
cover
- Published: July 2025
- Pages: 353
- Tables: 88
- Figures: 65
The quantum computing market has reached an unprecedented inflection point in 2025, characterized by accelerating technological breakthroughs, massive investment inflows, and the emergence of practical quantum applications across multiple industries. Building on the remarkable momentum from 2024, when global quantum investments surpassed $1 billion for the first time, the sector continues to attract record-breaking funding while demonstrating tangible progress toward commercial viability. The quantum computing ecosystem has evolved into a sophisticated, multi-layered market encompassing hardware platforms, software development tools, cloud services, and industry-specific applications. Multiple quantum technologies compete and complement each other, including superconducting qubits, trapped ion systems, photonic quantum computers, and emerging silicon spin qubits. This technological diversity reduces the risk of betting on a single approach while accelerating innovation across multiple pathways.
2025 has witnessed extraordinary investment momentum. Q1 funding included:
- SandboxAQ secured a $150 million add-on funding round in April 2025, building on their massive $300 million raise in December 2024.
- Quantum Machines raised $170 million, reflecting strong investor confidence in quantum control systems and infrastructure.
- IQM Quantum Computers secured $73 million (€68 million).
The second quarter of 2025 witnessed further significant market activity, culminating in IonQ's groundbreaking $1.08 billion acquisition of Oxford Ionics, representing the largest transaction in quantum computing history. This mega-deal signals a fundamental shift toward consolidation and strategic technology integration within the quantum sector, while highlighting the critical importance of advanced control technologies for quantum scalability. Several key trends have emerged throughout 2025's funding activity. Average round sizes have increased substantially, with major transactions regularly exceeding $50 million, indicating growing investor confidence in quantum computing's commercial viability. Corporate strategic investors, particularly major technology companies like Google, Nvidia, Intel, and Microsoft, are making increasingly significant investments, recognizing quantum computing's strategic importance for long-term competitive positioning..The investment surge follows significant technical breakthroughs in 2024, including Google's Willow chip demonstration and major advances in quantum error correction. These achievements have accelerated investor confidence in the sector's commercial potential, particularly as quantum computing hardware approaches fault tolerance and practical applications become increasingly achievable.
The quantum computing market is positioned for continued explosive growth, driven by the convergence of technological advancement, substantial investment capital, and emerging practical applications across industries including financial services, pharmaceuticals, materials science, and artificial intelligence. The strong investment activity in early 2025, combined with continued technological progress and expanding industry adoption, suggests that quantum computing is transitioning from a purely research-focused field to a commercially viable technology sector poised for mainstream deployment over the next decade.
The Global Quantum Computing Market 2026-2046 represents the most comprehensive analysis of the rapidly evolving quantum computing ecosystem, providing critical insights into market dynamics, technological developments, investment trends, and future growth opportunities. This authoritative report delivers essential intelligence for stakeholders, investors, technology leaders, and policy makers navigating the quantum revolution.
This extensive market intelligence report examines the quantum computing landscape across multiple dimensions, analyzing hardware technologies including superconducting qubits, trapped ion systems, silicon spin qubits, photonic quantum computers, neutral atom platforms, topological qubits, and quantum annealers. The report provides detailed market forecasts extending to 2046, covering revenue projections, installed base growth, pricing trends, and technology adoption patterns across global markets. With quantum computing transitioning from research laboratories to commercial applications, this analysis identifies key inflection points, market opportunities, and strategic positioning requirements for market participants. The report thoroughly examines the quantum software ecosystem, including development platforms, quantum algorithms, machine learning applications, optimization solutions, and cryptography implementations. Critical infrastructure requirements, including cryogenic systems, control electronics, and quantum-classical hybrid architectures, receive comprehensive coverage. Regional market dynamics, government initiatives, and national quantum strategies are analyzed across North America, Europe, Asia-Pacific, and emerging markets, providing global perspective on quantum computing development.
