The Global Quantum 2.0 Market
報告摘要
The term "Quantum 2.0" denotes the second quantum revolution — a transformation from passively exploiting quantum effects (as in lasers and semiconductors) to actively engineering, controlling, and measuring individual quantum systems. Where the first quantum revolution gave the world transistors and MRI machines, the second harnesses phenomena such as superposition, entanglement, quantum coherence, and quantum tunnelling as deliberate engineering tools, enabling a new generation of technologies with capabilities that are fundamentally unreachable by any classical means.
The Quantum 2.0 market encompasses five primary technology pillars. Quantum computing encodes information in qubits that can exist in superpositions of 0 and 1 simultaneously, enabling exponential parallelism for optimisation, simulation, and machine learning problems intractable to the fastest classical supercomputers. Hardware platforms currently in commercial development include superconducting, trapped ion, silicon spin, photonic, neutral atom, and topological qubit architectures, each with distinct fidelity, coherence, and scalability trade-offs. Quantum communications — spanning quantum key distribution, quantum random number generation, and post-quantum cryptography — exploits entanglement and the no-cloning theorem to deliver provably secure cryptographic protocols. Quantum sensing produces precision instruments — atomic clocks, gravimeters, magnetometers, gyroscopes, and RF field sensors — whose sensitivity surpasses classical limits by harnessing squeezed states and quantum interference. Quantum simulation uses controllable quantum systems to model molecular and materials dynamics that overwhelm classical computers, with high-value applications in pharmaceutical drug discovery, materials science, and catalyst design. Quantum machine learning combines quantum algorithms with classical neural networks to identify quantum advantages in optimisation and pattern recognition.
Commercially, 2025 proved the decisive inflection point. Full-year quantum financings approached $10 billion globally — more than five times the 2023 trough — with fifteen companies each raising over $100 million. Cumulative global investment from 2012 through early 2026 exceeded $60 billion, with government commitments representing roughly half. North America holds approximately 47% of global investment share, followed by Asia-Pacific at 29% and Europe at 15–16%. National quantum strategies — from the US National Quantum Initiative and the EU Quantum Flagship to programmes in China, the UK, Germany, France, Australia, and India — reflect a strategic global race that spans both civilian commerce and national security.
The Global Quantum 2.0 Market 2026–2036, published by Future Markets, Inc. is the most comprehensive commercial intelligence report available on the second quantum revolution. At 608 pages and spanning 17 chapters, 185 data tables, and company profiles of more than 320 organisations, it constitutes an authoritative reference for investors, technology developers, corporate strategists, and government policymakers navigating the rapidly expanding quantum technology landscape.
The report opens with an exceptionally detailed Executive Summary that documents the historic investment surge of 2025 — a year in which total global quantum financings approached $10 billion, more than double any prior year. It traces cumulative investment trajectories from 2012 through early 2026 (exceeding $60 billion globally), maps the investment landscape by technology segment, company, application, and region, and provides a granular account of the most significant deals, acquisitions, and government commitments of the 2024–2025 period. Key milestones documented include IonQ's $1.075 billion acquisition of Oxford Ionics, PsiQuantum's $1 billion Series E led by BlackRock and Temasek, Quantinuum's $600 million raise at a $10 billion valuation, and Microsoft's unveiling of its Majorana 1 topological qubit chip. The Executive Summary also presents a high-level Quantum 2.0 Market Map, SWOT analysis, value chain overview, and consolidated market forecasts to 2036.
The main body of the report provides deep technical and commercial analysis across all six Quantum 2.0 technology domains. The quantum computing chapter covers all major qubit hardware architectures — superconducting, trapped ion, silicon spin, topological, photonic, neutral atom, and diamond-defect qubits — with technology descriptions, materials analysis, hardware roadmaps, SWOT analyses, market player profiles, and competitive benchmarking against classical, quantum-inspired, and neuromorphic computing approaches. It also addresses quantum software, cloud-based quantum computing as a service (QCaaS), error correction and fault tolerance, quantum data centres, and end-use applications across pharmaceuticals, chemicals, transportation, and financial services. A dedicated chapter on Quantum Chemistry and Artificial Intelligence examines the convergence of quantum simulation with AI-driven materials discovery and drug design.
Quantum machine learning and quantum simulation each receive standalone chapters covering their technical foundations, algorithmic approaches, phase evolution, application landscapes, and market forecasts to 2036. The quantum communications chapter is particularly extensive, addressing quantum random number generation (QRNG), quantum key distribution (QKD) across fibre, free-space, and satellite modalities, post-quantum cryptography following the NIST 2024 standardisation outcomes, quantum networks and the quantum internet, quantum teleportation, and quantum memory. Quantum sensing covers the full spectrum of sensor types including atomic clocks, magnetometers, gravimeters, gyroscopes, image sensors, quantum radar, quantum RF sensors, and quantum NEMS/MEMS, with per-sensor forecasts by volume, price band, and end-use industry. Quantum batteries — an emerging segment covering quantum-coherence-enhanced energy storage — are also comprehensively examined.
The materials chapter addresses superconductors, silicon photonics, photonic integrated circuits, nanomaterials, and artificial diamond as enabling material platforms, with supply chain analysis and materials market forecasts. A regional analysis chapter covers North America, Europe (including the EU, UK, Germany, France, and Netherlands individually), Asia-Pacific (China, Japan, South Korea, Australia, Singapore), and the rest of the world. The global market analysis chapter consolidates revenue forecasts across all segments from 2018 to 2046. The report concludes with an extensive company profiles chapter and a comprehensive references section.
Throughout, the report maintains strict methodological rigour, drawing on primary interviews with manufacturers and end users, supplemented by secondary research. Its market forecasts are independently derived and segmented by technology type, end-use industry, and geography, providing a multi-dimensional view of commercial opportunity across the entire Quantum 2.0 value chain.
