Quantum Art Achieves 10X Circuit Compression with NVIDIA CUDA-Q

Quantum Art, an Israeli quantum computing company specializing in trapped-ion qubit technology, has announced a groundbreaking achievement in collaboration with NVIDIA, achieving 10X compression in circuit depth and a 30% reduction in error rates. This significant advancement was made possible by compiling circuits using Quantum Art's proprietary all-to-all connected multi-qubit gates on NVIDIA's accelerated computing infrastructure through the CUDA-Q platform. The company's innovative architecture and advanced compiler technology enable fully programmable multi-qubit gates that serve as critical resources for implementing circuits at smaller depths, resulting in faster runtime and higher performance while shortening the path to commercial quantum applications at scale.

The improvements build upon the CUDA-Q integration announced earlier this year and were verified through simulation on NVIDIA's quantum-classical integration framework. Quantum Art's general-purpose compiler automatically optimizes input circuits and substitutes standard operations with efficient multi-qubit gates, consistently delivering order-of-magnitude compression and substantial performance gains. According to Dr. Tal David, CEO of Quantum Art, programmable all-to-all multi-qubit gates represent a critical advancement supporting the company's long-term goal of achieving fault-tolerant, commercially viable quantum computing. The company's broader roadmap focuses on scaling multi-qubit gates and reconfigurable multi-core architectures to deliver increasingly powerful quantum systems.

Dr. Amit Ben-Kish, CTO and co-founder of Quantum Art, emphasized that their compilation technique demonstrates how multi-qubit gates and optimized compilers can compress quantum circuits by an order of magnitude while simultaneously improving performance. Sam Stanwyck, Group Product Manager for quantum computing at NVIDIA, highlighted that Quantum Art's use of CUDA-Q to achieve circuit depth compression and error reduction exemplifies how meaningful performance improvements are being realized by leveraging the latest advances in AI supercomputing. This breakthrough underscores the promise of combining Quantum Art's hardware-aware compilation with NVIDIA's accelerated computing ecosystem, marking a significant step forward in making quantum computing more practical and accessible for real-world applications.