Report contents include:
- Comprehensive quantum computing market sizing and forecasts (2026-2046) with detailed revenue projections by technology, application, and geography
- Installed base forecasting by quantum technology platform including superconducting, trapped ion, silicon spin, photonic, neutral atom, and topological systems
- Pricing analysis and trends across different quantum computing system categories and deployment models
- Hardware revenue forecasting by technology platform and system type with detailed market segmentation
- Data center deployment analysis comparing quantum computer adoption to global data center infrastructure growth
- Technology Landscape and Competitive Intelligence:
- Deep-dive analysis of quantum hardware technologies including technical specifications, performance benchmarks, and commercial readiness levels
- Comprehensive market player profiles across hardware, software, applications, and infrastructure segments
- Quantum software stack analysis covering development platforms, algorithms, applications, and cloud services
- Infrastructure requirements assessment including cryogenic systems, control electronics, and specialized components
- Materials analysis for quantum computing including superconductors, photonics, and nanomaterials
- Industry Applications and Use Cases:
- Sector-specific quantum computing applications in pharmaceuticals, chemicals, transportation, financial services, and automotive industries
- Market opportunity assessment across drug discovery, molecular simulation, optimization, cryptography, and artificial intelligence
- Crossover technologies including quantum communications, quantum sensing, and quantum-AI convergence
- Commercial applications analysis with total addressable market (TAM) calculations for key vertical markets
- Case studies and implementation roadmaps for enterprise quantum adoption
- Investment Landscape and Strategic Analysis:
- Detailed funding analysis covering venture capital, corporate investment, government funding, and M&A activity (2024-2025)
- Strategic partnership analysis and business model evolution in the quantum ecosystem
- Government initiatives and national quantum strategies with funding commitments and policy implications
- Investment trends analysis including geographic distribution, sector focus, and funding stage dynamics
- Market challenges assessment including technical barriers, commercialization hurdles, and adoption constraints
- Future Outlook:
- SWOT analysis for quantum computing market development with strategic recommendations
- Commercial readiness roadmaps by technology platform with timeline projections to 2046
- Quantum computing value chain analysis identifying key stakeholders and value capture opportunities
- Risk assessment and mitigation strategies for quantum technology investment and adoption
- Emerging trends analysis including quantum-AI convergence, hybrid computing architectures, and next-generation applications
This comprehensive report features detailed profiles of 217 companies shaping the quantum computing ecosystem, providing essential intelligence on market leaders, emerging players, and innovative startups across the quantum value chain. The profiled companies include A* Quantum, AbaQus, Aegiq, Agnostiq, Algorithmiq Oy, Airbus, Alpine Quantum Technologies GmbH (AQT), Alice&Bob, Aliro Quantum, Anyon Systems Inc., Archer Materials, Arclight Quantum, Arctic Instruments, ARQUE Systems GmbH, Atlantic Quantum, Atom Computing, Atom Quantum Labs, Atos Quantum, Baidu Inc., BEIT, Bifrost Electronics, BlueFors, BlueQubit, Bohr Quantum Technology, BosonQ Ps, C12 Quantum Electronics, Cambridge Quantum Computing (CQC), CAS Cold Atom, CEW Systems Canada Inc., ColibriTD, Classiq Technologies, Commutator Studios GmbH, Crystal Quantum Computing, D-Wave Systems, Diatope GmbH, Dirac, Diraq, Delft Circuits, Duality Quantum Photonics, EeroQ, eleQtron, Elyah, Entropica Labs, Ephos, Equal1, EvolutionQ, First Quantum Inc., Fujitsu, Good Chemistry, Google Quantum AI, Groove Quantum, g2-Zero, Haiqu, Hefei Wanzheng Quantum Technology Co. Ltd., High Q Technologies Inc., Horizon Quantum Computing, HQS Quantum Simulations, HRL, Huayi Quantum, IBM, Iceberg Quantum, Icosa Computing, ID Quantique, InfinityQ, Infineon Technologies AG, Infleqtion, Intel, IonQ, IQM Quantum Computers, JiJ, JoS QUANTUM GmbH, KETS Quantum Security, Kipu Quantum, Kiutra GmbH, Kuano Limited, Kvantify, Ligentec, LQUOM, Lux Quanta, Maybell Quantum Industries, Menlo Systems GmbH, Menten AI, Microsoft, Miraex, Molecular Quantum Solutions, Montana Instruments, Multiverse Computing, Nanofiber Quantum Technologies, NEC Corporation, Next Generation Quantum, neQxt GmbH, Nomad Atomics, Nord Quantique, Norma, NTT, Nu Quantum, 1Qbit, ORCA Computing, Orange Quantum Systems, Origin Quantum Computing Technology, Oxford Ionics, Oxford Quantum Circuits (OQC), ParityQC, Pasqal, Peptone, Phasecraft, Photonic Inc., Pixel Photonics, Planqc GmbH, Polaris Quantum Biotech (POLARISqb), Post Quantum, PQShield, ProteinQure, PsiQuantum, Q* Bird, QBoson, Qblox, qBraid, Q-CTRL, QC Design, QC Ware, QC82, QEDMA, Qilimanjaro Quantum Tech, Qindom, QMware, QMill, Qnami, QNu Labs, Qolab, QPerfect and more......