Report Contents include:
Executive Summary — 2025 investment surge analysis; $10 billion in quantum financings; Technology Readiness Level (TRL) assessment; market map, SWOT, value chain, and consolidated 2026–2036 forecast
Introduction to Quantum 2.0 Technologies — First and second quantum revolutions; quantum mechanics principles (superposition, entanglement, coherence, tunnelling); enabling technologies and standards development
Quantum Computing — All qubit hardware platforms (superconducting, trapped ion, silicon spin, topological, photonic, neutral atom, diamond-defect, quantum annealers); benchmarking metrics; quantum volume; algorithms; software stack; QCaaS; error correction; fault tolerance; data centres; end-use applications in pharma, chemicals, transportation, and financial services; market forecasts
Quantum Chemistry & Artificial Intelligence — Technology description; applications; SWOT; market challenges; market players; opportunity analysis; technology roadmap
Quantum Machine Learning — Classical vs quantum ML paradigms; QML phases (NISQ-era and fault-tolerant); quantum neural networks; variational quantum classifiers; quantum kernel methods; advantages; challenges; applications; market forecasts 2026–2036
Quantum Simulation — Analog vs digital simulation; platforms (neutral atom, trapped ion, superconducting, photonic); applications (molecular simulation, materials discovery, high-energy physics, condensed matter, drug discovery); market forecasts 2026–2036
Quantum Communications — QRNG (technology, entropy sources, standards, applications); QKD (fibre, free-space, satellite, MDI-QKD, DV/CV protocols); post-quantum cryptography (NIST standards, migration implications); quantum networks; quantum teleportation; quantum memory; quantum internet; global deployments by region; market forecasts
Quantum Sensors — Atomic clocks; quantum magnetometers (SQUIDs, OPMs, TMR sensors, NV centres); quantum gravimeters; quantum gyroscopes; quantum image sensors; quantum radar; quantum chemical sensors; quantum RF sensors (Rydberg-atom and NV-centre); quantum NEMS/MEMS; market forecasts by sensor type, volume, price band, and end-use industry; technology roadmap
Quantum Batteries — Technology description; types; applications; SWOT; market challenges; market players; opportunity analysis; technology roadmap
End-Use Markets & Applications — Pharmaceuticals & drug discovery; financial services (portfolio optimisation, risk assessment, algorithmic trading, fraud detection); aerospace & defence; energy & utilities; healthcare & medical; telecommunications; government & public sector
Materials for Quantum Technologies — Superconductors (types, properties, critical temperatures, supply chain, SQUIDs, SNSPDs); photonics, silicon photonics, and PICs; nanomaterials; artificial diamond; materials market forecasts
Regional Market Analysis — North America (US, Canada); Europe (EU, UK, Germany, France, Netherlands); Asia-Pacific (China, Japan, South Korea, Australia, Singapore); Rest of World; government initiatives comparison
Global Market Analysis — Market map; key industry players (start-ups, tech giants, national initiatives); global market revenues 2018–2046 across all segments; consolidated Quantum 2.0 total forecast
Company Profiles — 320+ companies across all Quantum 2.0 domains
Research Methodology, Terms & Definitions, References
The report profiles more than 320 companies spanning all Quantum 2.0 technology segments, including hardware manufacturers, software developers, communications specialists, sensing companies, materials suppliers, and quantum-enabled application providers. Companies profiled include 1QBit, A* Quantum, AbaQus, Absolut System, Adaptive Finance Technologies, Aegiq, Agnostiq GmbH, Airbus, Alea Quantum, Alice & Bob, Aliro Quantum, Algorithmiq Oy, Alpine Quantum Technologies GmbH (AQT), Anametric Inc., Anyon Systems Inc., Aqarios GmbH, Aquark Technologies, Archer Materials, Arclight Quantum, Arctic Instruments, Arqit Quantum Inc., ARQUE Systems GmbH, Artificial Brain, Artilux, Atlantic Quantum, Atom Computing, Atom Quantum Labs, Atomionics, Atos Quantum, Baidu Inc., 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, CEW Systems Canada Inc., Cerca Magnetics, Chipiron, Chiral Nano AG, Classiq Technologies, ColibriTD, Commutator Studios GmbH, Covesion, Crypta Labs Ltd., CryptoNext Security, Crystal Quantum Computing, D-Wave Systems, Delft Circuits, Delta g, DeteQt, Diatope GmbH, Dirac, Diraq, Duality Quantum Photonics, EeroQ, eleQtron, Element Six, Elyah, Entropica Labs, Ephos, Equal1.labs, EuQlid, EvolutionQ, Exail Quantum Sensors, EYL, First Quantum Inc., Fujitsu, Genesis Quantum Technology, GenMat, 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, Icarus Quantum, Iceberg Quantum, Icosa Computing, ID Quantique and more
授權報價
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目錄 Table of Contents
1 EXECUTIVE SUMMARY 30
1.1 Quantum Technologies Market in 2026 30
1.1.1 Q1 2025: The Surge That Set the Tone 30
1.1.2 Q2 2025: Momentum Builds Across the Stack 31
1.1.3 Q3 2025: Mega-Rounds and a New Valuation Era 31
1.1.4 Q4 2025: Going Public and Consolidation Accelerates 32
1.1.5 Into 2026: The Public Market Era Begins 33
1.1.6 The Strategic Picture: What $10 Billion Means 33
1.1.7 2025 as Quantum Technology's Commercial Watershed 36
1.2 First and second quantum revolutions 37
1.3 Current quantum technology market landscape 37
1.3.1 Key developments 38
1.4 Technology Readiness Assessment 39
