AQSolotl provides turnkey quantum computing systems that combine error‑corrected, scalable quantum processors with classical CPUs in a hybrid architecture called Chronos‑Q.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises face computational bottlenecks when tackling complex simulations, optimization, and machine‑learning tasks that exceed the capabilities of classical processors, yet quantum hardware remains fragile, difficult to integrate, and costly to operate.
Solution
AQSolotl delivers turnkey quantum computing systems that combine error‑corrected, scalable quantum processors with classical computing stability. Their Chronos‑Q platform integrates Quantum Processing Units (QPU) and CPUs in a hybrid architecture, providing real‑time feedback, low‑latency qubit control, and seamless coordination between quantum and classical workloads. The solution includes modular hardware, upgradable firmware, and a Python‑based API that enables businesses to embed quantum acceleration into existing IT environments without extensive expertise. Comprehensive services—from initial consultation through deployment and post‑purchase support—ensure that organizations can adopt quantum technology reliably and cost‑effectively.
Target Audience
Primary customers are enterprises in energy, finance, pharmaceuticals, and advanced manufacturing that require high‑performance computing for simulation, optimization, or machine‑learning tasks, as well as research labs seeking scalable quantum hardware integrated with existing IT infrastructure.
Features
- Hybrid QPU/CPU architecture that enables coordinated quantum‑classical computation for AI, ML, and advanced simulation workloads
- Scalable, modular hardware design with up to 16 qubit XY drive lines and 32 flux bias channels, supporting expansion as needs grow
- Real‑time, low‑latency feedback and precise qubit state detection for high‑fidelity operations
- Integrated error‑correction algorithms and noise‑management systems to improve reliability of fragile quantum states
- Onboard Linux networking and Python driver/API for experiment‑level control and circuit‑level integration
- Turnkey deployment model with end‑to‑end consulting, installation, and ongoing technical support
- Flexible, modular pricing structure to accommodate a range of industry budgets and scales