
  • 9.7        Opportunity analysis      354
  • 9.8        Technology roadmap      355

 

10         END-USE MARKETS AND APPLICATIONS        358

  • 10.1      Overview           358
  • 10.2      Pharmaceuticals and Drug Discovery     359
    • 10.2.1           Market Overview           359
    • 10.2.2   Drug Discovery Applications       360
  • 10.3      Financial Services         361
    • 10.3.1   Market Overview           361
    • 10.3.2   Portfolio Optimisation     362
    • 10.3.3   Risk Assessment           362
    • 10.3.4   Algorithmic Trading        362
    • 10.3.5   Fraud Detection 362
  • 10.4      Aerospace and Defence 363
    • 10.4.1   Market Overview           363
    • 10.4.2   Navigation and Positioning         363
    • 10.4.3   Secure Communications            364
    • 10.4.4   Simulation and Optimisation       364
  • 10.5      Energy and Utilities       364
    • 10.5.1   Market Overview           364
    • 10.5.2   Grid Optimisation           365
    • 10.5.3   Renewable Energy Integration    365
    • 10.5.4   Carbon Capture Optimisation     365
  • 10.6      Healthcare and Medical 366
    • 10.6.1   Market Overview           366
    • 10.6.2   Medical Imaging            366
    • 10.6.3   Diagnostics       366
    • 10.6.4   Personalized Medicine   367
  • 10.7      Telecommunications      367
    • 10.7.1   Market Overview           367
    • 10.7.2   Network Optimisation     367
    • 10.7.3   Quantum-Secure Networks        367
  • 10.8      Government and Public Sector   368
    • 10.8.1   Market Overview           368

 