1 EXECUTIVE SUMMARY 19
- 1.1 First and Second quantum revolutions 19
- 1.2 Current quantum computing market landscape 21
- 1.2.1 Technical Progress and Persistent Challenges 22
- 1.2.2 Key developments 22
- 1.3 Investment Landscape 24
- 1.3.1 Quantum Technologies Investments 2024-2025 25
- 1.4 Global Government Initiatives 31
- 1.5 Market Landscape 34
- 1.6 Recent Quantum Computing Industry Developments 2023-2025 38
- 1.7 End Use Markets and Benefits of Quantum Computing 44
- 1.8 Business Models 45
- 1.9 Roadmap 47
- 1.10 Challenges for Quantum Technologies Adoption 47
- 1.11 SWOT analysis 50
- 1.12 Quantum Computing Value Chain 51
- 1.13 Quantum Computing and Artificial Intelligence 51
- 1.14 Global market forecast 2025-2046 52
- 1.14.1 Revenues 53
- 1.14.2 Installed Base Forecast 55
- 1.14.2.1 By system 55
- 1.14.2.2 By technology 56
- 1.14.3 Pricing 57
- 1.14.4 Hardware 58
- 1.14.4.1 By system 59
- 1.14.4.2 By technology 59
- 1.14.5 Quantum Computing in Data centres 61
2 INTRODUCTION 62
- 2.1 What is quantum computing? 63
- 2.2 Operating principle 64
- 2.3 Classical vs quantum computing 66
- 2.4 Quantum computing technology 68
- 2.4.1 Quantum emulators 70
- 2.4.2 Quantum inspired computing 71
- 2.4.3 Quantum annealing computers 71
- 2.4.4 Quantum simulators 71
- 2.4.5 Digital quantum computers 71
- 2.4.6 Continuous variables quantum computers 71
- 2.4.7 Measurement Based Quantum Computing (MBQC) 72
- 2.4.8 Topological quantum computing 72
- 2.4.9 Quantum Accelerator 72
- 2.5 Competition from other technologies 72
- 2.6 Market Overview 75
- 2.6.1 Investment in Quantum Computing 76
- 2.6.2 Business Models 77
- 2.6.2.1 Quantum as a Service (QaaS) 77
- 2.6.2.2 Strategic partnerships 78
- 2.6.2.3 Vertically integrated and modular 78
- 2.6.2.4 Mixed quantum stacks 79
- 2.6.3 Semiconductor Manufacturers 79
3 QUANTUM ALGORITHMS 81
- 3.1 Quantum Software Stack 81
- 3.1.1 Quantum Machine Learning 82
- 3.1.2 Quantum Simulation 82
- 3.1.3 Quantum Optimization 83
- 3.1.4 Quantum Cryptography 83
- 3.1.4.1 Quantum Key Distribution (QKD) 84
- 3.1.4.2 Post-Quantum Cryptography 84
4 QUANTUM COMPUTING HARDWARE 86
- 4.1 Qubit Technologies 87
- 4.1.1 Overview 87
- 4.1.2 Noise effects 88
- 4.1.3 Logical qubits 89
- 4.1.4 Quantum Volume 90
- 4.1.5 Algorithmic Qubits 90
- 4.1.6 Superconducting Qubits 91
- 4.1.6.1 Technology description 91
- 4.1.6.2 Initialization, Manipulation, and Readout 92
- 4.1.6.3 Materials 94
- 4.1.6.4 Market players 96
- 4.1.6.5 Roadmap 99
- 4.1.6.6 Swot analysis 99
- 4.1.7 Trapped Ion Qubits 100
- 4.1.7.1 Technology description 100
- 4.1.7.2 Initialization, Manipulation, and Readout 101
- 4.1.7.3 Hardware 102
- 4.1.7.4 Materials 103
- 4.1.7.4.1 Integrating optical components 104
- 4.1.7.4.2 Incorporating high-quality mirrors and optical cavities 105
- 4.1.7.4.3 Engineering the vacuum packaging and encapsulation 105
- 4.1.7.4.4 Removal of waste heat 105
- 4.1.7.5 Roadmap 106
- 4.1.7.6 Market players 106
- 4.1.7.7 Swot analysis 107
- 4.1.8 Silicon Spin Qubits 108
- 4.1.8.1 Technology description 108
- 4.1.8.2 Initialization, Manipulation, and Readout 109
- 4.1.8.3 Integration with CMOS Electronics 110
- 4.1.8.4 Quantum dots 111
- 4.1.8.5 Market players 114
- 4.1.8.6 SWOT analysis 114
- 4.1.9 Topological Qubits 115
- 4.1.9.1 Technology description 115
- 4.1.9.1.1 Cryogenic cooling 116
- 4.1.9.2 Initialization, Manipulation, and Readout of Topological Qubits 117
- 4.1.9.3 Scaling topological qubit arrays 118
- 4.1.9.4 Roadmap 118
