| 1. |
EXECUTIVE SUMMARY |
| 1.1. |
The quantum sensor market ‘at a glance’ |
| 1.2. |
Quantum sensors: Analyst viewpoint |
| 1.3. |
What are quantum sensors? |
| 1.4. |
Overview of quantum sensing technologies and applications |
| 1.5. |
The value proposition of quantum sensors varies by hardware approach, application and competition |
| 1.6. |
Comparing the scale of long-term markets (in volume) for key quantum sensing technologies |
| 1.7. |
Key industries for quantum sensors |
| 1.8. |
Why is navigation the most likely mass-market application for quantum sensors? |
| 1.9. |
Case studies: Quantum navigation for land, sea, and air |
| 1.10. |
Investment in quantum sensing is growing |
| 1.11. |
Quantum sensor industry market map |
| 1.12. |
The quantum sensors market will transition from ’emerging’ to ‘growing’ |
| 1.13. |
Scaling up manufacture of miniaturized physics packages is a key challenge for chip-scale quantum sensors |
| 1.14. |
Specialized components for atomic and diamond-based quantum sensing |
| 1.15. |
Total quantum sensor market – annual revenue 2026-2046 |
| 1.16. |
Quantum sensor market – Key forecasting results (1) |
| 1.17. |
Quantum sensor market – Key forecasting results (2) |
| 1.18. |
Identifying medium term opportunities in the quantum sensor market: Market size vs CAGR (2026-2036) |
| 1.19. |
Identifying long term opportunities in the quantum sensor market: Market size vs CAGR (2036-2046) |
| 1.20. |
Quantum sensor market – Granular annual revenue (excluding TMR) 2026-2046 |
| 1.21. |
Atomic clocks: Sector roadmap |
| 1.22. |
Quantum magnetometers: Sector roadmap |
| 1.23. |
Quantum gravimeters: Sector roadmap |
| 1.24. |
Inertial quantum sensors: Sector roadmap |
| 1.25. |
Quantum RF sensors: Sector roadmap |
| 1.26. |
Single photon detectors: Sector roadmap |
| 1.27. |
Access More With an IDTechEx Subscription |
| 2. |
INTRODUCTION TO QUANTUM SENSORS |
| 2.1. |
Market Overview |
| 2.1.1. |
What are quantum sensors? |
| 2.1.2. |
Classical vs Quantum |
| 2.1.3. |
Quantum phenomena enable highly-sensitive quantum sensing |
| 2.1.4. |
Key technology platforms for quantum sensing |
| 2.1.5. |
Overview of quantum sensing technologies and applications |
| 2.1.6. |
The value proposition of quantum sensors varies by hardware approach, application and competition |
| 2.1.7. |
The quantum sensors market will transition from ’emerging’ to ‘growing’ |
| 2.1.8. |
Investment in quantum sensing is growing |
| 2.1.9. |
Scaling up manufacture of miniaturized physics packages is a key challenge for chip-scale quantum sensors |
| 2.1.10. |
The use of ‘quantum sensor’ in marketing |
| 2.2. |
Key Industries & Applications |
| 2.2.1. |
Key industries for quantum sensors |
| 2.2.2. |
Highlighting the key applications for quantum sensors |
| 2.2.3. |
Why is navigation the most likely mass-market application for quantum sensors? |
| 2.2.4. |
Case studies: Quantum navigation for land, sea, and air |
| 2.2.5. |
Recommendations for the development of commercial quantum sensors |
| 3. |
ATOMIC CLOCKS |
| 3.1. |
Atomic Clocks: Chapter Overview Atomic Clocks: Technology Overview |
| 3.2. |
Introduction: High frequency oscillators for high accuracy clocks |
| 3.3. |
Challenges with quartz clocks |
| 3.4. |
Hyperfine energy levels and the cesium time standard |
| 3.5. |
Atomic clocks self-calibrate for clock drift |
| 3.6. |
Identifying disruptive atomic-clock technologies (1) |
| 3.7. |
Identifying disruptive atomic-clock technologies (2) |
| 3.8. |
Optical atomic clocks |
| 3.9. |
Frequency combs for optical clocks and optical quantum systems |
| 3.10. |
