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Systematic benchmarking of quantum computers: status and recommendations

3 Pith papers cite this work, alongside 2 external citations. Polarity classification is still indexing.

3 Pith papers citing it
2 external citations · Pith
abstract

Architectures for quantum computing can only be scaled up when they are accompanied by suitable benchmarking techniques. The document provides a comprehensive overview of the state and recommendations for systematic benchmarking of quantum computers. Benchmarking is crucial for assessing the performance of quantum computers, including the hardware, software, as well as algorithms and applications. The document highlights key aspects such as component-level, system-level, software-level, HPC-level, and application-level benchmarks. Component-level benchmarks focus on the performance of individual qubits and gates, while system-level benchmarks evaluate the entire quantum processor. Software-level benchmarks consider the compiler's efficiency and error mitigation techniques. HPC-level and cloud benchmarks address integration with classical systems and cloud platforms, respectively. Application-level benchmarks measure performance in real-world use cases. The document also discusses the importance of standardization to ensure reproducibility and comparability of benchmarks, and highlights ongoing efforts in the quantum computing community towards establishing these benchmarks. Recommendations for future steps emphasize the need for developing standardized evaluation routines and integrating benchmarks with broader quantum technology activities.

fields

quant-ph 3

years

2026 3

representative citing papers

Design and Benchmarking of a Quantum Photonic Chip

quant-ph · 2026-07-07 · conditional · novelty 5.0 · 2 refs

RP000, a room-temperature CMOS photonic three-qubit processor, delivers higher or comparable accuracy to parameter-matched classical nets on ML classification and better noise tolerance than a superconducting processor.

Evaluating System-Level Fidelity with Peaked Random Circuits

quant-ph · 2026-05-25 · unverdicted · novelty 4.0

Peaked random circuits can serve as a high-precision system-level fidelity benchmark for NISQ devices, comparable to quantum volume but with greater sensitivity to interference effects.

citing papers explorer

Showing 3 of 3 citing papers.

  • Design and Benchmarking of a Quantum Photonic Chip quant-ph · 2026-07-07 · conditional · none · ref 19 · 2 links · internal anchor

    RP000, a room-temperature CMOS photonic three-qubit processor, delivers higher or comparable accuracy to parameter-matched classical nets on ML classification and better noise tolerance than a superconducting processor.

  • A Toolbox to Understand the Physics of Quantum Data Management quant-ph · 2026-05-14 · unverdicted · none · ref 40

    Introduces a toolbox for studying energy gaps, eigenstate structure, and optimization dynamics in quantum annealing formulations of database problems.

  • Evaluating System-Level Fidelity with Peaked Random Circuits quant-ph · 2026-05-25 · unverdicted · none · ref 14

    Peaked random circuits can serve as a high-precision system-level fidelity benchmark for NISQ devices, comparable to quantum volume but with greater sensitivity to interference effects.