- 4.1.9.5 Market players 119
- 4.1.9.6 SWOT analysis 120
- 4.1.9.1 Technology description 115
- 4.1.10 Photonic Qubits 120
- 4.1.10.1 Photonics for Quantum Computing 120
- 4.1.10.2 Technology description 121
- 4.1.10.3 Initialization, Manipulation, and Readout 124
- 4.1.10.4 Hardware Architecture 125
- 4.1.10.5 Roadmap 125
- 4.1.10.6 Market players 125
- 4.1.10.7 Swot analysis 127
- 4.1.11 Neutral atom (cold atom) qubits 128
- 4.1.11.1 Technology description 128
- 4.1.11.2 Market players 130
- 4.1.11.3 Swot analysis 131
- 4.1.12 Diamond-defect qubits 132
- 4.1.12.1 Technology description 132
- 4.1.12.2 SWOT analysis 135
- 4.1.12.3 Market players 136
- 4.1.13 Quantum annealers 137
- 4.1.13.1 Technology description 137
- 4.1.13.2 Initialization and Readout of Quantum Annealers 138
- 4.1.13.3 Solving combinatorial optimization 140
- 4.1.13.4 Applications 141
- 4.1.13.5 Roadmap 142
- 4.1.13.6 SWOT analysis 142
- 4.1.13.7 Market players 143
- 4.2 Architectural Approaches 144
5 QUANTUM COMPUTING INFRASTRUCTURE 145
- 5.1 Infrastructure Requirements 145
- 5.2 Hardware agnostic platforms 145
- 5.3 Cryostats 146
- 5.4 Qubit readout 147
6 QUANTUM COMPUTING SOFTWARE 148
- 6.1 Technology description 148
- 6.2 Cloud-based services- QCaaS (Quantum Computing as a Service). 148
- 6.3 Market players 149
7 MARKETS AND APPLICATIONS 153
- 7.1 Pharmaceuticals 154
- 7.1.1 Market overview 154
- 7.1.1.1 Drug discovery 154
- 7.1.1.2 Diagnostics 154
- 7.1.1.3 Molecular simulations 155
- 7.1.1.4 Genomics 155
- 7.1.1.5 Proteins and RNA folding 155
- 7.1.2 Market players 156
- 7.1.1 Market overview 154
- 7.2 Chemicals 157
- 7.2.1 Market overview 157
- 7.2.2 Market players 157
- 7.3 Transportation 158
- 7.3.1 Market overview 158
- 7.3.2 Market players 160
- 7.4 Financial services 161
- 7.4.1 Market overview 161
- 7.4.2 Market players 162
- 7.5 Automotive 163
- 7.5.1 Market overview 163
- 7.5.2 Market players 164
8 OTHER CROSSOVER TECHNOLOGIES 166
- 8.1 Quantum chemistry and AI 166
- 8.1.1 Technology description 166
- 8.1.2 Applications 166
- 8.1.3 Market players 167
- 8.2 Quantum Communications 167
- 8.2.1 Technology description 167
- 8.2.2 Types 168
- 8.2.3 Applications 168
- 8.2.4 Market players 169
- 8.3 Quantum Sensors 171
- 8.3.1 Technology description 171
- 8.3.2 Applications 173
- 8.3.3 Companies 173
9 QUANTUM COMPUTING AND AI 178
- 9.1 Introduction 178
- 9.2 Applications 178
- 9.3 AI Interfacing with Quantum Computing 179
- 9.4 AI in Classical Computing 180
- 9.5 Market Players and Strategies 181
- 9.6 Relationship between quantum computing and artificial intelligence 182
10 MATERIALS FOR QUANTUM COMPUTING 183
- 10.1 Superconductors 183
- 10.1.1 Overview 183
- 10.1.2 Types and Properties 184
- 10.1.3 Temperature (Tc) of superconducting materials 185
- 10.1.4 Superconducting Nanowire Single Photon Detectors (SNSPD) 185
- 10.1.5 Kinetic Inductance Detectors (KIDs) 186
- 10.1.6 Transition Edge Sensors (TES) 187
- 10.1.7 Opportunities 188
- 10.2 Photonics, Silicon Photonics and Optical Components 188
- 10.2.1 Overview 188
- 10.2.2 Types and Properties 189
- 10.2.3 Vertical-Cavity Surface-Emitting Lasers (VCSELs) 189
- 10.2.4 Alkali azides 190
- 10.2.5 Optical Fiber and Quantum Interconnects 190
- 10.2.6 Semiconductor Single Photon Detectors 190
- 10.2.7 Opportunities 191
- 10.3 Nanomaterials 192
- 10.3.1 Overview 192
- 10.3.2 Types and Properties 192
- 10.3.2.1 2D Materials 193
- 10.3.2.2 Transition metal dichalcogenide quantum dots 193
- 10.3.2.3 Graphene Membranes 193
