Chronos-Q
Combining the best of quantum and classical computing
AQSolotl’s quantum computing solution, bridging classical and quantum computing for complex problems with unprecedented speed and efficiency.
Real-World Applications:
Delivers a practical solution for tackling complex computational challenges and advancing the quantum revolution.
Core Capabilities:
Hybrid architecture
Integrates Quantum Processing Units (QPU) and Central Processing Units (CPU).
Future-proofed for scalability
Supports advanced AI and machine learning tasks ready for GPU acceleration.
Key Features
Scalability
and Flexibility
Combining flexible functionality with low price and compact size, Chronos-Q is built with maximum scalability in mind. The system allows organizations to expand their quantum capabilities as needed.
Precision and
Real-Time Feedback
With up to 16 channels for qubit manipulation and up to 32 additional channels for flux bias control. Chronos-Q delivers low latency, real-time feedback, and precise qubit state detection.
Quantum-Classical integration
Combining quantum and classical systems into a single high-performance engine, Chronos-Q delivers seamless QPU/CPU coordination, optimizing calculation speed and system stability.
Chronos-Q in action
Comments from customers
AQSolotl’s approach to quantum control addresses one of the key challenges in the field. By reducing system complexity and improving reliability, Chronos-Q makes advanced quantum experiments more accessible and practical.
Chronos-Q has been used for over four years within our advanced quantum processor development platform. Its reliability and control capabilities have played a key role in supporting the development and testing of next-generation quantum systems.
Firmware Version |
Upgradable Firmware |
Qubit XY Drive Lines |
Qubit Readout Lines |
Flux Drive Lines |
AWG playback time (XY Drive) |
AWG playback time (Readout) |
AWG playback time (Flux Drive) |
Readout Multiplexed Frequencies |
State classification latency |
Active reset delay |
GHz Frequency Generation Method |
Size |
Hardware version |
Variation 1 | Variation 2 | Custom |
|---|---|---|
1-24H2 | 2-24H2 | C-24H2 |
YES | YES | YES |
12 | 6 | Up to 16 |
4 | 4 | combine |
16 | 12 | Up to 16 |
44 μs | 88 μs | Up to 88 μs |
2.8 μs | 2.8 μs | Up to 88 μs |
33 μs | 33 μs | Up to 133 μs |
16 Freq x 4 | 16 Freq x 4 | Up to 144 |
16 ns | 16 ns | 16 ns |
Best in class | Best in class | Best in class |
Nyquist Zone | Nyquist Zone | Nyquist Zone |
2U x 55 cm | 2U x 55 cm | 2U x 55 cm |
2 | 2 | 2 |
Software support |
|---|
Experiment level python driver |
Quantum Circuit level integration |
Onboard Linux for Networking |
Pulse level python API |
All Variation |
|---|
YES |
YES |
YES |
YES |
Advance feedback: Error correction |
Custom error correction algorithm |
Double the max amount of Flux Drive |
Spurious noise management system |
Higher density solution (3Ux55cm) |
Increasing Qubit XY playback time |
Hardware Version | Firmware Version |
|---|---|
2.0 and up | 26H1 and up |
2.0 and up | Custom |
2.1 and up | 25H1 and up |
2.2 and up | 25H1 and up |
3.0 and up | 25H1 and up |
2.0 and up | 25H2 and up |