1.5 Quantum Technologies Investment Landscape 40
1.5.1 Total market investments 2012-2025 40
1.5.2 By Technology 44
1.5.3 By Company 44
1.5.4 By Application 46
1.5.5 By Region 47
1.5.5.1 The Quantum Market in North America 48
1.5.5.2 The Quantum Market in Asia 48
1.5.5.3 The Quantum Market in Europe 49
1.5.6 Key Investment Trends 2025–2026 49
1.6 Global government initiatives and funding 50
1.6.1 United States 51
1.6.2 China 51
1.6.3 European Union 52
1.6.4 Germany 53
1.6.5 United Kingdom 53
1.6.6 France 54
1.6.7 Canada 54
1.6.8 Australia 55
1.6.9 Japan 55
1.6.10 India 56
1.6.11 Cross-Cutting Themes in Government Quantum Investment 58
1.7 Challenges for quantum technologies adoption 58
1.8 Quantum 2.0 Market Map 60
1.9 SWOT Analysis 61
1.10 Quantum 2.0 Value Chain 62
1.11 Global Market Forecast 2026–2036 63
1.11.1 Total Market Revenues 63
1.11.2 By Technology Segment 64
1.11.3 By End-Use Industry 64
2 INTRODUCTION TO QUANTUM 2.0 TECHNOLOGIES 66
2.1 First and Second Quantum Revolutions 66
2.2 Quantum Mechanics Principles 67
2.2.1 Superposition 67
2.2.2 Entanglement 67
2.2.3 Quantum Coherence 68
2.2.4 Quantum Tunnelling 68
2.3 The Quantum 2.0 Technology Ecosystem 69
2.4 Enabling Technologies and Infrastructure 70
2.5 Standards Development 71
3 QUANTUM COMPUTING 73
3.1 What is quantum computing? 73
3.1.1 Operating principle 74
3.1.2 Classical vs quantum computing 75
3.1.3 Quantum computing technology 77
3.1.3.1 Quantum emulators 79
3.1.3.2 Quantum inspired computing 80
3.1.3.3 Quantum annealing computers 80
3.1.3.4 Quantum simulators 80
3.1.3.5 Digital quantum computers 80
3.1.3.6 Continuous variables quantum computers 81
3.1.3.7 Measurement Based Quantum Computing (MBQC) 81
3.1.3.8 Topological quantum computing 81
3.1.3.9 Quantum Accelerator 81
3.2 Benchmarking and Performance Metrics 81
3.2.1 Qubit Count 82
3.2.2 Gate Fidelity 82
3.2.3 Coherence Times 83
3.2.4 Quantum Volume 83
3.2.5 Competition from other technologies 84
3.2.6 Quantum algorithms 87
3.2.6.1 Quantum Software Stack 87
3.2.6.2 Quantum Machine Learning 88
3.2.6.3 Quantum Simulation 89
3.2.6.4 Quantum Optimization 89
3.2.6.5 Quantum Cryptography 89
3.2.6.5.1 Quantum Key Distribution (QKD) 90
3.2.6.5.2 Post-Quantum Cryptography 90
3.2.7 Architectural Approaches 91
3.2.7.1 Modular vs. Single Core 91
3.2.7.2 Heterogeneous Multi-Qubit Architectures 92
3.2.8 Hardware 92
3.2.8.1 Qubit Technologies 93
3.2.8.1.1 Superconducting Qubits 94
3.2.8.1.1.1 Technology description 94
3.2.8.1.1.2 Materials 96
3.2.8.2 Hardware Architecture 97
3.2.8.2.1.1 Market players 98
3.2.8.2.1.2 Swot analysis 99
3.2.8.2.1.3 Superconducting Hardware Roadmap 100
3.2.8.2.2 Trapped Ion Qubits 100
3.2.8.2.2.1 Technology description 100
3.2.8.2.2.2 Materials 102
3.2.8.2.2.2.1 Integrating optical components 102
3.2.8.2.2.2.2 Incorporating high-quality mirrors and optical cavities 102
3.2.8.2.2.2.3 Engineering the vacuum packaging and encapsulation 103
3.2.8.2.2.2.4 Removal of waste heat 103
3.2.8.2.2.3 Market players 104
3.2.8.2.2.4 Swot analysis 105
3.2.8.2.2.5 Trapped Ion Hardware Roadmap 105
3.2.8.2.3 Silicon Spin Qubits 106
3.2.8.2.3.1 Technology description 106
3.2.8.2.3.2 Quantum dots 107
3.2.8.2.3.3 Market players 109
3.2.8.2.3.4 SWOT analysis 110
3.2.8.2.3.5 Silicon Spin Hardware Roadmap 111
3.2.8.2.4 Topological Qubits 111
3.2.8.2.4.1 Technology description 111
3.2.8.2.4.1.1 Cryogenic cooling 112
3.2.8.2.4.2 Market players 113
3.2.8.2.4.3 SWOT analysis 113
3.2.8.2.5 Photonic Qubits 114
3.2.8.2.5.1 Technology description 114
3.2.8.2.5.2 Market players 116
3.2.8.2.5.3 Swot analysis 117
3.2.8.2.5.4 Photonic Hardware Roadmap 118
3.2.8.2.6 Neutral atom (cold atom) qubits 118
3.2.8.2.6.1 Technology description 118
3.2.8.2.6.2 Market players 121
3.2.8.2.6.3 Swot analysis 121
3.2.8.2.6.4 Neutral Atom Hardware Roadmap 122
3.2.8.2.7 Diamond-defect qubits 123
3.2.8.2.7.1 Technology description 123
3.2.8.2.7.2 SWOT analysis 125
3.2.8.2.7.3 Market players 126
3.2.8.2.7.4 Diamond-Defect Hardware Roadmap 126
3.2.8.2.8 Quantum annealers 127
3.2.8.2.8.1 Technology description 127
3.2.8.2.8.2 SWOT analysis 129
3.2.8.2.8.3 Market players 130
3.2.8.2.8.4 Quantum Annealing Hardware Roadmap 130
3.2.8.3 Architectural Approaches 130
3.2.8.4 Quantum Computing Infrastructure Requirements 131
3.2.9 Software 132
3.2.9.1 Technology description 133
3.2.9.2 Cloud-based services- QCaaS (Quantum Computing as a Service). 133
3.2.9.3 Market players 134
3.3 Market challenges 137
3.4 SWOT analysis 138
3.5 Business Models 139
3.6 Error Correction and Fault Tolerance 139
3.7 Quantum Computing in Data Centres 140
3.8 Quantum computing value chain 141
3.9 Markets and applications for quantum computing 141
3.9.1 Pharmaceuticals 142
3.9.1.1 Market overview 142
3.9.1.1.1 Drug discovery 142
3.9.1.1.2 Diagnostics 143
3.9.1.1.3 Molecular simulations 143
3.9.1.1.4 Genomics 143
3.9.1.1.5 Proteins and RNA folding 144
3.9.1.2 Market players 144
3.9.2 Chemicals 145
3.9.2.1 Market overview 145
3.9.2.2 Market players 145
3.9.3 Transportation 146
3.9.3.1 Market overview 146
3.9.3.2 Market players 148
3.9.4 Financial services 149
3.9.4.1 Market overview 149
3.9.4.2 Market players 149
3.10 Opportunity analysis 150
3.11 Technology roadmap 152
4 QUANTUM CHEMISTRY AND ARTIFICAL INTELLIGENCE (AI) 155
4.1 Technology description 155
4.2 Applications 155
4.3 SWOT analysis 156
4.4 Market challenges 157
4.5 Market players 157
4.6 Opportunity analysis 158
4.7 Technology roadmap 159
5 QUANTUM MACHINE LEARNING 162