- 10.3.2.4 2.5D materials 194
- 10.3.2.5 Carbon nanotubes 194
- 10.3.2.5.1 Single Walled Carbon Nanotubes 194
- 10.3.2.5.2 Boron Nitride Nanotubes 194
- 10.3.2.6 Diamond 195
- 10.3.2.7 Metal-Organic Frameworks (MOFs) 196
- 10.3.3 Opportunities 196
11 MARKET ANALYSIS 198
- 11.1 Key industry players 198
- 11.1.1 Start-ups 198
- 11.1.2 Tech Giants 199
- 11.1.3 National Initiatives 199
- 11.2 Investment funding 199
- 11.2.1 Venture Capital 201
- 11.2.2 M&A 202
- 11.2.3 Corporate Investment 202
- 11.2.4 Government Funding 202
12 COMPANY PROFILES 205 (217 company profiles)
13 RESEARCH METHODOLOGY 345
14 TERMS AND DEFINITIONS 346
15 REFERENCES 349
List of Tables
- Table 1. First and second quantum revolutions. 19
- Table 2. Applications for Quantum Computing. 20
- Table 3. Quantum Computing Business Models. 21
- Table 4. Quantum Computing Investments 2024-2025. 25
- Table 5. Global government initiatives in quantum technologies. 32
- Table 6. Quantum computing industry developments 2023-2025. 38
- Table 7. End Use Markets and Benefits of Quantum Computing 44
- Table 8. Business Models in Quantum Computing. 46
- Table 9. Market challenges in quantum computing. 48
- Table 10. Quantum computing value chain. 51
- Table 11. Global market for quantum computing-by category, 2023-2046 (billions USD). 53
- Table 12. Global Revenue from Quantum Computing Hardware (Billions USD). 54
- Table 13. Quantum Computer Installed Base Forecast (2025-2046)-Units. 55
- Table 14. Forecast for Installed Base of Quantum Computers by Technology, 2025-2046-Units. 56
- Table 15. Quantum Computer Pricing Forecast (Millions USD) by system type. 58
- Table 16. Forecast for Quantum Computer Pricing 2026-2046 by system category. 58
- Table 17. Forecast for Annual Revenue from Quantum Computer Hardware Sales, 2025-2046 (billions USD). 59
- Table 18. Forecast for Annual Revenue from Quantum Computing Hardware Sales (by Technology), 2025-2046. 60
- Table 19. Install Base of Quantum Computers vs Global Number of Data Centres to 2046. 61
- Table 20. Forecast for Volume of Quantum Computers Deployed in Data Centres, 2025-2046 61
- Table 21. Quantum Computing Approaches. 63
- Table 22. Quantum Computer Architectures. 64
- Table 23. Applications for quantum computing 65
- Table 24. Comparison of classical versus quantum computing. 67
- Table 25. Key quantum mechanical phenomena utilized in quantum computing. 67
- Table 26. Types of quantum computers. 68
- Table 27.Comparison of Quantum Computer Technologies. 69
- Table 28. Comparative analysis of quantum computing with classical computing, quantum-inspired computing, and neuromorphic computing. 73
- Table 29. Different computing paradigms beyond conventional CMOS. 74
- Table 30. Applications of quantum algorithms. 81
- Table 31. QML approaches. 82
- Table 32. Commercial Readiness Level by Technology. 87
- Table 33. Qubit Performance Benchmarking. 88
- Table 34. Coherence times for different qubit implementations. 88
- Table 35. Quantum Computer Benchmarking Metrics. 89
- Table 36. Logical Qubit Progress. 89
- Table 37. Superconducting Materials Properties. 94
- Table 38. Superconducting qubit market players. 98
- Table 39. Initialization, manipulation and readout for trapped ion quantum computers. 102
- Table 40. Ion trap market players. 107
- Table 41. Initialization, manipulation, and readout methods for silicon-spin qubits. 112
- Table 42. Silicon spin qubits market players. 114
- Table 43. Initialization, manipulation and readout of topological qubits. 116
