Quantum Circuits has announced a collaboration with NVIDIA and Supermicro to deploy NVIDIA Grace Hopper Superchips as part of an initiative to accelerate quantum algorithm development and hybrid quantum-classical workflows. Installed at Quantum Circuits’ headquarters in New Haven, the systems will support a research partnership with the Yale Quantum Institute (YQI) and QuantumCT. The integration centers around leveraging Quantum Circuits’ Dual-Rail Cavity Qubit (DRQ) technology and AquSim simulator with NVIDIA’s CUDA-Q programming platform, enabling high-throughput development and testing of fault-tolerant quantum computing architectures.
The collaboration’s initial focus is quantum error correction (QEC), a primary challenge in the quantum computing field. Rather than relying on conventional scaling methods that require thousands of physical qubits per logical qubit, Quantum Circuits aims to improve efficiency with its DRQ technology, which includes built-in error detection at the hardware level. According to the company, this approach reduces the required overhead by at least an order of magnitude, creating a pathway toward practical systems based on tens of thousands of qubits rather than millions. The Grace Hopper Superchips’ CPU-GPU architecture will allow the team to accelerate DRQ error rate simulations and refine QEC code design.
Longer-term, Quantum Circuits plans to integrate the Grace Hopper systems into its product offerings as part of its full-stack quantum computing systems. The joint initiative underscores the increasing role of hybrid HPC-quantum platforms, combining advanced simulation capabilities with purpose-built quantum control stacks. As CUDA-Q evolves alongside Quantum Circuits’ QCDL API, the company intends to explore deeper software integration and scalability planning for future DRQ-based architectures targeting enterprise and scientific workloads.
Read the full announcement from Quantum Circuits here.
May 20, 2025