New modalities enhance fractional uncertainty of atomic clocks |
| 3.11. |
Chip Scale Atomic Clocks for portable precision time-keeping |
| 3.12. |
Assured positioning, navigation, and timing (PNT) is a key application for chip-scale atomic clocks |
| 3.13. |
Rack-sized clocks offer high performance in a more compact and portable form-factor |
| 3.14. |
A challenge remains to miniaturize atomic clocks without compromising on accuracy, stability and cost |
| 3.15. |
Atomic Clocks: Key Players |
| 3.16. |
Comparing key players in atomic clock hardware development |
| 3.17. |
Key players: Lab-based microwave atomic clocks |
| 3.18. |
Chip-scale atomic clock player case study: Microsemi and Teledyne |
| 3.19. |
Atomic Clocks: Sector Summary |
| 3.20. |
Atomic clocks: End users and addressable markets |
| 3.21. |
Atomic clocks: Sector roadmap |
| 3.22. |
Atomic Clocks: SWOT analysis |
| 3.23. |
Atomic clocks: Conclusions and outlook |
| 4. |
MAGNETIC FIELD SENSORS |
| 4.1.1. |
Quantum magnetic field sensors: chapter overview |
| 4.1.2. |
Introduction: Measuring magnetic fields |
| 4.1.3. |
Sensitivity is key to the value proposition for quantum magnetic field sensors |
| 4.1.4. |
High-sensitivity applications in healthcare and quantum computing are key market opportunities for quantum magnetic field sensors |
| 4.1.5. |
Classifying magnetic field sensor hardware |
| 4.2. |
Superconducting Quantum Interference Devices (SQUIDs) – Technology, Applications and Key Players |
| 4.2.1. |
Applications of SQUIDs |
| 4.2.2. |
Operating principle of SQUIDs |
| 4.2.3. |
SQUID fabrication services are offered by specialist foundries |
| 4.2.4. |
Commercial applications and market opportunities for SQUIDs |
| 4.2.5. |
Comparing key players with SQUID intellectual property (IP) |
| 4.2.6. |
SQUIDs: SWOT analysis |
| 4.3. |
Optically Pumped Magnetometers (OPMs) – Technology, Applications, and Key Players |
| 4.3.1. |
Operating principles of Optically Pumped Magnetometers (OPMs) |
| 4.3.2. |
Applications of optically pumped magnetometers (OPMs) |
| 4.3.3. |
Miniaturizing OPMs for emerging applications |
| 4.3.4. |
OPMs as a navigation alternative to INS |
| 4.3.5. |
MEMS manufacturing techniques and non-magnetic sensor packages key for miniaturized optically pumped magnetometers |
| 4.3.6. |
Comparing key players with OPM intellectual property (IP) |
| 4.3.7. |
Comparing the technology approaches of key players developing miniaturized OPMs for healthcare |
| 4.3.8. |
OPMs: SWOT analysis |
| 4.4. |
Tunneling Magneto Resistance Sensors (TMRs) – Technology, Applications, and Key Players |
| 4.4.1. |
Introduction to tunneling magnetoresistance sensors (TMR) |
| 4.4.2. |
Operating principle and advantages of tunneling magnetoresistance sensors (TMR) |
| 4.4.3. |
Comparing key players with TMR intellectual property (IP) |
| 4.4.4. |
Commercial applications and market opportunities for TMRs |
| 4.4.5. |
TMRs: SWOT analysis |
| 4.5. |
Nitrogen Vacancy in Diamond (NV Centers) – Technology, Applications, and Key Players |
| 4.5.1. |
Introduction to NV center magnetic field sensors |
| 4.5.2. |
Operating Principles of NV center magnetic field sensors |
| 4.5.3. |
A range of potential applications of NV center magnetic field sensors |
| 4.5.4. |
Advantages of NV diamonds and their applications |
| 4.5.5. |
NV diamond microscopes for electromagnetic field mapping |
| 4.5.6. |
Overview of the synthetic diamond value chain in quantum sensing |
| 4.5.7. |
Quantum grade diamond benchmarked |
| 4.5.8. |
N-V Center Magnetic Field Sensors: SWOT analysis |
| 4.6. |
Quantum Magnetic Field Sensors: Sector Summary |
| 4.6.1. |