- Table 44. Topological qubits market players. 119
- Table 45. Pros and cons of photon qubits. 122
- Table 46. Comparison of photon polarization and squeezed states. 122
- Table 47. Initialization, manipulation and readout of photonic platform quantum computers. 123
- Table 48. Photonic qubit market players. 126
- Table 49. Initialization, manipulation and readout for neutral-atom quantum computers. 129
- Table 50. Pros and cons of cold atoms quantum computers and simulators 130
- Table 51. Neural atom qubit market players. 131
- Table 52. Initialization, manipulation and readout of Diamond-Defect Spin-Based Computing. 133
- Table 53. Key materials for developing diamond-defect spin-based quantum computers. 134
- Table 54. Diamond-defect qubits market players. 137
- Table 55. Commercial Applications for Quantum Annealing. 138
- Table 56. Pros and cons of quantum annealers. 139
- Table 57. Quantum annealers market players. 143
- Table 58. Quantum Computing Infrastructure Requirements. 145
- Table 59. Modular vs. Single Core. 146
- Table 60. Quantum computing software market players. 149
- Table 61. Markets and applications for quantum computing. 153
- Table 62. Total Addressable Market (TAM) for Quantum Computing. 153
- Table 63. Market players in quantum technologies for pharmaceuticals. 156
- Table 64. Market players in quantum computing for chemicals. 157
- Table 65. Automotive applications of quantum computing, 158
- Table 66. Market players in quantum computing for transportation. 160
- Table 67. Quantum Computing in Finance. 162
- Table 68. Market players in quantum computing for financial services 162
- Table 69. Automotive Applications of Quantum Computing. 163
- Table 70. Applications in quantum chemistry and artificial intelligence (AI). 166
- Table 71. Market players in quantum chemistry and AI. 167
- Table 72. Main types of quantum communications. 168
- Table 73. Applications in quantum communications. 168
- Table 74. Market players in quantum communications. 169
- Table 75. Comparison between classical and quantum sensors. 172
- Table 76. Applications in quantum sensors. 173
- Table 77. Companies developing high-precision quantum time measurement 173
- Table 78. Materials in Quantum Technology. 183
- Table 79. Superconductor Value Chain in Quantum Technology. 184
- Table 80. Superconductors in quantum technology. 184
- Table 81. SNSPD Players companies. 186
- Table 82. Single Photon Detector Technology Comparison. 187
- Table 83. Photonics, silicon photonics and optics in quantum technology. 189
- Table 84. Materials for Quantum Photonic Applications. 191
- Table 85. Nanomaterials in quantum technology. 192
- Table 86. Synthetic Diamond Value Chain for Quantum Technology. 195
- Table 87. Quantum technologies investment funding. 200
- Table 88. Top funded quantum technology companies. 201
List of Figures
- Figure 1. Quantum computing development timeline. 21
- Figure 2. National quantum initiatives and funding 2015-2023. 31
- Figure 3. Quantum Computing Market Map. 37
- Figure 4. Roadmap for Quantum Commercial Readiness Level (QCRL) Over Time. 47
- Figure 5. SWOT analysis for quantum computing. 50
- Figure 6. Global market for quantum computing-Hardware, Software & Services, 2023-2046 (billions USD). 54
- Figure 7. Global Revenue from Quantum Computing Hardware (Billions USD). 55
- Figure 8. Quantum Computer Installed Base Forecast (2025-2046)-Units. 56
- Figure 9. Forecast for Installed Base of Quantum Computers by Technology, 2025-2046-Units. 57
