Quantum Art and NVIDIA Advance Scalable Quantum Computing with Compiler Integration

Quantum Art, an Israeli developer of trapped-ion quantum computers, has integrated its logical-qubit compiler with the NVIDIA CUDA-Q hybrid quantum-classical platform, aiming to significantly enhance the performance and scalability of quantum computing applications. The collaboration, announced on 11 June 2025, pairs Quantum Art’s compiler – optimised for low circuit depth and utilising a unique multi-core architecture – with NVIDIA’s expertise in multi-core orchestration and developer tools. This integration seeks to address a critical challenge in the field: scaling quantum systems to the hundreds or even millions of qubits necessary for delivering commercial value and achieving quantum advantage in areas such as materials science and logistics. Initial results indicate potential improvements in quantum volume and circuit efficiency, paving the way for more complex and impactful quantum computations.

Compiler and Platform Integration

Quantum Art has integrated its Logical Qubit Compiler with the NVIDIA CUDA-Q hybrid quantum-classical platform to enhance the performance and scalability of quantum computing applications. This collaboration leverages Quantum Art’s compiler, optimised for minimal circuit depth and scalable performance utilising unique multi-qubit gates and a multi-core architecture, with NVIDIA’s expertise in multi-core orchestration and developer tools. The resulting synergy aims to facilitate the development of real-world quantum use cases by enabling applications to run across quantum processing units (QPUs), central processing units (CPUs), and graphics processing units (GPUs).

Initial testing demonstrates a reduction in circuit complexity and improved performance, evidenced by a favourable scaling characteristic (N versus N² code lines) and a reported 25% improvement in the logarithm of Quantum Volume circuits. This compiler integration is projected to substantially increase Quantum Volume, a key metric for evaluating the overall capacity and performance of quantum computers. The focus is on achieving synthesis and optimisation of quantum circuits at the approximately 200 logical qubit level, a scale considered relevant for emerging commercial applications.

Targeting 200 Logical Qubits

Quantum Art is actively pursuing the realisation of quantum circuits at the scale of approximately 200 logical qubits, a target deemed relevant to emerging commercial applications. This objective necessitates advancements in both hardware and software optimisation to manage the inherent complexities of scaling quantum systems. The company intends to demonstrate significant improvements in key circuit metrics, including reduced circuit depth, a lower T-gate count – a measure of the complexity of quantum operations – and a minimised number of core reconfigurations required for computation.

Performance evaluation will centre on Quantum Volume, a system-level benchmark that encapsulates both qubit count and qubit connectivity, providing a holistic measure of quantum computer capability. Initial results indicate that the integration of Quantum Art’s Logical Qubit Compiler with the NVIDIA CUDA-Q platform is yielding favourable scaling characteristics – demonstrating a linear relationship (N) between code lines and qubit number, compared to the quadratic (N²) scaling observed in some other systems. This improvement, coupled with a reported 25% enhancement in the logarithm of Quantum Volume circuits, suggests a pathway to substantially shallower and more efficient quantum circuits.

Advancing Commercial Quantum Advantage

Performance will be assessed through measurable improvements in circuit depth, T-gate count, and the number of core reconfigurations required. Quantum Volume will serve as the primary system-level benchmark to evaluate the combined platform’s effectiveness and scalability. This work represents a significant step in Quantum Art’s broader strategy to scale quantum computing through its trapped-ion systems, multi-qubit gates, and dynamically reconfigurable multi-core architecture, addressing the fundamental challenge of achieving the qubit counts necessary for substantial commercial value.

The focus on achieving this scale and performance is driven by the need to address the primary challenges hindering the commercialisation of quantum computing. Quantum Art’s trapped-ion qubits, combined with its proprietary multi-core architecture and the optimised compiler, are positioned to facilitate the development and execution of meaningful quantum applications at a scale previously unattainable. This work represents a crucial step towards realising commercial quantum advantage and unlocking potential benefits across diverse fields, including materials science, logistical optimisation, and energy systems.