Comparing market opportunities for quantum magnetic field sensors |
| 4.6.2. |
Comparing market opportunities for quantum magnetic field sensors |
| 4.6.3. |
Assessing the performance of magnetic field sensors |
| 4.6.4. |
Comparing minimum detectable field and SWaP characteristics |
| 4.6.5. |
Quantum magnetometers: Sector roadmap |
| 4.6.6. |
Conclusions and outlook |
| 5. |
GRAVIMETERS |
| 5.1.1. |
Quantum gravimeters: Chapter overview |
| 5.2. |
Quantum Gravimeters: Technologies, Applications and Key Players |
| 5.2.1. |
The main application for gravity sensors is for mapping utilities and buried assets |
| 5.2.2. |
Operating principles of atomic interferometry-based quantum gravimeters |
| 5.2.3. |
Comparing quantum gravity sensing with incumbent technologies for underground mapping |
| 5.2.4. |
Comparing key players in quantum gravimeters |
| 5.2.5. |
Quantum gravimeter development depends on collaboration between laser manufacturers, sensor OEMs and end-users |
| 5.3. |
Quantum gravimeters: Sector Summary |
| 5.3.1. |
Quantum Gravimeters: SWOT analysis |
| 5.3.2. |
Quantum gravimeters: Sector roadmap |
| 5.3.3. |
Conclusions and outlook |
| 6. |
INERTIAL QUANTUM SENSORS (GYROSCOPES & ACCELEROMETERS) |
| 6.1. |
Inertial Quantum Sensors: Introduction and Applications |
| 6.1.1. |
Quantum inertial sensors: Chapter overview |
| 6.1.2. |
Inertial Measurement Units (IMUs): An introduction |
| 6.1.3. |
Navigation by Dead Reckoning |
| 6.1.4. |
Drift Accumulation |
| 6.1.5. |
IMU key applications |
| 6.1.6. |
Key application for inertial quantum sensors in small-satellite constellation navigation systems |
| 6.1.7. |
Navigation in GNSS denied environments could be a future application for chip-scale inertial quantum sensors |
| 6.1.8. |
Next-generation MEMS accelerometers and gyroscopes compete with quantum sensors |
| 6.2. |
Quantum Gyroscopes: Technologies, Developments and Key Players |
| 6.2.1. |
Operating principles of atomic quantum gyroscopes |
| 6.2.2. |
MEMS manufacturing processes can miniaturize atomic gyroscope technology for higher volume applications |
| 6.2.3. |
Gyroscope technology landscape |
| 6.2.4. |
Comparing quantum gyroscopes with MEMS gyroscopes and optical gyroscopes |
| 6.2.5. |
Comparing key players with atomic gyroscope intellectual property (IP) |
| 6.2.6. |
Quantum gyroscope development depends on collaboration between laser manufacturers, sensor OEMs and end-users |
| 6.2.7. |
Comparing key players in quantum gyroscopes |
| 6.2.8. |
Quantum Gyroscopes: SWOT analysis |
| 6.3. |
Quantum Accelerometers: Technologies, Developments and Key Players |
| 6.3.1. |
Operating principles of quantum accelerometers |
| 6.3.2. |
Grating MOTs enable the miniaturization of cold atom quantum sensors |
| 6.3.3. |
Accelerometer application landscape |
| 6.3.4. |
Comparing key players in quantum accelerometers |
| 6.3.5. |
Quantum Accelerometers: SWOT Analysis |
| 6.3.6. |
Inertial Quantum Sensors: Sector Summary |
| 6.4. |
Inertial Quantum Sensors: Sector roadmap |
| 6.4.1. |
Conclusions and outlook |
| 7. |
RADIO FREQUENCY (RF) SENSORS |
| 7.1.1. |
Quantum RF sensors overcome fundamental challenges of their classical counterparts |
| 7.1.2. |
Value proposition of quantum RF sensors |
| 7.1.3. |
Commercial use cases for quantum RF sensors |
| 7.1.4. |
Quantum RF sensors: Size and cost development trends |
| 7.1.5. |
Overview of types of quantum RF sensors |
| 7.2. |
Rydberg Atom Electric Field Sensors and RF Receivers |
| 7.2.1. |
Principles of Rydberg atoms: Enabling electric field sensing |
| 7.2.2. |
Principles of Rydberg RF sensing: EIT spectroscopy |
| 7.2.3. |