11         MATERIALS FOR QUANTUM TECHNOLOGIES 369

  • 11.1      Superconductors            370
    • 11.1.1   Overview           370
    • 11.1.2   Types and Properties     370
    • 11.1.3   Critical Temperature and Material Selection         370
      • 11.1.3.1 Critical Material Supply Chain Considerations      371
    • 11.1.4   Superconducting Quantum Circuits         372
      • 11.1.4.1 Introduction       372
      • 11.1.4.2 Fabricating Superconducting Qubits       373
    • 11.1.5   Defects and Sources of Noise    374
    • 11.1.6   Superconducting Nanowire Single-Photon Detectors (SNSPDs) — Materials and Fabrication         375
    • 11.1.7   Opportunities     376
  • 11.2      Photonics, Silicon Photonics and Optical Components     377
    • 11.2.1   Overview           377
    • 11.2.2   Types and Properties     377
    • 11.2.3   Photonic Integrated Circuits for Quantum Technology      377
      • 11.2.3.1 Overview           377
    • 11.2.4   PICs for Quantum Sensing         379
    • 11.2.5   Opportunities     380
  • 11.3      Nanomaterials   381
    • 11.3.1   Overview           381
    • 11.3.2   Types and Properties     381
    • 11.3.3   Opportunities     381
  • 11.4      Artificial Diamond for Quantum Technology         382
    • 11.4.1   Overview           382
    • 11.4.2   Supply Chain and Materials for Diamond-Based Quantum Computers      383
    • 11.4.3   Quantum Grade Diamond           384
    • 11.4.4   Silicon-Vacancy in Diamond Quantum Memory    384
  • 11.5      Cryogenic Infrastructure 384
    • 11.5.1   The Role of Cryogenics in Quantum Computing   384
    • 11.5.2   Operating Temperature Requirements by Modality           385
    • 11.5.3   Dilution Refrigerators      385
      • 11.5.3.1 Cryogen-Free vs. Wet Systems  385
        • 11.5.3.1.1.1       Modular and Cube-Format Architectures 386
    • 11.5.4   Pulse Tube and Cryocoolers       386
    • 11.5.5   Alternative Cooling Technologies            386
    • 11.5.6   Dilution Refrigerator Vendor Landscape  386
    • 11.5.7   Partnership Models        387
    • 11.5.8   Cryogenic System Lead Times and Capacity Constraints 387
    • 11.5.9   Ten-Year Forecast — Installed Base of Dilution Refrigerators        388
  • 11.6      Helium-3 Supply Chain   388
    • 11.6.1   Why Helium-3 Matters for Quantum Computing   388
    • 11.6.2   ³He Production from Tritium Decay         388
    • 11.6.3   ³He Supply Sources and Annual Production Estimates    389
    • 11.6.4   Demand-Supply Gap Modelling, 2026–2046        389
    • 11.6.5   Lunar Regolith Harvesting (Interlune)      389
    • 11.6.6   Helium-4 Industrial Supply Risk  390
    • 11.6.7   Strategic Stockpiling and Mitigation         390
  • 11.7      Cryogenic Control Electronics and Cryo-CMOS   390
    • 11.7.1   The Wiring Crisis — Why Room-Temperature Control Cannot Scale         390
    • 11.7.2   Architectural Approaches            391
    • 11.7.3   NVQLink and the Quantum-Classical Data Centre Convergence   391
    • 11.7.4   Cryo-CMOS Devices and Process Technology    391
    • 11.7.5   Vendor Landscape         392
    • 11.7.6   Cryogenic Amplifiers — TWPAs, HEMT and Parametric   393
    • 11.7.7   Heat Load Budgets and Power Dissipation Constraints    393
    • 11.7.8   Ten-Year Forecast — Cryo-CMOS Market and Penetration           393
  • 11.8      Lasers and Photonic Components by Modality    394
    • 11.8.1   The Laser Bill of Materials in a Quantum System 394
    • 11.8.2   Wavelengths Required by Atomic and Solid-State Modalities        394
    • 11.8.3   Laser Technology Platforms       395
    • 11.8.4   Linewidth, Stability and Phase Noise Requirements         395
    • 11.8.5   Photonic Component Suppliers   395
    • 11.8.6   Laser Vendor Capability Matrix   396
    • 11.8.7   Single-Photon Detection 397
    • 11.8.8   Photonic Integrated Circuits and Foundry Access            398
  • 11.9      Ultra-High Vacuum (UGV) Systems        398
    • 11.9.1   Vacuum Pressure Requirements by Modality       398
    • 11.9.2   UHV Chamber Design and Materials       399
    • 11.9.3   Vacuum Pumps and Hardware    399
    • 11.9.4   Vacuum Feedthroughs and Hermetic Seals         400
    • 11.9.5   Vapour Cell Technology and Atomic Sources       400
    • 11.9.6   UHV Vendor Capability Matrix    401
  • 11.10    Microwave and Optical Interconnects      402
    • 11.10.1  Cryogenic Microwave Cabling     402
    • 11.10.2  High-Density Cryogenic Connectors        402
    • 11.10.3  Cryogenic Attenuators and Filters           403
    • 11.10.4  Circulators, Isolators and Switches         403
    • 11.10.5  Optical Interconnects for Photonic and Modular Quantum Systems          403
    • 11.10.6  Microwave-to-Optical Transducers          404
    • 11.10.7  Vendor Landscape         404
  • 11.11     Supply Chain Bottleneck Assessment     404
    • 11.11.1  Methodology — Severity, Probability and Time-to-Resolution Framework  404
    • 11.11.2  Critical Bottlenecks        405
    • 11.11.3  High-Severity Bottlenecks          405
    • 11.11.4  Bottleneck Heat-Map by Modality           405
    • 11.11.5  Mitigation Strategies      406
  • 11.12    Materials Market Forecasts        406
    • 11.12.1  Forecasting Methodology and Scenario Definitions          406
    • 11.12.2  Superconducting Chips and Substrates   407
    • 11.12.3  Photonic Integrated Circuits and Optical Components      407
    • 11.12.4  Cryogenic Infrastructure 408
    • 11.12.5  Helium-3 and Helium-4 Supply   408
    • 11.12.6  Cryogenic Control Electronics and Cryo-CMOS   409
    • 11.12.7  Lasers and Single-Photon Detectors       409
    • 11.12.8  Ultra-High Vacuum Systems      409
    • 11.12.9  Microwave and Optical Interconnects      410
    • 11.12.10            Diamond and Quantum Materials           410
    • 11.12.11            Nanomaterials for Quantum Applications 411
  • 11.13    North America   412
    • 11.13.1  United States    412
    • 11.13.2  Canada 413
  • 11.14    Europe  413
    • 11.14.1  European Union Initiatives         413
    • 11.14.2  United Kingdom 413
    • 11.14.3  Germany           414
    • 11.14.4  France  414
    • 11.14.5  Netherlands       414
  • 11.15    Asia-Pacific       415
    • 11.15.1  China    415
    • 11.15.2  Japan   415
    • 11.15.3  South Korea      416
    • 11.15.4  Australia           416
    • 11.15.5  Singapore          416
  • 11.16    Rest of World    416
  • 11.17    Government Initiatives Comparison         417