5.1 What is Quantum Machine Learning? 162
5.2 Classical vs. Quantum Computing Paradigms for ML 162
5.3 Quantum Mechanical Principles for ML 163
5.4 Machine Learning Fundamentals 163
5.5 The Intersection — Why Combine Quantum and ML? 164
5.6 QML Phases and Evolution 164
5.6.1 The First Phase of QML 164
5.6.2 The Second Phase of QML 165
5.7 Algorithms and Software for QML 166
5.8 Quantum Neural Networks 166
5.9 Variational Quantum Classifiers 167
5.10 Quantum Kernel Methods 167
5.11 Advantages of QML 168
5.11.1 Improved Optimisation and Generalisation 168
5.11.2 Quantum Advantage in ML 168
5.11.3 Training Advantages and Opportunities 169
5.11.4 Improved Accuracy 169
5.12 Challenges and Limitations 169
5.12.1 Hardware Constraints 170
5.12.2 Costs 171
5.12.3 Nascent Technology 171
5.13 QML Applications 171
5.14 QML Roadmap 172
5.15 Market Players 172
5.16 Market Forecasts 2026–2036 173
6 QUANTUM SIMULATION 175
6.1 What is Quantum Simulation? 175
6.2 Analog vs. Digital Quantum Simulation 175
6.3 Quantum Simulation Platforms 176
6.3.1 Neutral Atom Simulators 177
6.3.2 Trapped Ion Simulators 177
6.3.3 Superconducting Circuit Simulators 178
6.3.4 Photonic Simulators 178
6.4 Applications of Quantum Simulation 178
6.4.1 Molecular and Chemical Simulation 179
6.4.2 Materials Discovery 180
6.4.3 High-Energy Physics 180
6.4.4 Condensed Matter Physics 181
6.4.5 Drug Discovery and Protein Folding 181
6.5 Quantum Chemistry Simulation 181
6.6 Market Players 183
6.7 SWOT Analysis 184
6.8 Market Forecasts 2026–2036 184
7 QUANTUM COMMUNICATIONS 186
7.1 Technology description 186
7.2 Types 186
7.3 Applications 187
7.4 Quantum Random Numbers Generators (QRNG) 187
7.4.1 Overview 187
7.4.2 QRNG Product Design and Technology Evolution 189
7.4.3 Entropy Sources 189
7.4.4 High Throughput as Key Differentiator 191
7.4.5 Standards Development 191
7.4.6 Applications 192
7.4.6.1 Encryption for Data Centers 193
7.4.6.2 Consumer Electronics 194
7.4.6.3 Automotive/Connected Vehicle 194
7.4.6.4 Gambling and Gaming 195
7.4.6.5 Monte Carlo Simulations 196
7.4.6.6 Government and Defense Applications 197
7.4.6.7 Enterprise Networks and Data Centers 197
7.4.6.8 Automotive Applications 198
7.4.6.9 Online Gaming 198
7.4.7 Advantages 198
7.4.8 Principle of Operation of Optical QRNG Technology 199
7.4.9 Non-optical approaches to QRNG technology 201
7.4.10 SWOT Analysis 202
7.4.11 Market Forecasts 202
7.5 Quantum Key Distribution (QKD) 203
7.5.1 Overview 203
7.5.2 Asymmetric and Symmetric Keys 203
7.5.3 Principle behind QKD 205
7.5.4 Why is QKD More Secure Than Other Key Exchange Mechanisms? 206
7.5.5 Discrete Variable vs. Continuous Variable QKD Protocols 207
7.5.6 MDI-QKD (Measurement Device Independent QKD) 208
7.5.7 Fiber-Based QKD 209
7.5.8 Free-Space and Satellite QKD 210
7.5.9 Key Players 210
7.5.10 Challenges 211
7.5.11 SWOT Analysis 213
7.5.12 Market Forecasts 214
7.6 Post-quantum cryptography (PQC) 215
7.6.1 Overview 215
7.6.2 Security systems integration 215
7.6.3 PQC standardization 215
7.6.3.1 NIST Standardisation Process and Outcomes 216
7.6.3.2 Migration Implications 216
7.6.4 Transitioning cryptographic systems to PQC 217
7.6.5 Market players 218
7.6.6 SWOT Analysis 220
7.6.7 Market Forecasts 221
7.7 Quantum homomorphic cryptography 221
7.8 Quantum Teleportation 222
7.9 Quantum Networks 222
7.9.1 Overview 222
7.9.2 Advantages 222
7.9.3 Role of Trusted Nodes and Trusted Relays 223
7.9.4 Entanglement Swapping and Optical Switches 223
7.9.5 Multiplexing quantum signals with classical channels in the O-band 224
7.9.5.1 Wavelength-division multiplexing (WDM) and time-division multiplexing (TDM) 224
7.9.6 Twin-Field Quantum Key Distribution (TF-QKD) 225
7.9.7 Enabling global-scale quantum communication 225
7.9.8 Advanced optical fibers and interconnects 226
7.9.9 Photodetectors in quantum networks 227
7.9.9.1 Avalanche photodetectors (APDs) 227
7.9.9.2 Single-photon avalanche diodes (SPADs) 228
7.9.9.3 Silicon Photomultipliers (SiPMs) 228
7.9.10 Cryostats 229
7.9.10.1 Cryostat architectures 229
7.9.11 Infrastructure requirements 233
7.9.12 Global activity 234
7.9.12.1 China 234
7.9.12.2 Europe 235
7.9.12.3 The Netherlands 235
7.9.12.4 The United Kingdom 236
7.9.12.5 US 236
7.9.12.6 Japan 237
7.9.13 SWOT analysis 238
7.10 Quantum Memory 239
7.11 Quantum Internet 239
7.12 Global Market for Quantum Communications by Technology Type 2026–2036 239
7.13 Market challenges 240
7.14 Market players 241
7.15 Opportunity analysis 243
7.16 Technology roadmap 245
8 QUANTUM SENSORS 247
8.1 Technology description 247
8.1.1 Quantum Sensing Principles 248
8.1.2 SWOT analysis 251
8.1.3 Atomic Clocks 252
8.1.3.1 High frequency oscillators 253
8.1.3.1.1 Emerging oscillators 253
8.1.3.2 Caesium atoms 253
8.1.3.3 Self-calibration 253
8.1.3.4 Optical atomic clocks 254
8.1.3.4.1 Chip-scale optical clocks 254
8.1.3.5 Bench/Rack-Scale Atomic Clocks 255
8.1.3.6 Chip-Scale Atomic Clocks (CSAC) 256
8.1.3.7 Atomic Clocks Market Forecasts — Total 257
8.1.3.8 Companies 257
8.1.3.9 SWOT analysis 258
8.1.4 Quantum Magnetic Field Sensors 259
8.1.4.1 Introduction 259
8.1.4.2 Motivation for use 260
8.1.4.3 Market opportunity 261
8.1.4.4 Superconducting Quantum Interference Devices (Squids) 262
8.1.4.4.1 Applications 262
8.1.4.4.2 Key players 264
8.1.4.4.3 SWOT analysis 265
8.1.4.5 Optically Pumped Magnetometers (OPMs) 265
8.1.4.5.1 Applications 266
8.1.4.5.2 Key players 266
8.1.4.5.3 SWOT analysis 267
8.1.4.6 Tunneling Magneto Resistance Sensors (TMRs) 268