Rydberg RF receivers offer additional benefits including SI-traceability |
| 7.2.4. |
Rydberg RF to enable next-gen 5G communications |
| 7.2.5. |
Commercial Rydberg Radio: Infleqtion, Rydberg Technologies and TZH Quantum Tech |
| 7.2.6. |
Metrology and over-the-air testing offers a near term commercial use for Rydberg RF |
| 7.2.7. |
Top patent holders on Rydberg RF sensors/receivers |
| 7.2.8. |
Research institutes & China leading patents |
| 7.2.9. |
SWOT analysis: Rydberg atom RF sensors |
| 7.3. |
Nitrogen-Vacancy Centre Electric Field Sensors and RF Receivers |
| 7.3.1. |
Principles of NV center RF receivers |
| 7.3.2. |
NV diamonds as radio frequency analysers |
| 7.3.3. |
Advantages translate into potential applications |
| 7.3.4. |
EU-backed AMADEUS project leading commercial NV sensor development |
| 7.3.5. |
Current challenges for NV center electric field and RF sensors – overshadowed by magnetic field sensing? |
| 7.3.6. |
Quantum grade diamond benchmarked |
| 7.3.7. |
SWOT analysis: NV diamond electric field sensors and RF receivers |
| 7.4. |
Quantum RF Sensors: Sector Summary |
| 7.4.1. |
Summary of the current market landscape for quantum RF sensors |
| 7.4.2. |
Quantum RF sensors: Sector roadmap |
| 7.4.3. |
Conclusions and Outlook: Quantum Radio Frequency Field Sensors |
| 8. |
SINGLE PHOTON DETECTORS AND QUANTUM IMAGING |
| 8.1.1. |
Section overview: Single photon detectors and quantum imaging |
| 8.1.2. |
Section overview: Contents |
| 8.1.3. |
Single photon imaging and quantum imaging – 3 key trends |
| 8.2. |
Single Photon Detectors |
| 8.2.1. |
Introduction to single photon detectors |
| 8.2.2. |
Classification of single photon detectors in this report |
| 8.3. |
Semiconductor Single Photon Detectors |
| 8.4. |
Background and Context |
| 8.4.1. |
Introduction to semiconductor photon detectors |
| 8.4.2. |
Operating principles of SPADs: Avalanche photodiode (APD) basics |
| 8.4.3. |
Operating principles of single-photon avalanche diodes (SPADs) |
| 8.4.4. |
Arrays of SPADs in series can form silicon photomultipliers (SiPMs) as a solid-state alternative to traditional PMTs |
| 8.4.5. |
Comparison of SPAD/SiPM to established photodiodes |
| 8.5. |
Next generation SPADs |
| 8.5.1. |
Innovation in the next generation of SPADs |
| 8.5.2. |
Key players and innovators in the next generation of SPADs |
| 8.5.3. |
Applications of SPADs formed in a trade-off of resolution and timing performance |
| 8.5.4. |
Development trends for groups of key SPAD players |
| 8.5.5. |
Advanced semiconductor packaging techniques enabling higher pixel counts and timing functionality for SPAD arrays |
| 8.5.6. |
Case Study: Camera giants Canon and Sony developing high-res SPAD arrays for low-light imaging & LiDAR |
| 8.5.7. |
Alternative semiconductor SPADs unlock infrared wavelengths beyond the range of silicon (1) |
| 8.5.8. |
Alternative semiconductor SPADs unlock infrared wavelengths beyond the range of silicon (2) |
| 8.5.9. |
Use of SPADs with TCSPC enables picosecond precision bioimaging and single photon LiDAR |
| 8.5.10. |
High-performance timing resolution with SWIR SPAD arrays enables greenhouse gas LiDAR |
| 8.5.11. |
TCSPC SPAD LiDAR in underwater imaging |
| 8.5.12. |
Bioimaging applications of SPADs |
| 8.5.13. |
Competition or cooperation for SPADs and SNSPDs in quantum communications and computing? |
| 8.5.14. |
Emerging SPADs: SWOT analysis |
| 8.6. |
Superconducting single photon detectors |
| 8.7. |
Superconducting nanowire single photon detector (SNSPD) |
| 8.7.1. |
Superconducting nanowire single photon detectors (SNSPDs) |
| 8.7.2. |
