Yonatan Cohen

Quantum computation at useful scales requires tight integration between real-time quantum control systems and high-throughput classical accelerators. This work presents Quantum Machines’ vision for such integration that includes multiple latency regimes, and variegated classical resources. We detail the OPX1000 controller with dense pulse-level orchestration and integrated classical processing, and a CPU-GPU-QPU integration via NVIDIA DGX Quantum. We illustrate example of workflows enabled by this novel system, for optimization and large-scale calibration routines based on reinforcement learning, together with a quantum error correction decoding on classical accelerators. Together, these components define a practical roadmap to utility-grade, fault-tolerant quantum supercomputers grounded in hybrid control.