- Figure 10. Forecast for Annual Revenue from Quantum Computer Hardware Sales, 2025-2046 (billions USD). 59
- Figure 11. Forecast for Annual Revenue from Quantum Computing Hardware Sales (by Technology), 2025-2046. 60
- Figure 12. An early design of an IBM 7-qubit chip based on superconducting technology. 65
- Figure 13. Various 2D to 3D chips integration techniques into chiplets. 66
- Figure 14. IBM Q System One quantum computer. 70
- Figure 15. Unconventional computing approaches. 74
- Figure 16. 53-qubit Sycamore processor. 83
- Figure 17. Interior of IBM quantum computing system. The quantum chip is located in the small dark square at center bottom. 86
- Figure 18. Superconducting quantum computer. 92
- Figure 19. Superconducting quantum computer schematic. 93
- Figure 20. Components and materials used in a superconducting qubit. 94
- Figure 21. Superconducting Hardware Roadmap. 97
- Figure 22. Superconducting Quantum Hardware Roadmap. 99
- Figure 23. SWOT analysis for superconducting quantum computers:. 100
- Figure 24. Ion-trap quantum computer. 100
- Figure 25. Various ways to trap ions 101
- Figure 26. Trapped-Ion Hardware Roadmap. 103
- Figure 27. Universal Quantum’s shuttling ion architecture in their Penning traps. 103
- Figure 28. Trapped-Ion Quantum Computing Hardware Roadmap. 106
- Figure 29. SWOT analysis for trapped-ion quantum computing. 108
- Figure 30. CMOS silicon spin qubit. 109
- Figure 31. Silicon quantum dot qubits. 112
- Figure 32. Silicon-Spin Hardware Roadmap. 113
- Figure 33. SWOT analysis for silicon spin quantum computers. 115
- Figure 34. Topological Quantum Computing Roadmap. 117
- Figure 35. Topological Quantum Computing Hardware Roadmap. 119
- Figure 36. SWOT analysis for topological qubits 120
- Figure 37. Photonic Quantum Hardware Roadmap. 125
- Figure 38 . SWOT analysis for photonic quantum computers. 127
- Figure 39. Neutral atoms (green dots) arranged in various configurations. 128
- Figure 40. Neutral Atom Hardware Roadmap. 130
- Figure 41. SWOT analysis for neutral-atom quantum computers. 132
- Figure 42. NV center components. 133
- Figure 43. Diamond Defect Supply Chain. 135
- Figure 44. Diamond Defect Hardware Roadmap. 135
- Figure 45. SWOT analysis for diamond-defect quantum computers. 136
- Figure 46. D-Wave quantum annealer. 140
- Figure 47. Roadmap for Quantum Annealing Hardware. 142
- Figure 48. SWOT analysis for quantum annealers. 143
- Figure 49. Quantum software development platforms. 148
- Figure 50. Tech Giants quantum technologies activities. 199
- Figure 51. Quantum Technology investment by sector, 2023. 200
- Figure 52. Quantum computing public and industry funding to mid-2023, millions USD. 203
- Figure 53. Archer-EPFL spin-resonance circuit. 212
- Figure 54. IBM Q System One quantum computer. 240
- Figure 55. ColdQuanta Quantum Core (left), Physics Station (middle) and the atoms control chip (right). 244
- Figure 56. Intel Tunnel Falls 12-qubit chip. 245
- Figure 57. IonQ's ion trap 246
- Figure 58. IonQ product portfolio. 247
- Figure 59. 20-qubit quantum computer. 248
- Figure 60. Maybell Big Fridge. 255
- Figure 61. PsiQuantum’s modularized quantum computing system networks. 278
- Figure 62. 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. 297
- Figure 63. SemiQ first chip prototype. 325
- Figure 64. Toshiba QKD Development Timeline. 335
- Figure 65. Toshiba Quantum Key Distribution technology. 336
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