FAQ: Quantum Art's 10X Circuit Depth Compression and 30% Error Reduction Using Multi-Qubit Gates and NVIDIA CUDA-Q

What is the main breakthrough announced by Quantum Art?

Quantum Art achieved 10X compression in circuit depth and a 30% reduction in error rates by compiling circuits with its all-to-all connected multi-qubit gates using NVIDIA’s CUDA-Q platform.

How does Quantum Art achieve this circuit compression and error reduction?

The company’s general-purpose compiler automatically optimizes input circuits and substitutes standard operations with efficient multi-qubit gates, while their fully programmable, all-to-all connected multi-qubit gates and advanced compiler enable circuits at smaller depth.

What role does NVIDIA play in this achievement?

NVIDIA provided the CUDA-Q quantum-classical integration framework and accelerated computing platform, which was used to verify the improvements in simulation and operate NVIDIA AI infrastructure for the compilation verification.

Why is this breakthrough significant for quantum computing?

This achievement enables faster runtime and higher performance, shortening the path to commercial applications at scale and supports Quantum Art’s long-term goal of fault tolerant, commercially viable quantum computing.

What technology does Quantum Art use for its quantum computers?

Quantum Art develops full-stack quantum computers based on trapped-ion qubits and a proprietary scale-up architecture with multi-core quantum processors.

When was this achievement announced and verified?

The announcement was made on October 29, 2025, and the improvements were verified in simulation on NVIDIA CUDA-Q, building on CUDA-Q integration announced earlier in the year.

Who are the key people involved in this development?

Dr. Tal David, CEO of Quantum Art, and Dr. Amit Ben-Kish, CTO and co-founder, led the Quantum Art team, while Sam Stanwyck, Group Product Manager for quantum computing at NVIDIA, represented NVIDIA’s involvement.

Where is Quantum Art based and what is their focus?

Quantum Art is headquartered in Ness Ziona, Israel, and specializes in developing scalable quantum computers based on trapped-ion qubits with multi-core quantum processors.

What are the practical benefits of this circuit compression?

The 10X circuit depth compression and 30% error reduction enable substantially faster runtime, higher performance, and consistent order-of-magnitude compression with substantial performance gains for quantum circuits.

Where can I find more information about Quantum Art and this achievement?

More information is available at Quantum Art’s website and specific details about this achievement can be found at their resources page.