1. | EXECUTIVE SUMMARY |
1.1. | Overview of the quantum technology market landscape |
1.2. | Quantum research breakthroughs have evolved from theoretical to application focused - creating commercialization opportunities |
1.3. | Segmenting the quantum technology ecosystem by function and value proposition: computing, sensing and communications |
1.4. | Quantum Technology Market Forecasts (Annual Revenue, USD Million) |
1.5. | Why now for quantum technologies? |
1.6. | Government funding in the US, China, and Europe is driving the commercializing of quantum technologies |
1.7. | Shortage of quantum talent is a challenge for the industry |
1.8. | Quantum and AI - ally or competitor? |
1.9. | Summary of Material Opportunities in Quantum Technology |
1.10. | The quantum computer market 'at a glance' |
1.11. | The race for quantum computing is an ultra-marathon not a sprint |
1.12. | Quantum Computing Market: Analyst Opinion |
1.13. | Quantum Computing: Main conclusions (I) |
1.14. | Quantum Computing: Main conclusions (II) |
1.15. | The quantum sensor market 'at a glance' |
1.16. | Quantum sensors: Analyst viewpoint |
1.17. | The quantum communication market 'at a glance' |
1.18. | The quantum threat to data security |
1.19. | Quantum communications: analyst viewpoint (1) |
1.20. | Quantum communications: analyst viewpoint (2) |
2. | INTRODUCTION |
2.1. | Overview of the quantum technology market landscape |
2.2. | Quantum research breakthroughs have evolved from theoretical to application focused - creating commercialization opportunities |
2.3. | Segmenting the quantum technology ecosystem by function and value proposition: computing, sensing and communications |
2.4. | Government funding is largely driving the commercialization of quantum technologies |
2.5. | USA National Quantum Initiative aims to accelerate research and economic development |
2.6. | The UK National Quantum Technologies Program |
2.7. | Eleven quantum technology innovation hubs now established in Japan |
2.8. | Quantum in South Korea: ambitions to become a global leader in the 2030s |
2.9. | Quantum in Australia: creating clear benchmarks of national quantum eco-system success |
2.10. | Collaboration versus quantum nationalism |
2.11. | Shortage of quantum talent is a challenge for the industry |
2.12. | Classical vs. Quantum |
2.13. | Superposition, entanglement, and observation |
2.14. | Quantum phenomena enable highly-sensitive quantum sensing |
3. | QUANTUM COMPUTING |
3.1. | Quantum Computing: Introduction |
3.1.1. | Quantum computing glossary |
3.1.2. | Introduction to quantum computers |
3.2. | Quantum Computing: Technologies |
3.2.1. | The number of companies commercializing quantum computers is growing |
3.2.2. | Blueprint for a quantum computer: qubits, initialization, readout, manipulation |
3.2.3. | Summarizing the promises and challenges of leading quantum hardware |
3.2.4. | Summarizing the promises and challenges of leading quantum hardware |
3.2.5. | Competing quantum computer architectures: Summary table |
3.2.6. | Hardware agnostic platforms for quantum computing represent a new market for established technologies |
3.2.7. | Four major challenges for quantum hardware |
3.2.8. | Comparing progress in logical qubit number scalability between key players/qubit modalities |
3.2.9. | Infrastructure Trends: Modular vs. Single Core |
3.2.10. | Introduction to superconducting qubits (I) |
3.2.11. | Comparing key players in superconducting quantum computing (hardware) |
3.2.12. | SWOT analysis: superconducting quantum computers |
3.2.13. | Key conclusions: superconducting quantum computers |
3.2.14. | Introduction to trapped-ion quantum computing |
3.2.15. | Comparing key players in trapped ion quantum computing (hardware) |
3.2.16. | SWOT analysis: trapped-ion quantum computers |
3.2.17. | Key conclusions: trapped ion quantum computers |
3.2.18. | Introduction to light-based qubits |
3.2.19. | Comparing key players in photonic quantum computing |
3.2.20. | SWOT analysis: photonic quantum computers |
3.2.21. | Key conclusions: photonic quantum computers |
3.2.22. | Introduction to silicon-spin qubits |
3.2.23. | Comparing key players in silicon spin quantum computing |
