The Global Quantum Technology Market
完整報告名稱與涵蓋範圍
The Global Quantum Technology Market 2026–2046: Computing, Sensors, Communications & Software
報告摘要
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
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目錄 Table of Contents
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
圖表清單 List of Tables & Figures
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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