8.1.4.6.1 Applications 268
8.1.4.6.2 Key players 269
8.1.4.6.3 SWOT analysis 269
8.1.4.7 Nitrogen Vacancy Centers (N-V Centers) 270
8.1.4.7.1 Applications 270
8.1.4.7.2 Key players 271
8.1.4.7.3 SWOT analysis 272
8.1.5 Quantum Gravimeters 273
8.1.5.1 Technology description 273
8.1.5.2 Applications 273
8.1.5.3 Key players 276
8.1.5.4 SWOT analysis 277
8.1.6 Quantum Gyroscopes 278
8.1.6.1 Technology description 278
8.1.6.1.1 Inertial Measurement Units (IMUs) 279
8.1.6.1.2 Atomic quantum gyroscopes 279
8.1.6.2 Applications 280
8.1.6.3 Key players 281
8.1.6.4 SWOT analysis 282
8.1.7 Quantum Image Sensors 283
8.1.7.1 Technology description 283
8.1.7.2 Applications 284
8.1.7.3 SWOT analysis 284
8.1.7.4 Key players 285
8.1.8 Quantum Radar 289
8.1.8.1 Technology description 289
8.1.8.2 Applications 291
8.1.9 Quantum Navigation 294
8.1.10 Quantum Sensor Components 294
8.1.11 Quantum Chemical Sensors 296
8.1.11.1 Technology overview 296
8.1.11.2 Commercial activities 296
8.1.12 Quantum Radio Frequency Field Sensors 297
8.1.12.1 Overview 297
8.1.12.2 Rydberg Atom Based Electric Field Sensors and Radio Receivers 301
8.1.12.2.1 Principles 301
8.1.12.2.2 Commercialization 302
8.1.12.3 Nitrogen-Vacancy Centre Diamond Electric Field Sensors and Radio Receivers 303
8.1.12.3.1 Principles 303
8.1.12.3.2 Applications 304
8.1.12.4 Market 306
8.1.13 Quantum NEM and MEMs 311
8.1.13.1 Technology description 311
8.2 Market and technology challenges 311
8.3 Market forecasts 312
8.3.1 By Sensor Type 312
8.3.2 By Volume 314
8.3.3 By Sensor Price 315
8.3.4 By End-Use Industry 317
8.4 Technology roadmap 318
9 QUANTUM BATTERIES 321
9.1 Technology description 321
9.2 Types 322
9.3 Applications 322
9.4 SWOT analysis 323
9.5 Market challenges 324
9.6 Market players 324
9.7 Opportunity analysis 325
9.8 Technology roadmap 326
10 END-USE MARKETS AND APPLICATIONS 329
10.1 Overview 329
10.2 Pharmaceuticals and Drug Discovery 330
10.2.1 Market Overview 330
10.2.2 Drug Discovery Applications 331
10.3 Financial Services 332
10.3.1 Market Overview 332
10.3.2 Portfolio Optimisation 333
10.3.3 Risk Assessment 333
10.3.4 Algorithmic Trading 333
10.3.5 Fraud Detection 333
10.4 Aerospace and Defence 334
10.4.1 Market Overview 334
10.4.2 Navigation and Positioning 334
10.4.3 Secure Communications 335
10.4.4 Simulation and Optimisation 335
10.5 Energy and Utilities 335
10.5.1 Market Overview 335
10.5.2 Grid Optimisation 336
10.5.3 Renewable Energy Integration 336
10.5.4 Carbon Capture Optimisation 336
10.6 Healthcare and Medical 337
10.6.1 Market Overview 337
10.6.2 Medical Imaging 337
10.6.3 Diagnostics 337
10.6.4 Personalized Medicine 338
10.7 Telecommunications 338
10.7.1 Market Overview 338
10.7.2 Network Optimisation 338
10.7.3 Quantum-Secure Networks 338
10.8 Government and Public Sector 339
10.8.1 Market Overview 339
11 MATERIALS FOR QUANTUM TECHNOLOGIES 340
11.1 Superconductors 341
11.1.1 Overview 341
11.1.2 Types and Properties 341
11.1.3 Critical Temperature and Material Selection 341
11.1.3.1 Critical Material Supply Chain Considerations 342
11.1.4 Superconducting Quantum Circuits 343
11.1.4.1 Introduction 343
11.1.4.2 Fabricating Superconducting Qubits 344
11.1.5 Defects and Sources of Noise 345
11.1.6 Superconducting Nanowire Single-Photon Detectors (SNSPDs) — Materials and Fabrication 346
11.1.7 Opportunities 347
11.2 Photonics, Silicon Photonics and Optical Components 348
11.2.1 Overview 348
11.2.2 Types and Properties 348
11.2.3 Photonic Integrated Circuits for Quantum Technology 348
11.2.3.1 Overview 348
11.2.4 PICs for Quantum Sensing 350
11.2.5 Opportunities 351
11.3 Nanomaterials 352
11.3.1 Overview 352
11.3.2 Types and Properties 352
11.3.3 Opportunities 352
11.4 Artificial Diamond for Quantum Technology 353
11.4.1 Overview 353
11.4.2 Supply Chain and Materials for Diamond-Based Quantum Computers 354
11.4.3 Quantum Grade Diamond 355
11.4.4 Silicon-Vacancy in Diamond Quantum Memory 355
11.5 Materials Market Forecasts 355
12 REGIONAL MARKET ANALYSIS 358
12.1 North America 358
12.1.1 United States 358
12.1.2 Canada 358
12.2 Europe 359
12.2.1 European Union Initiatives 359
12.2.2 United Kingdom 359
12.2.3 Germany 359
12.2.4 France 360
12.2.5 Netherlands 360
12.3 Asia-Pacific 360
12.3.1 China 360
12.3.2 Japan 361
12.3.3 South Korea 361
12.3.4 Australia 361
12.3.5 Singapore 362
12.4 Rest of World 362
12.5 Government Initiatives Comparison 363
13 GLOBAL MARKET ANALYSIS 365
13.1 Market map 365
13.2 Key industry players 366
13.2.1 Start-ups 367
13.2.2 Tech Giants 367
13.2.3 National Initiatives 368
13.3 Global market revenues 2018-2046 368
13.3.1 Quantum Computing 368
13.3.2 Quantum Sensors 368
13.3.3 QKD Systems 369
13.3.4 Quantum Random Number Generators (QRNG) 370
13.3.5 Post-Quantum Cryptography (PQC) 371
13.3.6 Quantum Machine Learning 371
13.3.7 Quantum Simulation 372
13.3.8 Quantum Batteries 372
13.3.9 Total Quantum 2.0 Market — Consolidated Forecast 373
14 COMPANY PROFILES 375 (331 company profiles)
15 RESEARCH METHODOLOGY 592
16 TERMS AND DEFINITIONS 593
17 REFERENCES 596
圖表清單 List of Tables & Figures
List of Tables
Table 1. 2025–2026 Quantum Technology Investment 34
Table 2. First and second quantum revolutions. 37
Table 3. Technology Readiness Level (TRL) assessment by quantum platform 39
Table 4. Quantum Technology Total Investments 2012–2026 (millions USD) 40
Table 5. Major Quantum Technologies Investments 2024–2026 41
Table 6. Quantum Technology Investments 2012–2026 by Technology Subsector (millions USD) 44