SNSPD applications must value performance highly enough to justify the bulk/cost of cryogenics |
| 8.7.3. |
Research in scaling SNSPD arrays beyond kilopixel |
| 8.7.4. |
Advancements in superconducting materials drives SNSPD development |
| 8.7.5. |
Comparison of commercial SNSPD players |
| 8.7.6. |
SWOT analysis: Superconducting nanowire single photon detectors (SNSPDs) |
| 8.8. |
Kinetic inductance detector (KID) and transition edge sensor (TES) |
| 8.8.1. |
Kinetic Inductance Detectors (KIDs) |
| 8.8.2. |
Transition edge sensors (TES) |
| 8.8.3. |
How have SNSPDs gained traction while KIDs and TESs remain in research? |
| 8.9. |
Single photon detectors: Summary |
| 8.9.1. |
Comparison of single photon detector technology |
| 8.9.2. |
Single photon detector roadmap |
| 8.9.3. |
3 key takeaways for single photon detectors |
| 8.10. |
Quantum Imaging |
| 8.10.1. |
Introduction to quantum imaging |
| 8.10.2. |
Quantum entanglement: Enabling quantum radar and ghost imaging |
| 8.10.3. |
Introduction to ghost imaging |
| 8.10.4. |
EU FastGhost project leads commercial development of ghost imaging |
| 8.10.5. |
Nonlinear interferometry (quantum holography) |
| 8.10.6. |
QUANCER project developing quantum holography for cancer detection |
| 8.10.7. |
Digistain developing mid-IR nonlinear interferometry for cancer detection |
| 8.10.8. |
Quantum imaging for glucose monitoring is in the early stages of commercialization |
| 8.10.9. |
Quantum radar |
| 8.10.10. |
General advantages of quantum imaging |
| 8.10.11. |
Quantum particle sensors could probe more information using superposition states of light |
| 8.10.12. |
SWOT analysis: Quantum imaging |
| 8.10.13. |
3 key takeaways for quantum imaging |
| 9. |
COMPONENTS FOR QUANTUM SENSING |
| 9.1. |
Section overview: Components for quantum sensing |
| 9.2. |
Specialized components for atomic and diamond-based quantum sensing |
| 9.3. |
Key players in components for quantum sensing technologies |
| 9.4. |
Vapor cells: Background and context |
| 9.5. |
Innovation in commercial manufacture of vapor cells in quantum sensing |
| 9.6. |
Alkali azides used to overcome high-vacuum fabrication requirements of vapor cells for quantum sensing |
| 9.7. |
Comparing key players in chip-scale vapor cell development |
| 9.8. |
SWOT analysis: Miniaturized vapor cells |
| 9.9. |
VCSELs: Background and context |
| 9.10. |
VCSELs enable miniaturization of quantum sensors and components |
| 9.11. |
Comparing key players in VCSELs for quantum sensing |
| 9.12. |
SWOT analysis: VCSELs |
| 9.13. |
Specialized control electronics and optics packages needed to enable the high performance of quantum sensors |
| 9.14. |
Integrated photonic and semiconductor products for quantum are developing but not yet unlocking the mass market |
| 9.15. |
Hardware challenges for quantum to integrate into established photonics |
| 9.16. |
Roadmap for components in quantum sensing |
| 9.17. |
Roadmap for quantum sensing components and their applications |
| 10. |
MARKET FORECASTS |
| 10.1.1. |
Forecasting chapter overview |
| 10.1.2. |
Forecasting methodology overview |
| 10.1.3. |
Comparing the scale of long-term markets (in volume) for key quantum sensing technologies |
| 10.1.4. |
Total quantum sensor market – annual revenue 2026-2046 |
| 10.1.5. |
Quantum sensor market – Key forecasting results (1) |
| 10.1.6. |
Quantum sensor market – Key forecasting results (2) |
| 10.1.7. |
Identifying medium term opportunities in the quantum sensor market: Market size vs CAGR (2026-2036) |
| 10.1.8. |
Identifying long term opportunities in the quantum sensor market: Market size vs CAGR (2036-2046) |
| 10.1.9. |
