~Providing Objective Guidance for Companies Exploring Quantum Adoption~

QunaSys Inc. (Headquarters: Bunkyo-ku, Tokyo; CEO: Tennin Yan; hereinafter “QunaSys”), a company specializing in quantum computing software and algorithm development, releases its inaugural quantum computer benchmark report, “QURI Bench” (preview version), on May 12, 2025, via its official website. This benchmark independently evaluates the performance and characteristics of various quantum hardware platforms. The official version of “QURI Bench” is scheduled for release in July 2025.

QURI Bench

This initial benchmark focuses on the fields of Chemistry and Material physics, which are considered promising application areas for quantum computing. It evaluates two specific systems: p-benzyne and the 2D Fermi-Hubbard model, using the Gaussian Statistical Phase Estimation (SPE) algorithm as a reference.
Note: Due to the anticipated limitations of quantum hardware in approximately the next five years, which are not sufficient to run Quantum Phase Estimation (QPE), SPE is used as a more realistic assumption in this benchmark.

^{*1: SPE for p-benzyne. Only active space sizes of [6, 14, 18, 26] are computed. The dots represent the maximal active space size the device can execute.
*2: SPE for 2D Fermi-Hubbard model. Only lattice sizes of [4x4, 6x6, 8x8, 10x10] are computed. The dots represent the maximal active space size the device can execute.}

Assumptions

• We are targeting devices for which logical qubit information (qubit count and error rates) is specified in each company's roadmap.
• A device is considered capable of executing SPE when the number of gates it can execute exceeds the number of gates required for SPE implementation. The gate count executable by a given device is computed under the assumption that a 33% logical error is acceptable after N gate executions.
• We assume that all logical qubits of the device can be used as data qubits, and require that this number exceeds the number of logical qubits needed to execute SPE.
• Clifford + T decomposition is assumed.
• We do not take into account the parallelizability of gate execution.
• We do not consider the performance improvement if error mitigation is used.
• For the 2D Fermi-Hubbard benchmark, a pessimistic Trotter error is assumed in the estimation. The true Trotter error should be way smaller.

Background and Purpose of the Benchmark

As quantum computing advances rapidly, the diversity of hardware technologies and architectures has created a fragmented landscape. However, the industry lacks standardized, objective evaluation methods. This makes it difficult for companies to determine which hardware platforms and applications are most effective for their future use cases.
QunaSys aims to fill this gap by providing objective, cross-platform benchmarks. These tools enable companies to evaluate hardware options efficiently and move forward with implementation and R&D with greater clarity and confidence.

How “QURI Bench” Benefits Industry

QURI Bench is designed to support R&D and IT/DX departments at companies considering the future use of quantum computing by offering the following benefits:

• Reduce time and cost associated with evaluating a wide range of quantum hardware options in a fragmented ecosystem.
• Gain upfront insights into the compatibility between quantum hardware and specific applications, streamlining the trial-and-error process of quantum exploration.
• Support better algorithm development and talent training by understanding the strengths and limitations of each platform, thereby enhancing a company’s competitive advantage.

Through QURI Bench, QunaSys continues to promote the industrial adoption of quantum technologies, offering sustained support for enterprises in Japan and globally to accelerate practical implementations.

About QunaSys

QunaSys is a leading startup specializing in quantum computing software and algorithm development. Its mission is to “Maximize the Power of Quantum Computing” by unlocking the full potential of quantum computers by developing hardware-independent technologies that empower businesses to adopt quantum solutions efficiently.
QunaSys also operates QPARC, a collaborative consortium for quantum computing applications, bringing together major companies from Japan and around the world to drive practical quantum R&D.

QunaSys Inc.
Public Relations
E-Mail: pr@qunasys.com
URL: https://qunasys.com/en/