 

12         GLOBAL MARKET ANALYSIS   419

  • 12.1      Market map       419
  • 12.2      Key industry players      420
    • 12.2.1   Start-ups           421
    • 12.2.2   Tech Giants       421
    • 12.2.3   National Initiatives         422
  • 12.3      Global market revenues 2018-2046         422
    • 12.3.1   Quantum Computing      422
    • 12.3.2   Quantum Sensors         422
    • 12.3.3   QKD Systems   423
    • 12.3.4   Quantum Random Number Generators (QRNG)  424
    • 12.3.5   Post-Quantum Cryptography (PQC)        425
    • 12.3.6   Quantum Machine Learning        425
    • 12.3.7   Quantum Simulation      426
    • 12.3.8   Quantum Batteries        426
    • 12.3.9   Total Quantum TechnologyMarket — Consolidated Forecast        427
    • 12.3.10 Quantum Hardware Supply Chain Market           428
    • 12.3.10.1           Geographic Distribution of Supply Chain Revenue           429
    • 12.3.11  Total Quantum Technology Market Including Supply Chain           430
  • 12.4      Quantum Workforce and Talent Market   430
    • 12.4.1   Why Workforce Matters 430
    • 12.4.2   The Quantum Talent Pyramid     431
    • 12.4.3   University Programs and Degrees           431
    • 12.4.4   Industry Training Programs         431
    • 12.4.5   Government Workforce Initiatives           432
    • 12.4.6   Compensation Benchmarks       432
    • 12.4.7   Workforce Market Forecast        433

 

13         COMPANY PROFILES  435 (345 company profiles)

 

14         RESEARCH METHODOLOGY      666

 

15         TERMS AND DEFINITIONS       667

 

16         REFERENCES  670

 