3.2.24. | SWOT analysis: silicon spin quantum computers |
3.2.25. | Key conclusions: silicon spin quantum computers |
3.2.26. | Introduction to neutral atom quantum computing |
3.2.27. | Comparing key players in neutral atom quantum computing (hardware) |
3.2.28. | SWOT analysis: neutral-atom quantum computers |
3.2.29. | Key conclusions: neutral atom quantum computers |
3.2.30. | Introduction to diamond-defect spin-based computing |
3.2.31. | Comparing key players in diamond defect quantum computing |
3.2.32. | SWOT analysis: diamond-defect quantum computers |
3.2.33. | Key conclusions: diamond-defect quantum computers |
3.2.34. | Confidence in the potential of topological quantum computing is rising |
3.2.35. | Introduction to quantum annealers |
3.2.36. | Comparing key players in quantum annealing |
3.2.37. | SWOT analysis: quantum annealers |
3.2.38. | Key conclusions: quantum annealers |
3.2.39. | Benchmarking Quantum Computers |
3.2.40. | Noise effects on qubits |
3.2.41. | Comparing coherence times |
3.2.42. | Qubit fidelity and error rate |
3.2.43. | Quantum supremacy and qubit number |
3.2.44. | Logical qubits and error correction |
3.2.45. | Introduction to quantum volume |
3.2.46. | Error rate and quantum volume |
3.2.47. | Square circuit tests for quantum volume |
3.2.48. | Critical appraisal of the importance of quantum volume |
3.2.49. | Algorithmic qubits: A new benchmarking metric? |
3.2.50. | Companies defining their own benchmarks |
3.2.51. | Operational speed and CLOPS (circuit layer operations per second) |
3.2.52. | Conclusions: determining what makes a good computer is hard, and a quantum computer even harder |
3.2.53. | The DiVincenzo criteria |
3.2.54. | IDTechEx - Quantum commercial readiness level (QCRL) |
3.2.55. | QCRL scale (1-5, commercial application focused) |
3.2.56. | QCRL scale (6-10, user-volume focused) |
3.3. | Quantum Computing: Applications |
3.3.1. | Summary of applications for quantum computing |
3.3.2. | Applications of quantum algorithms |
3.3.3. | Commercial examples of use-cases for quantum annealing |
3.3.4. | Value capture in quantum computing |
3.3.5. | Business Model Trends: Vertically Integrated vs. The Quantum 'Stack' |
3.3.6. | Overviewing early adopters of on-premises quantum computers |
3.3.7. | Partnerships forming now will shape the future of quantum computing for the financial sector |
3.3.8. | Most automotive players are pursuing quantum computing for battery chemistry |
3.3.9. | The automotive industry is yet to converge on a preferred qubit modality |
4. | QUANTUM SENSING |
4.1. | Quantum Sensing: Introduction |
4.1.1. | What are quantum sensors? |
4.1.2. | The quantum sensor market 'at a glance' |
4.1.3. | Quantum phenomena enable highly-sensitive quantum sensing |
4.1.4. | Key technology approaches to quantum sensing |
4.1.5. | Overview of quantum sensing technologies and applications |
4.1.6. | Quantum sensor industry market map |
4.2. | Quantum Sensing - Technologies: Atomic Clocks |
4.2.1. | Introduction to atomic clocks: High frequency oscillators for high accuracy clocks |
4.2.2. | Atomic clocks self-calibrate for clock drift |
4.2.3. | Chip Scale Atomic Clocks for portable precision time-keeping |
4.2.4. | Assured portable navigation and timing (PNT) is a key application for chip-scale atomic clocks |
4.2.5. | Comparing key players in atomic clock hardware development |
4.2.6. | Atomic Clocks: SWOT analysis |
4.2.7. | Atomic clocks: Conclusions and Outlook |
4.3. | Quantum Sensing - Technologies: Quantum Magnetic Field Sensors |
4.3.1. | Introduction to quantum magnetic field sensors |
4.3.2. | Classifying magnetic field sensor hardware |
4.3.3. | Operating principle of SQUIDs |
4.3.4. | Commercial applications and market opportunities for SQUIDs |
4.3.5. | SQUIDs: SWOT analysis |
4.3.6. | Operating principles of Optically Pumped Magnetometers (OPMs) |
4.3.7. | Applications of optically pumped magnetometers (OPMs) (1) |
4.3.8. | Comparing the technology approaches of key players developing miniaturized OPMs for healthcare |
4.3.9. | OPMs: SWOT analysis |
4.3.10. | Introduction to N-V center magnetic field sensors |
