Through Collaboration With NVIDIA, the Teams Optimized Hardware-Software Integration Using CUDA-Q and Quantum Art’s Multi-Qubit Gates, Scale-up Architecture and Advanced Compiler Technology

NESS ZIONA, ISRAEL - October 29, 2025 (NEWMEDIAWIRE) - Quantum Art, a developer of full-stack quantum computers based on trapped-ion qubits and a proprietary scale-up architecture, today announced achieving 10X compression in circuit depth and a 30% reduction in error rates by compiling circuits with its all-to-all connected multi-qubit gates on NVIDIA accelerated computing using the NVIDIA CUDA-Q platform.

Quantum Art’s fully programmable, all-to-all connected multi-qubit gates and advanced compiler, serve as a critical resource for implementing circuits at smaller depth, enabling faster runtime and higher performance, thereby shortening the path to commercial applications, at scale. The company’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.

The improvements, building on the CUDA-Q integration announced earlier this year, were verified [https://www.quantum-art.tech/resources/quantum-art-achieves-10x-circuit-depth-compression] in simulation on NVIDIA CUDA-Q quantum-classical integration framework, underscoring the promise of combining Quantum Art’s hardware-aware compilation with the NVIDIA accelerated computing ecosystem.

“We designed our architecture to deliver real performance gains,” said Dr. Tal David, CEO of Quantum Art. "Programmable all to all multi qubit gates are a critical advancement that supports our long-term goal of fault tolerant, commercially viable quantum computing."

“Our compilation technique demonstrates how our multi-qubit gates and optimized compilers can compress quantum circuits by an order of magnitude while simultaneously improving performance by 30%,” said Dr. Amit Ben-Kish, CTO and co-founder of Quantum Art. “The general-purpose compiler optimizes very large quantum circuits with few multi-qubit gates. This compilation is verified by using the NVIDIA CUDA-Q platform to operate NVIDIA AI infrastructure.”

“By allowing researchers to draw on accelerated computing for their work, NVIDIA CUDA-Q is enabling next-generation breakthroughs in quantum computing,” said Sam Stanwyck, Group Product Manager for quantum computing at NVIDIA. “Quantum Art’s use of CUDA-Q to achieve circuit depth compression and error reduction is a clear example of how meaningful performance improvements are being realized by drawing on the latest advances in AI supercomputing.”

This breakthrough further validates and aligns with Quantum Art’s broader roadmap, which centers on scaling multi-qubit gates and reconfigurable multi-core architectures to deliver increasingly powerful quantum systems.

About Quantum Art

Quantum Art Ltd., headquartered in Ness Ziona, Israel, specializes in the development of scalable quantum computers based on trapped-ion qubits. Quantum Art's innovative architecture enables multi-core quantum processors with unparalleled performance and efficiency. For more information, visit https://www.quantum-art.tech/

Quantum Art Media Contact
Kyle Porter
EVP-Managing Director
Virgo Public Relations
Quantum@virgo-pr.com
212.584.4289

View the original release on www.newmediawire.com

This contant was orignally distributed by NewMediaWire. Blockchain Registration, Verification & Enhancement provided by NewsRamp™. The source URL for this press release is Quantum Art Achieves 10X Circuit Depth Compression and 30% Error Reduction Using Multi-Qubit Gates and NVIDIA CUDA-Q Platform.