List of Tables

  • Table 1. 2025–2026 Quantum Technology Investment     39
  • Table 2. First and second quantum revolutions.   42
  • Table 3. Technology Readiness Level (TRL) assessment by quantum platform      44
  • Table 4. Quantum Technology Total Investments 2012–2026 (millions USD)          46
  • Table 5. Major Quantum Technologies Investments 2024–H1 2026           46
  • Table 6. Quantum Technology Investments 2012–2026 by Technology Subsector (millions USD)    50
  • Table 7. Quantum Technology Funding 2022–2026 by Company (USD)    51
  • Table 8. Quantum Technology Investment by Application 2012–2026 (millions USD)          52
  • Table 9. Quantum Technology Investments 2012–2026 by Region (millions USD)  53
  • Table 10. Key Quantum Investment Trends 2025–2026    55
  • Table 11. Global Government Quantum Commitments (2022–2026)          63
  • Table 12. Challenges for quantum technologies adoption.             66
  • Table 13. Top Ten Most Severe Supply Chain Bottlenecks, 2026   67
  • Table 14. Quantum Technologyvalue chain          70
  • Table 15. Total Quantum Technology Market Forecast 2026–2046 (billions USD)   71
  • Table 16. Quantum Technology Market by Segment — Revenue, Share, and Growth Rate, 2026–2046 (billions USD, %)            72
  • Table 17. Quantum Technology Market by End-Use Industry 2026–2046 (billions USD)      73
  • Table 18. Quantum Technology Market by Region 2026–2046 (billions USD)         74
  • Table 19. First and second quantum revolutions  75
  • Table 20. Comparison — Classical vs. Quantum Technologies      79
  • Table 21.  Applications for quantum computing    84
  • Table 22. Comparison of classical versus quantum computing.     85
  • Table 23. Key quantum mechanical phenomena utilized in quantum computing.    86
  • Table 24. Types of quantum computers.  86
  • Table 25. Qubit performance benchmarking by platform   91
  • Table 26. Coherence times for different qubit implementations      92
  • Table 27. Quantum computer benchmarking metrics        92
  • Table 28. Logical qubit progress  93
  • Table 29. Comparative analysis of quantum computing with classical computing, quantum-inspired computing, and neuromorphic computing.           94
  • Table 30. Different computing paradigms beyond conventional CMOS.     94
  • Table 31. Applications of quantum algorithms.     96
  • Table 32. QML approaches.        97
  • Table 33. Modular vs. single core architectures    100
  • Table 34. Heterogeneous architectural approaches by provider     100
  • Table 35. Coherence times for different qubit implementations.     102
  • Table 36. Superconducting Qubit Vendor Material Choices, 2026  106
  • Table 37. Superconducting qubit market players. 107
  • Table 38. Initialization, manipulation and readout for trapped ion quantum computers.       110
  • Table 39. Trapped Ion Species Comparison, 2026           111
  • Table 40. Trapped Ion Vendor Architecture Comparison, 2026      112
  • Table 41. Ion trap market players.           114
  • Table 42.  Initialization, manipulation, and readout methods for silicon-spin qubits. 118
  • Table 43. Silicon spin qubits market players.       119
  • Table 44. Initialization, manipulation and readout of topological qubits.      122
  • Table 45. Topological qubits market players.        123
  • Table 46. Pros and cons of photon qubits.           124
  • Table 47. Photonic Quantum Computing Architectural Classes, 2026        126
  • Table 48. Photonic Qubit Initialization, Manipulation and Readout 127
  • Table 49. Photonic Quantum Computing Race to Fault Tolerance — Tier Analysis 128
  • Table 50. Photonic qubit market players. 129
  • Table 51. Initialization, manipulation and readout for neutral-atom quantum computers.     134
  • Table 52. Pros and cons of cold atoms quantum computers and simulators           134
  • Table 53. Neural atom qubit market players.        135
  • Table 54. Initialization, manipulation and readout of Diamond-Defect Spin-Based Computing.         137
  • Table 55.  Key materials for developing diamond-defect spin-based quantum computers.   138
  • Table 56. Diamond-defect qubits market players. 140
  • Table 57. Pros and cons of quantum annealers.   141
  • Table 58. Quantum annealers market players.     143
  • Table 59. Quantum computing infrastructure requirements            145
  • Table 60. Major Commercial Quantum Cloud Platforms, 2026      148
  • Table 61. Quantum Cloud Platform Market Forecast, 2026–2036 (millions USD)    149
  • Table 62. Quantum computing software market players.   150
  • Table 63. Market challenges in quantum computing.        153
  • Table 64. Business models in quantum computing           155
  • Table 65. Quantum Error Correcting Code Family Comparison      157
