Quantum Art has integrated its Logical Qubit Compiler with NVIDIA’s CUDA-Q hybrid quantum-classical platform, enabling developers to orchestrate applications across QPUs, CPUs, and GPUs. The collaboration leverages Quantum Art’s proprietary multi-qubit gate and multi-core trapped-ion architecture alongside NVIDIA’s quantum-classical acceleration framework to enhance scalability and reduce quantum circuit depth.
The integrated platform is optimized for synthesizing quantum circuits at the ~200 logical qubit scale, a range relevant to emerging commercial workloads. Quantum Art reports early improvements in Quantum Volume performance—up to a 25% gain in the log-scale metric—due to shallower circuit generation and enhanced multi-core compiler capabilities. System-level benchmarks will track reductions in circuit depth, T-gate count, and core reconfiguration frequency.
The collaboration aligns with Quantum Art’s broader roadmap toward scalable, commercially useful quantum systems. Its trapped-ion architecture supports dynamically reconfigurable multi-core processing, which is seen as a potential path to mitigate the bottlenecks of current monolithic architectures. CUDA-Q integration provides an industry-standard development stack to accelerate adoption and performance tuning.
By combining logical compiler optimization with GPU-accelerated orchestration, the partnership aims to support practical use cases in areas such as materials simulation, logistics, and energy optimization. The integration reflects a convergence of quantum hardware innovation and high-performance computing tools, underscoring the strategic value of hybrid system architectures.
Read the full announcement here.
June 11, 2025
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