Table 7. Quantum Technology Funding 2022–2026 by Company (USD) 45
Table 8. Quantum Technology Investment by Application 2012–2026 (millions USD) 46
Table 9. Quantum Technology Investments 2012–2026 by Region (millions USD) 47
Table 10. Key Quantum Investment Trends 2025–2026 49
Table 11.Global Government Quantum Commitments (2022–2026) 56
Table 12. Challenges for quantum technologies adoption. 59
Table 13. Quantum 2.0 value chain 62
Table 14. Total Quantum 2.0 market forecast 2026–2036 (billions USD) 63
Table 15. Quantum 2.0 market by end-use industry 2026–2036 (billions USD) 64
Table 16. Quantum 2.0 market by region 2026–2036 (billions USD) 64
Table 17. First and second quantum revolutions 66
Table 18. Comparison — Classical vs. Quantum Technologies 70
Table 19. Applications for quantum computing 75
Table 20. Comparison of classical versus quantum computing. 76
Table 21. Key quantum mechanical phenomena utilized in quantum computing. 77
Table 22. Types of quantum computers. 77
Table 23. Qubit performance benchmarking by platform 82
Table 24. Coherence times for different qubit implementations 83
Table 25. Quantum computer benchmarking metrics 83
Table 26. Logical qubit progress 84
Table 27. Comparative analysis of quantum computing with classical computing, quantum-inspired computing, and neuromorphic computing. 85
Table 28. Different computing paradigms beyond conventional CMOS. 86
Table 29. Applications of quantum algorithms. 87
Table 30. QML approaches. 88
Table 31. Modular vs. single core architectures 91
Table 32. Heterogeneous architectural approaches by provider 92
Table 33. Coherence times for different qubit implementations. 94
Table 34. Superconducting qubit market players. 98
Table 35. Initialization, manipulation and readout for trapped ion quantum computers. 101
Table 36. Ion trap market players. 104
Table 37. Initialization, manipulation, and readout methods for silicon-spin qubits. 108
Table 38. Silicon spin qubits market players. 109
Table 39. Initialization, manipulation and readout of topological qubits. 112
Table 40. Topological qubits market players. 113
Table 41. Pros and cons of photon qubits. 114
Table 42. Comparison of photon polarization and squeezed states. 114
Table 43. Initialization, manipulation and readout of photonic platform quantum computers. 115
Table 44. Photonic qubit market players. 116
Table 45. Initialization, manipulation and readout for neutral-atom quantum computers. 120
Table 46. Pros and cons of cold atoms quantum computers and simulators 120
Table 47. Neural atom qubit market players. 121
Table 48. Initialization, manipulation and readout of Diamond-Defect Spin-Based Computing. 123
Table 49. Key materials for developing diamond-defect spin-based quantum computers. 124
Table 50. Diamond-defect qubits market players. 126
Table 51. Pros and cons of quantum annealers. 128
Table 52. Quantum annealers market players. 130
Table 53. Quantum computing infrastructure requirements 131
Table 54. Quantum computing software market players. 134
Table 55. Market challenges in quantum computing. 137
Table 56. Business models in quantum computing 139
Table 57. Quantum computing value chain. 141
Table 58. Markets and applications for quantum computing. 141
Table 59. Market players in quantum technologies for pharmaceuticals. 144
Table 60. Market players in quantum computing for chemicals. 145
Table 61. Automotive applications of quantum computing, 146
Table 62. Market players in quantum computing for transportation. 148
Table 63. Market players in quantum computing for financial services 149
Table 64. Market opportunities in quantum computing. 150
Table 65. Applications in quantum chemistry and artificial intelligence (AI). 155
Table 66. Market challenges in quantum chemistry and Artificial Intelligence (AI). 157
Table 67. Market players in quantum chemistry and AI. 157
Table 68. Market opportunities in quantum chemistry and AI. 158
Table 69. Classical vs. quantum computing paradigms for machine learning 162
Table 70. QML phases and evolution 165
Table 71. QML approaches 166
Table 72. Advantages of quantum machine learning 168
Table 73. Challenges and limitations of QML 169
Table 74. QML applications by industry 171
Table 75. QML market players 172
Table 76. QML market forecasts 2026–2036 (millions USD) 173
Table 77. Comparison of analog and digital quantum simulation approaches 175
Table 78. Quantum simulation platforms comparison 176
Table 79. Applications of quantum simulation by industry 178
Table 80. Applications in quantum chemistry and artificial intelligence 182
Table 81. Market challenges in quantum chemistry simulation 182
Table 82. Quantum simulation market players 183
Table 83. Quantum simulation market forecasts 2026–2036 (millions USD) 184
Table 84. Main types of quantum communications. 186
Table 85. Applications in quantum communications. 187
Table 86. QRNG entropy sources comparison 189
Table 87. QRNG standards development 191
Table 88. QRNG applications. 192
Table 89. Key Players Developing QRNG Products. 199
Table 90. Optical QRNG by company. 200
Table 91. QRNG market forecasts 2026–2036 by application segment (millions USD) 202
Table 92. QKD protocols comparison 208
Table 93. Markets for QKD systems by end-use industry and delivery method 2026–2036 (millions USD) 214
Table 94. Market players in post-quantum cryptography. 218
Table 95. PQC market forecasts by cryptographic approach 2026–2036 (millions USD) 221
Table 96. Global market for quantum communications by technology type 2026–2036 (millions USD) 240