  • Table 66. Recent Logical Qubit Demonstrations   158
  • Table 67. Logical Qubit Roadmap by Vendor, 2026–2032  158
  • Table 68. Magic State Distillation Resource Estimates     159
  • Table 69. Resource Estimates for Reference Fault-Tolerant Algorithms (Current Best Estimates)   160
  • Table 70. QEC-Related Market Forecast, 2026–2036 (millions USD)         161
  • Table 71. Photonic Quantum Computing Deployment Models       163
  • Table 72. Quantum computing value chain.         163
  • Table 73. Markets and applications for quantum computing.         164
  • Table 74. Market players in quantum technologies for pharmaceuticals.    166
  • Table 75. Market players in quantum computing for chemicals.     168
  • Table 76. Automotive applications of quantum computing,            168
  • Table 77. Market players in quantum computing for transportation.            170
  • Table 78. Market players in quantum computing for financial services       171
  • Table 79. Market opportunities in quantum computing.     172
  • Table 80. Major Quantum-Inspired Computing Vendors, 2026       178
  • Table 81. Quantum vs Quantum-Inspired Comparison      179
  • Table 82. Quantum-Inspired Computing Market Forecast, 2026–2036 (millions USD)         180
  • Table 83. Applications in quantum chemistry and artificial intelligence (AI).            181
  • Table 84. Market challenges in quantum chemistry and Artificial Intelligence (AI).  183
  • Table 85. Market players in quantum chemistry and AI.    183
  • Table 86. Market opportunities in quantum chemistry and AI.       184
  • Table 87. Classical vs. quantum computing paradigms for machine learning          188
  • Table 88. QML phases and evolution      191
  • Table 89. QML approaches         192
  • Table 90. Advantages of quantum machine learning         194
  • Table 91. Challenges and limitations of QML       195
  • Table 92. QML applications by industry   197
  • Table 93. QML market players    198
  • Table 94. QML market forecasts 2026–2036 (millions USD)          199
  • Table 95. Comparison of analog and digital quantum simulation approaches         201
  • Table 96. Quantum simulation platforms comparison        202
  • Table 97. Applications of quantum simulation by industry  204
  • Table 98. Applications in quantum chemistry and artificial intelligence       208
  • Table 99. Market challenges in quantum chemistry simulation      208
  • Table 100. Quantum simulation market players    209
  • Table 101. Quantum simulation market forecasts 2026–2036 (millions USD)         210
  • Table 102. Main types of quantum communications.        212
  • Table 103. Applications in quantum communications.       213
  • Table 104. QRNG entropy sources comparison   215
  • Table 105. QRNG standards development           217
  • Table 106. QRNG applications.   218
  • Table 107. Key Players Developing QRNG Products.       225
  • Table 108. Optical QRNG by company.   226
  • Table 109. QRNG market forecasts 2026–2036 by application segment (millions USD)      228
  • Table 110. QKD protocols comparison     234
  • Table 111. Markets for QKD systems by end-use industry and delivery method 2026–2036 (millions USD)  240
  • Table 112. Market players in post-quantum cryptography. 244
  • Table 113. PQC market forecasts by cryptographic approach 2026–2036 (millions USD)    247
  • Table 114. Quantum-Safe Migration Market Forecast, 2026–2036 (millions USD)  249
  • Table 115. Reference Q-Day Estimates by Source, 2026  250
  • Table 116. Global market for quantum communications by technology type 2026–2036 (millions USD)       269
  • Table 117. Market challenges in quantum communications.          269
  • Table 118. Market players in quantum communications.   270
  • Table 119. Market opportunities in quantum communications.       273
  • Table 120.  Comparison between classical and quantum sensors.            276
  • Table 121. Applications in quantum sensors.       277
  • Table 122. Technology approaches for enabling quantum sensing            278
  • Table 123. Value proposition for quantum sensors.          279
  • Table 124. Key challenges and limitations of quartz crystal clocks vs. atomic clocks.         281
  • Table 125.  New modalities being researched to improve the fractional uncertainty of atomic clocks.          283
  • Table 126. Global market for bench/rack-scale atomic clocks 2026–2036 (millions USD)    285
  • Table 127. Global market for chip-scale atomic clocks 2026–2036 (millions USD)  286
  • Table 128. Global market for atomic clocks 2026–2036 (billions USD)       286
  • Table 129. Companies developing high-precision quantum time measurement       286
  • Table 130. Key players in atomic clocks. 288