4.3.11. | Operating Principles of N-V Centers magnetic field sensors |
4.3.12. | Applications of N-V center magnetic field centers |
4.3.13. | Operating Principles of N-V Centers magnetic field sensors |
4.3.14. | Applications of N-V center magnetic field centers |
4.3.15. | Comparing key players in N-V center magnetic field sensor development |
4.3.16. | N-V Center Magnetic Field Sensors: SWOT analysis |
4.3.17. | Conclusions and Outlook: quantum magnetic field sensors |
4.4. | Quantum Sensing - Technologies: Quantum Gravimeters |
4.4.1. | Quantum gravimeters: Section overview |
4.4.2. | Operating principles of atomic interferometry-based quantum gravimeters |
4.4.3. | The main application for gravity sensors is for mapping utilities and buried assets |
4.4.4. | Comparing key players in quantum gravimeters |
4.4.5. | Quantum gravimeter development depends on collaboration between laser manufacturers, sensor OEMs and end-users |
4.4.6. | Quantum Gravimeters: SWOT analysis |
4.4.7. | Conclusions and outlook |
4.5. | Quantum Sensing - Technologies: Quantum Gyroscopes |
4.5.1. | Quantum gyroscopes: Chapter overview |
4.5.2. | Operating principles of atomic quantum gyroscopes |
4.5.3. | One key application for quantum gyroscopes is within small-satellite constellation navigation systems |
4.5.4. | Navigation in GNSS denied environments could be a key application for chip-scale quantum gyroscopes |
4.5.5. | Quantum gyroscope development depends on collaboration between laser manufacturers, sensor OEMs and end-users |
4.5.6. | Comparing key players in quantum gyroscopes |
4.5.7. | Quantum Gyroscopes: SWOT analysis |
4.5.8. | Conclusions and outlook |
5. | QUANTUM COMMUNICATIONS |
5.1. | Introduction |
5.1.1. | The quantum communication market 'at a glance' |
5.1.2. | Introduction to quantum communications |
5.1.3. | The quantum threat to data security |
5.1.4. | 'Hack Now Decrypt Later' (HNDL) and preparing for Q-Day/ Y2Q |
5.1.5. | The quantum hardware solution to data security |
5.2. | Quantum Communications: Software (PQC) |
5.2.1. | Introduction to Post Quantum Cryptography (PQC) |
5.2.2. | Cybercrime incidents are rising in frequency and cost - driving engagement with PQC solutions |
5.2.3. | Cryptographic transitions are slow, and engagement with PQC is encouraged now |
5.2.4. | Types of cryptography |
5.2.5. | NIST taking a lead rule in PQC standardization |
5.2.6. | The market for crypto-agility and encryption management tools is growing |
5.2.7. | Is there a case for backdoors into encryption? |
5.2.8. | SWOT Analysis of PQC |
5.3. | Quantum Communications: Hardware (QRNG and QKD) |
5.3.1. | Introduction to entropy-sources and true-randomness |
5.3.2. | What is the main value proposition of QRNG compared to incumbents? |
5.3.3. | Key players developing QRNG products segmented by hardware approach |
5.3.4. | Applications of quantum random number generators (QRNG) |
5.3.5. | SWOT analysis of quantum random number generator technology |
5.3.6. | Introduction to Quantum Key Distribution |
5.3.7. | How is quantum already impacting the future of encryption? |
5.3.8. | The basic principle of QKD uses 'observation' effects to identify eavesdroppers |
5.3.9. | An introduction to measuring single-qubit states |
5.3.10. | How can polarization and qubit states be used to securely distribute keys and the BB84 Protocol (1) |
5.3.11. | How can polarization and qubit states be used to securely distribute keys and the BB84 Protocol (2) |
5.3.12. | Why is QKD more secure than other key exchange mechanisms? |
5.3.13. | Overview of key players developing QKD technology (1) |
5.3.14. | Overview of key players developing QKD technology (2) |
5.3.15. | SWOT analysis of quantum key distribution technology |
5.3.16. | What is a quantum network? |
5.3.17. | China - the first to realize large scale quantum networks |
5.3.18. | China - focus now on quantum memories and metropolitan networks |
5.3.19. | Europe - a coordinated effort to build up quantum networking capacity within and between across all 27 member states |
5.3.20. | US - NSA and NIST focused on PQC solutions to network security |
5.3.21. | SWOT analysis of quantum networks |
6. | MATERIALS FOR QUANTUM TECHNOLOGY |
