Insider Brief
- Quantum Circuits has integrated NVIDIA’s CUDA-Q programming capabilities into its Aqumen software suite, enabling hybrid quantum-classical workflows using GPUs and quantum processors.
- The collaboration introduces the first integration of CUDA-Q with a dual-rail programming environment featuring error detection, supporting efficient prototyping on AquSim and future deployment on Aqumen Seeker QPUs.
- Quantum Circuits’ dual-rail qubits with built-in error detection aim to accelerate scalability and fault tolerance, advancing commercial readiness in quantum computing.
PRESS RELEASE — Quantum Circuits, Inc., announced work with NVIDIA technology integrating NVIDIA CUDA-Q programming capabilities into its Aqumen software suite. The integration provides Aqumen users the opportunity to create and simulate applications in a programming environment leveraging quantum computers and GPUs to run hybrid workflows.
As the first integration of CUDA-Q with any dual-rail programming environment utilizing error detection, this milestone lays the groundwork for providing users with novel and efficient quantum workflows using the latest high-performance computing techniques.
To start, users can prototype and test CUDA-Q applications on AquSim, Quantum Circuits’ simulator, as a precursor to running on the company’s full-stack quantum computing systems (QPUs). AquSim provides tools to prototype and test quantum applications before they are deployed in real-life settings. In future releases, CUDA-Q applications will run on Aqumen Seeker and new QPU generations, which feature industry-first dual-rail qubits that are much more powerful than single-qubit systems. The dual-rail qubits have built-in error detection for a more efficient path to scalability, a cutting-edge innovation improving the performance and timeline to fault tolerance and commercial readiness.
“Our work with NVIDIA accelerates the path to commercial-ready quantum computing,” said Ray Smets, CEO of Quantum Circuits. “We want to introduce enterprises and HPC application developers to a new way to integrate quantum compute and CUDA-Q applications enhanced by our novel dual-rail qubit with built-in error detection. These applications will run on our QPU, Aqumen Seeker, the world’s first system to offer error detection that dramatically improves quantum calculation with industry-leading fidelity and superconducting execution speed.”
“Hybrid quantum-classical systems are charting the path to useful quantum applications, and CUDA-Q is leading the charge”, said Tim Costa, senior director of Quantum and CUDA-X at NVIDIA. “Our work with Quantum Circuits combines the power of accelerated computing with their quantum processors, enabling researchers to develop hybrid applications that leverage dual-rail superconducting qubits for the first time”.
The integration with CUDA-Q allows Aqumen users to start writing and running quantum applications immediately. Core CUDA-Q programming features provide all the essential gates for universal quantum computing and feedforward for executing conditional statements in real time.
Those who are interested in building and running CUDA-Q applications on Quantum Circuits can participate in the company’s strategic quantum release program.