Table 97. Market challenges in quantum communications. 240
Table 98. Market players in quantum communications. 241
Table 99. Market opportunities in quantum communications. 244
Table 100. Comparison between classical and quantum sensors. 247
Table 101. Applications in quantum sensors. 248
Table 102. Technology approaches for enabling quantum sensing 249
Table 103. Value proposition for quantum sensors. 250
Table 104. Key challenges and limitations of quartz crystal clocks vs. atomic clocks. 252
Table 105. New modalities being researched to improve the fractional uncertainty of atomic clocks. 254
Table 106. Global market for bench/rack-scale atomic clocks 2026–2036 (millions USD) 256
Table 107. Global market for chip-scale atomic clocks 2026–2036 (millions USD) 257
Table 108. Global market for atomic clocks 2026–2036 (billions USD) 257
Table 109. Companies developing high-precision quantum time measurement 257
Table 110. Key players in atomic clocks. 259
Table 111. Comparative analysis of key performance parameters and metrics of magnetic field sensors. 260
Table 112. Types of magnetic field sensors. 261
Table 113. Market opportunity for different types of quantum magnetic field sensors. 262
Table 114. Applications of SQUIDs. 262
Table 115. Market opportunities for SQUIDs (Superconducting Quantum Interference Devices). 264
Table 116. Key players in SQUIDs. 264
Table 117. Applications of optically pumped magnetometers (OPMs). 266
Table 118. Key players in Optically Pumped Magnetometers (OPMs). 266
Table 119. Applications for TMR (Tunneling Magnetoresistance) sensors. 268
Table 120. Market players in TMR (Tunneling Magnetoresistance) sensors. 269
Table 121. Applications of N-V center magnetic field centers 271
Table 122. Key players in N-V center magnetic field sensors. 271
Table 123. Applications of quantum gravimeters 274
Table 124. Comparative table between quantum gravity sensing and some other technologies commonly used for underground mapping. 274
Table 125. Key players in quantum gravimeters. 276
Table 126. Comparison of quantum gyroscopes with MEMs gyroscopes and optical gyroscopes. 278
Table 127. Markets and applications for quantum gyroscopes. 280
Table 128. Key players in quantum gyroscopes. 281
Table 129. Types of quantum image sensors and their key features/. 283
Table 130. Applications of quantum image sensors. 284
Table 131. Key players in quantum image sensors. 285
Table 132. Comparison of quantum radar versus conventional radar and lidar technologies. 290
Table 133. Applications of quantum radar. 291
Table 134. Single-photon detector technology comparison 293
Table 135. SNSPD market players 293
Table 136. Quantum sensor component categories and functions 295
Table 137. Challenges for quantum sensor components 296
Table 138. Value Proposition of Quantum RF Sensors 297
Table 139. Types of Quantum RF Sensors 299
Table 140. Markets for Quantum RF Sensors 306
Table 141. Technology Transition Milestones. 310
Table 142. Market and technology challenges in quantum sensing. 312
Table 143. Global market for quantum sensors by sensor type 2018–2036 (Millions USD) 313
Table 144. Extended forecast to 2046 (Millions USD) 313
Table 145. Global market for quantum sensors by volume 2018–2046 (Units) 314
Table 146. Global market for quantum sensors by sensor price 2025–2046 (Units) 315
Table 147. Extended price segmentation to 2046 (Units — selected years) 316
Table 148. Global market for quantum sensors by end-use industry 2018–2036 (Millions USD) 317
Table 149. Extended forecast to 2046 (Millions USD) 317
Table 150. Comparison between quantum batteries and other conventional battery types. 321
Table 151. Types of quantum batteries. 322
Table 152. Applications of quantum batteries. 322
Table 153. Market challenges in quantum batteries. 324
Table 154. Market players in quantum batteries. 324
Table 155. Market opportunities in quantum batteries. 325
Table 156. Total addressable market (TAM) for quantum technologies by sector 329
Table 157. End-user industry investment in quantum readiness 330
Table 158. Market players in quantum technologies for pharmaceuticals 332
Table 159. Market players in quantum computing for financial services 334
Table 160. Materials in Quantum Technology. 340
Table 161. Superconductors in quantum technology. 341
Table 162. Critical temperature of superconducting materials for quantum technology 342
Table 163. Transmon superconducting qubit structure and materials 343
Table 164. Summary of manufacturing processes for superconducting quantum chips 344
Table 165. Defects and sources of noise for superconducting quantum circuits 345
Table 166. Fabrication methods for SNSPDs 346
Table 167. Photonics, silicon photonics and optics in quantum technology. 348
Table 168. Quantum PIC material platforms benchmarked 349
Table 169. PIC materials used by quantum technology companies 350
Table 170. Nanomaterials in quantum technology. 352
Table 171. Material advantages and disadvantages of diamond for quantum applications 353
Table 172. Synthetic diamond value chain for quantum technology 354
Table 173. Market forecast for superconducting chips for quantum technologies 2026–2036 (millions USD) 355
Table 174. Market forecast for PICs for quantum technologies 2026–2036 (millions USD) 356
Table 175. Market forecast for diamond for quantum technologies 2026–2036 (millions USD) 356
Table 176. Global government quantum initiatives comparison 363