  • Table 131. Comparative analysis of key performance parameters and metrics of magnetic field sensors.    289
  • Table 132. Types of magnetic field sensors.        290
  • Table 133. Market opportunity for different types of quantum magnetic field sensors.         291
  • Table 134. Applications of SQUIDs.        291
  • Table 135. Market opportunities for SQUIDs (Superconducting Quantum Interference Devices).     293
  • Table 136. Key players in SQUIDs.         293
  • Table 137. Applications of optically pumped magnetometers (OPMs).       295
  • Table 138. Key players in Optically Pumped Magnetometers (OPMs).       295
  • Table 139. Applications for TMR (Tunneling Magnetoresistance) sensors. 297
  • Table 140. Market players in TMR (Tunneling Magnetoresistance) sensors.          298
  • Table 141. Applications of N-V center magnetic field centers        300
  • Table 142. Key players in N-V center magnetic field sensors.       300
  • Table 143. Applications of quantum gravimeters   303
  • Table 144. Comparative table between quantum gravity sensing and some other technologies commonly used for underground mapping.   303
  • Table 145. Key players in quantum gravimeters.  305
  • Table 146. Comparison of quantum gyroscopes with MEMs gyroscopes and optical gyroscopes.   307
  • Table 147. Markets and applications for quantum gyroscopes.      309
  • Table 148. Key players in quantum gyroscopes.  310
  • Table 149. Types of quantum image sensors and their key features/.        312
  • Table 150. Applications of quantum image sensors.         313
  • Table 151. Key players in quantum image sensors.          314
  • Table 152. Comparison of quantum radar versus conventional radar and lidar technologies.           319
  • Table 153. Applications of quantum radar.           320
  • Table 154. Single-photon detector technology comparison            322
  • Table 155. SNSPD market players          322
  • Table 156. Quantum sensor component categories and functions 324
  • Table 157. Challenges for quantum sensor components   325
  • Table 158. Value Proposition of Quantum RF Sensors     326
  • Table 159. Types of Quantum RF Sensors          328
  • Table 160. Markets for Quantum RF Sensors      335
  • Table 161. Technology Transition Milestones.      339
  • Table 162. Market and technology challenges in quantum sensing.           341
  • Table 163. Global market for quantum sensors by sensor type 2018–2036 (Millions USD)  342
  • Table 164. Extended forecast to 2046 (Millions USD)       342
  • Table 165. Global market for quantum sensors by volume 2018–2046 (Units)        343
  • Table 166. Global market for quantum sensors by sensor price 2025–2046 (Units)            344
  • Table 167. Extended price segmentation to 2046 (Units — selected years)           345
  • Table 168. Global market for quantum sensors by end-use industry 2018–2036 (Millions USD)      346
  • Table 169. Extended forecast to 2046 (Millions USD)       346
  • Table 170. Comparison between quantum batteries and other conventional battery types. 350
  • Table 171. Types of quantum batteries.   351
  • Table 172. Applications of quantum batteries.      351
  • Table 173. Market challenges in quantum batteries.         353
  • Table 174. Market players in quantum batteries.  353
  • Table 175. Market opportunities in quantum batteries.      354
  • Table 176. Total addressable market (TAM) for quantum technologies by sector    358
  • Table 177. End-user industry investment in quantum readiness    359
  • Table 178. Market players in quantum technologies for pharmaceuticals   361
  • Table 179. Market players in quantum computing for financial services     363
  • Table 180. Materials in Quantum Technology.      369
  • Table 181. Superconductors in quantum technology.        370
  • Table 182. Critical temperature of superconducting materials for quantum technology        371
  • Table 183. Transmon superconducting qubit structure and materials         372
  • Table 184. Summary of manufacturing processes for superconducting quantum chips       373
  • Table 185. Defects and sources of noise for superconducting quantum circuits     374
  • Table 186. Fabrication methods for SNSPDs       375
  • Table 187. Photonics, silicon photonics and optics in quantum technology.            377
  • Table 188. Quantum PIC material platforms benchmarked            378
  • Table 189. PIC materials used by quantum technology companies            379
  • Table 190. Nanomaterials in quantum technology.            381
  • Table 191. Material advantages and disadvantages of diamond for quantum applications   382
  • Table 192. Synthetic diamond value chain for quantum technology           383
  • Table 193. Cryogenic Operating Temperature Requirements by Quantum Computing Modality       385