Total quantum sensor market – Granular annual revenue 2026-2046 |
| 10.1.10. |
Quantum sensor market – Granular annual revenue (excluding TMR) 2026-2046 |
| 10.2. |
Atomic Clocks |
| 10.2.1. |
Overview of atomic clock market trends: Annual revenue forecast 2026-2046 |
| 10.2.2. |
Bench/rack-scale atomic clocks, annual sales volume forecast 2026-2046 |
| 10.2.3. |
Chip-scale atomic clocks, annual sales volume forecast 2026-2036 |
| 10.2.4. |
Chip-scale atomic clocks, annual sales volume forecast 2026-2046 |
| 10.2.5. |
Summary of market forecasts for atomic clock technology |
| 10.3. |
Quantum Magnetic Field Sensors |
| 10.3.1. |
Overview of quantum magnetic field sensor market trends |
| 10.3.2. |
Global car sales trends to impact the quantum sensor market long-term |
| 10.3.3. |
TMR sensors, annual sales volume forecast 2026-2046 |
| 10.3.4. |
TMR sensors, annual revenue forecast 2026-2046 |
| 10.3.5. |
SQUIDs, OPMs, and NVMs – Annual sales volume forecast 2026-2046 |
| 10.3.6. |
SQUIDs, OPMs, and NVMs – Annual sales volume forecast 2026-2046 |
| 10.3.7. |
Summary of market forecasts for quantum magnetic field sensor technology |
| 10.3.8. |
Inertial Quantum Sensors (Gyroscopes and Accelerometers) |
| 10.3.9. |
Annual revenue for quantum gyroscopes and accelerometers 2026-2046 |
| 10.4. |
Inertial quantum sensors, annual sales volume forecast 2026-2046 |
| 10.4.1. |
Key conclusions for quantum gyroscope & accelerometer forecasts |
| 10.5. |
Quantum Gravimeters |
| 10.5.1. |
Annual revenue for quantum gravimeters 2026-2046 |
| 10.5.2. |
Quantum gravimeters, annual sales volume forecast 2026-2046 |
| 10.5.3. |
Summary of key conclusions for quantum gravimeter technology forecasts |
| 10.6. |
Quantum RF Sensors |
| 10.6.1. |
Annual revenue for quantum RF sensors 2026-2046 |
| 10.6.2. |
Annual sales volume forecast for quantum RF sensors 2026-2046 |
| 10.7. |
Single Photon Detectors |
| 10.7.1. |
Annual revenue for single photon detectors 2026-2046 |
| 10.7.2. |
Annual sales volume forecast for single photon detectors 2026-2046 |
| 10.7.3. |
Analysis of single photon detector forecasts: photonic quantum computing |
| 11. |
COMPANY PROFILES |
| 11.1. |
Aegiq |
| 11.2. |
Artilux Inc |
| 11.3. |
Beyond Blood Diagnostics |
| 11.4. |
BT (Quantum Radio Research) |
| 11.5. |
CEA Leti (Quantum Technologies) |
| 11.6. |
Cerca Magnetics |
| 11.7. |
Covesion Ltd |
| 11.8. |
CPI EDB (Quantum Sensing) |
| 11.9. |
Crocus Technology |
| 11.10. |
Diatope |
| 11.11. |
Digistain (Quantum Sensing) |
| 11.12. |
Element Six (Quantum Technologies) |
| 11.13. |
Fraunhofer CAP |
| 11.14. |
ID Quantique (Single Photon Detectors) |
| 11.15. |
Infleqtion (Cold Quanta) |
| 11.16. |
Menlo Systems Inc |
| 11.17. |
Neuranics |
| 11.18. |
NIQS Technology Ltd |
| 11.19. |
Ordnance Survey |
| 11.20. |
Photon Force |
| 11.21. |
Polariton Technologies |
| 11.22. |
Powerlase Ltd |
| 11.23. |
PsiQuantum |
| 11.24. |
Q-CTRL (quantum navigation) |
| 11.25. |
Q.ANT |
| 11.26. |
Qingyuan Tianzhiheng Sensing Technology Co., Ltd |
| 11.27. |
QLM Technology: Methane-Sensing LiDAR |
| 11.28. |
Quantum Computing Inc |
| 11.29. |
Quantum Economic Development Consortium (QED-C) |
| 11.30. |
Quantum Technologies |
| 11.31. |
Quantum Valley Ideas Lab |
| 11.32. |
QuiX Quantum |
| 11.33. |
QZabre |
| 11.34. |
RobQuant |
| 11.35. |
Rydberg Technologies |
| 11.36. |
SandboxAQ (Quantum Sensing) |
| 11.37. |
SEEQC |
| 11.38. |
SemiWise |
| 11.39. |
Senko Advance Components Ltd |
| 11.40. |
Single Quantum |
| 11.41. |
sureCore Ltd |
| 11.42. |
TU Darmstadt (Quantum Imaging) |
| 11.43. |
VTT Manufacturing (Quantum Technologies) |
| 11.44. |
XeedQ |