6.1. | Chapter Overview |
6.2. | Superconductors |
6.2.1. | Overview of superconductors in quantum technology |
6.2.2. | Critical temperature plays a key role in superconductor material choice for quantum technology |
6.2.3. | Critical material chain considerations for superconducting quantum computing |
6.2.4. | Overview of the superconductor value chain in quantum technology |
6.2.5. | Room temperature superconductors - and why they won't necessarily unlock the quantum technology market |
6.3. | Photonics, Silicon Photonics and Optical Components |
6.3.1. | Overview of photonics, silicon photonics and optics in quantum technology |
6.3.2. | Overview of material considerations for photonic integrated circuits (PICs) |
6.3.3. | Photonic computing demands better electro-optical materials, alternatives to standard silicon and warmer superconductors than niobium (1) |
6.3.4. | Photonic computing demands better electro-optical materials, alternatives to standard silicon and warmer superconductors than niobium (2) |
6.3.5. | VCSELs enable miniaturization of quantum sensors and components |
6.3.6. | Alkali azides used to overcome high-vacuum fabrication requirements of vapor cells for quantum sensing |
6.3.7. | An opportunity for better optical fiber and quantum interconnects materials |
6.3.8. | Opportunity for Single-photon avalanche diodes (SPADs) in quantum |
6.3.9. | Comparison of common photodetectors with SPADs |
6.4. | Nanomaterials (Graphene, CNTs, Diamond and MOFs) |
6.4.1. | Introduction to 2D Materials for Quantum Technology |
6.4.2. | Interest in TMD based quantum dots as single photon sources for quantum networking |
6.4.3. | Introduction to graphene membranes |
6.4.4. | Research interest in graphene membranes for RAM memory in quantum computers |
6.4.5. | 2.5D Materials pitches as solution to quantum information storage |
6.4.6. | Single Walled Carbon Nanotubes for Quantum Computers and C12 |
6.4.7. | Long term potential in the quantum materials market for Boron Nitride Nanotubes (BNNT) |
6.4.8. | Snapshot of market readiness levels of CNT applications - quantum only at PoC stage |
6.4.9. | Overview of diamond in quantum technology |
6.4.10. | Material advantages and disadvantages of diamond for quantum applications |
6.4.11. | Element Six are leaders in scaling up manufacturing of diamond for quantum applications using chemical vapor deposition (CVD) |
6.4.12. | Overview of the synthetic diamond value chain in quantum technology |
6.4.13. | Chromophore integrated MOFs can stabilize qubits at room temperature for quantum computing |
6.4.14. | Conclusions and Outlook: Summary of Material Opportunities in Quantum Technology |
7. | MARKET FORECASTS |
7.1. | Quantum Technology: Forecasting Methodology Overview |
7.2. | Quantum Technology Market Forecasts (Annual Revenue, USD Million) |
7.3. | Optimistic scenario for smart-phone QRNG |
8. | COMPANY PROFILES |
8.1. | Aegiq |
8.2. | Alea Quantum |
8.3. | AQuRand |
8.4. | CEA Leti (Quantum Technologies) |
8.5. | Cerca Magnetics |
8.6. | Classiq |
8.7. | Cold Quanta |
8.8. | Crocus Technology |
8.9. | Crypta Labs |
8.10. | Diraq |
8.11. | DocuSign |
8.12. | Element Six (Quantum Technologies) |
8.13. | Fraunhofer FEP |
8.14. | Gigajot |
8.15. | Hitachi Cambridge Laboratory (HCL) |
8.16. | IBM (Quantum Computing) |
8.17. | Infineon (Quantum Algorithms) |
8.18. | Infleqtion (Cold Quanta) |
8.19. | Menlo Systems Inc |
8.20. | NEC Corp: Carbon Nanohorns |
8.21. | nu quantum |
8.22. | ORCA Computing |
8.23. | Ordnance Survey |
8.24. | Oxford Ionics |
8.25. | PacketLight Networks |
8.26. | Powerlase Ltd |
8.27. | Q.ANT |
8.28. | Quantinuum |
8.29. | QuantrolOx |
8.30. | Quantum Computing Inc |
8.31. | Quantum Dice |
8.32. | Quantum Motion |
8.33. | Quantum Technologies |
8.34. | Quantum Valley Ideas Lab |
8.35. | Quantum XChange |
8.36. | QuEra |
8.37. | QuiX Quantum |
8.38. | QuSecure |
8.39. | Quside |
8.40. | Randaemon |
8.41. | River Lane |
8.42. | SEEQC |
8.43. | SemiWise |
8.44. | Senko Advance Components Ltd |
8.45. | Siquance |
8.46. | sureCore Ltd |
8.47. | Toshiba (Quantum Technology Center) |
8.48. | TriEye |
8.49. | VTT Manufacturing (Quantum Technologies) |
8.50. | XeedQ |