  • Table 194. Dilution Refrigerator Pricing Bands by Configuration, 2026       386
  • Table 195. Dilution Refrigerator Vendor Comparison, 2026           387
  • Table 196. Dilution Refrigerator Lead Times, 2022 vs. 2026          387
  • Table 197. Installed Base Forecast — Dilution Refrigerators by Region 2026–2036 (units, cumulative)       388
  • Table 198. Helium-3 Annual Production by Source, 2026  389
  • Table 199. Helium-3 Demand Forecast for Quantum Computing, 2026–2046         389
  • Table 200. Helium-3 Supply-Demand Balance Forecast, 2026–2046 (litres STP per year)  389
  • Table 201. Wiring Density Requirements vs. Cryogenic Cooling Budget    390
  • Table 202. NVQLink Ecosystem Participation, 2026         391
  • Table 203. Cryo-CMOS and Cryogenic Control Vendor Capabilities, 2026 392
  • Table 204. Cryogenic Amplifier Performance Benchmarks            393
  • Table 205. Cryo-CMOS Market Forecast, 2026–2036 (millions USD)        393
  • Table 206. Required Laser Wavelengths by Quantum Computing Modality            394
  • Table 207. Laser Linewidth Requirements by Application  395
  • Table 208. Laser Vendor Capability Matrix, 2026  396
  • Table 209. Single-Photon Detector Technology Comparison, 2026            397
  • Table 210. PIC Material Platform Comparison for Quantum Applications   398
  • Table 211. Vacuum Pressure Requirements by Modality   398
  • Table 212. Optical Viewport Specifications and Suppliers 399
  • Table 213. UHV Pump Type Selection Matrix       400
  • Table 214. Vapour Cell and Atomic Source Suppliers       401
  • Table 215. UHV Vendor Capability Matrix, 2026   401
  • Table 216. Cryogenic Cable Type Comparison     402
  • Table 217. High-Density Cryogenic Connector Comparison          403
  • Table 218. Cryogenic Attenuator Pricing and Specifications          403
  • Table 219. Cryogenic Interconnect Vendor Comparison, 2026      404
  • Table 220. Bottleneck Heat-Map by Quantum Computing Modality           405
  • Table 221. Bottleneck Mitigation Pathways          406
  • Table 222. Superconducting Chip and Substrate Market Forecast, 2026–2036 (millions USD)        407
  • Table 223. PIC and Optical Component Market Forecast, 2026–2036 (millions USD)         407
  • Table 224. Cryogenic Infrastructure Market Forecast, 2026–2036 (millions USD)   408
  • Table 225. Helium-3 and Helium-4 Market Forecast, 2026–2036 (millions USD, quantum applications only)            408
  • Table 226. Cryogenic Control Electronics Market Forecast, 2026–2036 (millions USD)       409
  • Table 227. Lasers and Single-Photon Detectors Market Forecast, 2026–2036 (millions USD)         409
  • Table 228. UHV Systems Market Forecast, 2026–2036 (millions USD)      410
  • Table 229. Cryogenic and Optical Interconnect Market Forecast, 2026–2036 (millions USD)          410
  • Table 230. Diamond and Specialty Materials Market Forecast, 2026–2036 (millions USD)  411
  • Table 231. Nanomaterials Market Forecast, 2026–2036 (millions USD)     411
  • Table 232. Total Materials and Components Market Forecast, 2026–2036 (millions USD)   412
  • Table 233. Global government quantum initiatives comparison     417
  • Table 234. Global Market for Quantum Computing — Hardware, Software & Services 2025–2046 (billions USD)     422
  • Table 235. Markets for Quantum Sensors by Type 2025–2046 (millions USD)       423
  • Table 236. Markets for QKD Systems 2025–2046 (millions USD)  423
  • Table 237. Global Market for Quantum Random Number Generators by Application 2025–2046 (millions USD)       424
  • Table 238. Global Market for Post-Quantum Cryptography by Approach 2025–2046 (millions USD)            425
  • Table 239. Global Market for Quantum Machine Learning by Segment 2025–2046 (millions USD)  425
  • Table 240. Global Market for Quantum Simulation by Application 2025–2046 (millions USD)          426
  • Table 241. Global Market for Quantum Batteries by Application 2025–2046 (millions USD) 427
  • Table 242. Total Quantum Technology Market by Segment 2026–2046 (billions USD)        427
  • Table 243. Quantum Technology Market by End-Use Industry 2026–2046 (billions USD)    427
  • Table 244. Quantum Technology Market by Region 2026–2046 (billions USD)       428
  • Table 245. Quantum Hardware Supply Chain Market by Category, 2026–2046 (millions USD)        428
  • Table 246. Quantum Hardware Supply Chain Revenue by Region, 2026–2046 (millions USD)        429
  • Table 247. Total Quantum Technology Market Including Supply Chain, 2026–2046 (billions USD)   430
  • Table 248. Quantum Technology Compensation Benchmarks, 2026 (USD, total compensation including equity)      432
  • Table 249. Quantum Workforce Market Forecast, 2026–2036 (millions USD)         433