Table 177. Global Market for Quantum Computing — Hardware, Software & Services 2025–2046 (billions USD) 368
Table 178. Markets for Quantum Sensors by Type 2025–2046 (millions USD) 369
Table 179. Markets for QKD Systems 2025–2046 (millions USD) 369
Table 180. Global Market for Quantum Random Number Generators by Application 2025–2046 (millions USD) 370
Table 181. Global Market for Post-Quantum Cryptography by Approach 2025–2046 (millions USD) 371
Table 182. Global Market for Quantum Machine Learning by Segment 2025–2046 (millions USD) 371
Table 183. Global Market for Quantum Simulation by Application 2025–2046 (millions USD) 372
Table 184. Global Market for Quantum Batteries by Application 2025–2046 (millions USD) 373
Table 185. Total Quantum 2.0 Market by Segment 2026–2036 (billions USD) 373
Table 186. Quantum 2.0 Market by End-Use Industry 2026–2036 (billions USD) 374
Table 187. Quantum 2.0 Market by Region 2026–2036 (billions USD) 374
List of Figures
Figure 1. Quantum computing development timeline. 38
Figure 2. Quantum computing architectures. 73
Figure 3. An early design of an IBM 7-qubit chip based on superconducting technology. 74
Figure 4. Various 2D to 3D chips integration techniques into chiplets. 76
Figure 5. IBM Q System One quantum computer. 79
Figure 6. Unconventional computing approaches. 86
Figure 7. 53-qubit Sycamore processor. 89
Figure 8. Interior of IBM quantum computing system. The quantum chip is located in the small dark square at center bottom. 93
Figure 9. Superconducting quantum computer. 95
Figure 10. Superconducting quantum computer schematic. 96
Figure 11. Components and materials used in a superconducting qubit. 97
Figure 12. SWOT analysis for superconducting quantum computers:. 99
Figure 13. Ion-trap quantum computer. 100
Figure 14. Various ways to trap ions. 101
Figure 15. Universal Quantum’s shuttling ion architecture in their Penning traps. 102
Figure 16. SWOT analysis for trapped-ion quantum computing. 105
Figure 17. CMOS silicon spin qubit. 106
Figure 18. Silicon quantum dot qubits. 108
Figure 19. SWOT analysis for silicon spin quantum computers. 111
Figure 20. SWOT analysis for topological qubits 113
Figure 21 . SWOT analysis for photonic quantum computers. 118
Figure 22. Neutral atoms (green dots) arranged in various configurations 119
Figure 23. SWOT analysis for neutral-atom quantum computers. 122
Figure 24. NV center components. 123
Figure 25. SWOT analysis for diamond-defect quantum computers. 126
Figure 26. D-Wave quantum annealer. 129
Figure 27. SWOT analysis for quantum annealers. 130
Figure 28. Quantum software development platforms. 132
Figure 29. SWOT analysis for quantum computing. 139
Figure 30. Technology roadmap for quantum computing 2025-2046. 154
Figure 31. SWOT analysis for quantum chemistry and AI. 157
Figure 32. Technology roadmap for quantum chemistry and AI 2025-2046. 161
Figure 33. IDQ quantum number generators. 188
Figure 34. SWOT Analysis of Quantum Random Number Generator Technology. 202
Figure 35. SWOT Analysis of Quantum Key Distribution Technology. 214
Figure 36. SWOT Analysis: Post Quantum Cryptography (PQC). 221
Figure 37. SWOT analysis for networks. 239
Figure 38. Technology roadmap for quantum communications 2025-2046. 246
Figure 39. Q.ANT quantum particle sensor. 251
Figure 40. SWOT analysis for quantum sensors market. 252
Figure 41. NIST's compact optical clock. 255
Figure 42. SWOT analysis for atomic clocks. 259
Figure 43.Principle of SQUID magnetometer. 263
Figure 44. SWOT analysis for SQUIDS. 265
Figure 45. SWOT analysis for OPMs 267
Figure 46. Tunneling magnetoresistance mechanism and TMR ratio formats. 268
Figure 47. SWOT analysis for TMR (Tunneling Magnetoresistance) sensors. 270
Figure 48. SWOT analysis for N-V Center Magnetic Field Sensors. 272
Figure 49. Quantum Gravimeter. 273
Figure 50. SWOT analysis for Quantum Gravimeters. 278
Figure 51. SWOT analysis for Quantum Gyroscopes. 282
Figure 52. SWOT analysis for Quantum image sensing. 285
Figure 53. Principle of quantum radar. 290
Figure 54. Illustration of a quantum radar prototype. 290
Figure 55. Quantum RF Sensors Market Roadmap (2023-2046). 310
Figure 56. Technology roadmap for quantum sensors 2025-2046. 320
Figure 57. Schematic of the flow of energy (blue) from a source to a battery made up of multiple cells. (left) 321
Figure 58. SWOT analysis for quantum batteries. 323
Figure 59. Technology roadmap for quantum batteries 2025-2046. 328
Figure 60. Market map for quantum technologies industry. 366
Figure 61. Tech Giants quantum technologies activities. 367
Figure 62. Archer-EPFL spin-resonance circuit. 385
Figure 63. IBM Q System One quantum computer. 430
Figure 64. ColdQuanta Quantum Core (left), Physics Station (middle) and the atoms control chip (right). 435
Figure 65. Intel Tunnel Falls 12-qubit chip. 436
Figure 66. IonQ's ion trap 437
Figure 67. 20-qubit quantum computer. 439
Figure 68. Maybell Big Fridge. 451
Figure 69. PsiQuantum’s modularized quantum computing system networks. 487
Figure 70. Quantum Brilliance device 521
Figure 71. The Ez-Q Engine 2.0 superconducting quantum measurement and control system. 524
Figure 72. 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. 538
Figure 73. Quobly's processor. 543
Figure 74. SemiQ first chip prototype. 564
Figure 75. SpinMagIC quantum sensor. 571
Figure 76. Toshiba QKD Development Timeline. 578
Figure 77. Toshiba Quantum Key Distribution technology. 579
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