 

List of Figures

  • Figure 1. Quantum computing development timeline.       43
  • Figure 2. Quantum Technology Market Map.       68
  • Figure 3. Quantum computing architectures.       82
  • Figure 4. An early design of an IBM 7-qubit chip based on superconducting technology.    83
  • Figure 5. Various 2D to 3D chips integration techniques into chiplets.       85
  • Figure 6. IBM Q System One quantum computer.            88
  • Figure 7. Unconventional computing approaches.            95
  • Figure 8. 53-qubit Sycamore processor.  98
  • Figure 9. Interior of IBM quantum computing system. The quantum chip is located in the small dark square at center bottom. 101
  • Figure 10. Superconducting quantum computer.  104
  • Figure 11. Superconducting quantum computer schematic.          104
  • Figure 12.  Components and materials used in a superconducting qubit.   105
  • Figure 13. SWOT analysis for superconducting quantum computers:.       108
  • Figure 14. Ion-trap quantum computer.   109
  • Figure 15. Various ways to trap ions.      110
  • Figure 16.  Universal Quantum’s shuttling ion architecture in their Penning traps.  112
  • Figure 17. SWOT analysis for trapped-ion quantum computing.    115
  • Figure 18. CMOS silicon spin qubit.        116
  • Figure 19. Silicon quantum dot qubits.    118
  • Figure 20. SWOT analysis for silicon spin quantum computers.    121
  • Figure 21. SWOT analysis for topological qubits  123
  • Figure 22 . SWOT analysis for photonic quantum computers.       131
  • Figure 23. Neutral atoms (green dots) arranged in various configurations  133
  • Figure 24. SWOT analysis for neutral-atom quantum computers.  136
  • Figure 25. NV center components.          137
  • Figure 26. SWOT analysis for diamond-defect quantum computers.         139
  • Figure 27. D-Wave quantum annealer.    142
  • Figure 28. SWOT analysis for quantum annealers.           143
  • Figure 29. Quantum software development platforms.      146
  • Figure 30. SWOT analysis for quantum computing.          155
  • Figure 31. Technology roadmap for quantum computing 2025-2046.         176
  • Figure 32. SWOT analysis for quantum chemistry and AI.            183
  • Figure 33. Technology roadmap for quantum chemistry and AI 2025-2046.            187
  • Figure 34. IDQ quantum number generators.       214
  • Figure 35. SWOT Analysis of Quantum Random Number Generator Technology.  228
  • Figure 36. SWOT Analysis of Quantum Key Distribution Technology.        240
  • Figure 37. SWOT Analysis: Post Quantum Cryptography (PQC).  247
  • Figure 38. SWOT analysis for networks.  268
  • Figure 39. Technology roadmap for quantum communications 2025-2046.             275
  • Figure 40. Q.ANT quantum particle sensor.         280
  • Figure 41. SWOT analysis for quantum sensors market.  281
  • Figure 42. NIST's compact optical clock. 284
  • Figure 43. SWOT analysis for atomic clocks.      288
  • Figure 44.Principle of SQUID magnetometer.      292
  • Figure 45. SWOT analysis for SQUIDS.  294
  • Figure 46. SWOT analysis for OPMs      296
  • Figure 47. Tunneling magnetoresistance mechanism and TMR ratio formats.        297
  • Figure 48. SWOT analysis for TMR (Tunneling Magnetoresistance) sensors.        299
  • Figure 49. SWOT analysis for N-V Center Magnetic Field Sensors.          301
  • Figure 50. Quantum Gravimeter. 302
  • Figure 51. SWOT analysis for Quantum Gravimeters.      307
  • Figure 52. SWOT analysis for Quantum Gyroscopes.      311
  • Figure 53. SWOT analysis for Quantum image sensing.   314
  • Figure 54. Principle of quantum radar.     319
  • Figure 55. Illustration of a quantum radar prototype.        319
  • Figure 56. Quantum RF Sensors Market Roadmap (2023-2046).   339
  • Figure 57. Technology roadmap for quantum sensors 2025-2046. 349
  • Figure 58. Schematic of the flow of energy (blue) from a source to a battery made up of multiple cells. (left)           350
  • Figure 59. SWOT analysis for quantum batteries.            352
  • Figure 60. Technology roadmap for quantum batteries 2025-2046.            357
  • Figure 61. Market map for quantum technologies industry.           420
  • Figure 62. Tech Giants quantum technologies activities.  421
  • Figure 63. Archer-EPFL spin-resonance circuit.   445
  • Figure 64.  IBM Q System One quantum computer.         493
  • Figure 65. ColdQuanta Quantum Core (left), Physics Station (middle) and the atoms control chip (right).    498
  • Figure 66.  Intel Tunnel Falls 12-qubit chip.         499
  • Figure 67. IonQ's ion trap           500
  • Figure 68. 20-qubit quantum computer.   502
  • Figure 69. Maybell Big Fridge.    514
  • Figure 70. PsiQuantum’s modularized quantum computing system networks.        553
  • Figure 71. Quantum Brilliance device      592
  • Figure 72. The Ez-Q Engine 2.0 superconducting quantum measurement and control system.      596
  • Figure 73. Conceptual illustration (left) and physical mockup (right, at OIST) of Qubitcore’s distributed ion-trap quantum computer, visualizing quantum entanglement via optical fiber links between traps. 611
  • Figure 74. Quobly's processor.   615
  • Figure 75. SemiQ first chip prototype.     636
  • Figure 76. SpinMagIC quantum sensor.  643
  • Figure 77. Toshiba QKD Development Timeline.  652
  • Figure 78. Toshiba Quantum Key Distribution technology. 653

 

 

 

 

 

 

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