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VeriQBench: A Benchmark for Multiple Types of Quantum Circuits

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arxiv 2206.10880 v1 pith:ZYOU6RWB submitted 2022-06-22 quant-ph

VeriQBench: A Benchmark for Multiple Types of Quantum Circuits

classification quant-ph
keywords quantumcircuitsbenchmarkveriqbenchcircuittypescheckingexisting
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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In this paper, we introduce VeriQBench -- an open source benchmark for quantum circuits. It offers high-level quantum circuit abstractions of various circuit types, including 1) combinational, 2) dynamic, 3) sequential, and 4) variational quantum circuits, which cover almost all existing types of quantum circuits in the literature. Meanwhile, VeriQBench is a versatile benchmark which can be used in verifying quantum software for different applications, as is evidenced by the existing works including quantum circuit verification (e.g., equivalence checking [Hon+21a; WLY21] and model checking [Yin21]), simulation (e.g., fault simulation), testing (e.g., test pattern generation [CY22]) and debugging (e.g., runtime assertions [Li+20b]). All the circuits are described in OpenQASM and are validated on Qiskit and QCOR simulators. With the hope that it can be used by other researchers, VeriQBench is released at: https://github.com/Veri-Q/Benchmark.

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Cited by 6 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. A Methodological Analysis of Empirical Studies in Quantum Software Testing

    quant-ph 2026-01 accept novelty 7.0

    A systematic analysis of 59 quantum software testing empirical studies reveals highly diverse designs, inconsistent reporting, and open methodological challenges, leading to recommendations for future work.

  2. QuTuner: Feature- and Learning-Guided Optimization Pass Tuning for Quantum Compilers

    quant-ph 2026-07 conditional novelty 6.0

    QuTuner retrieves and ranks full-space quantum optimization pass sequences from a large BO-built dataset using static features plus pass-response embeddings, then refines them with short Bayesian search.

  3. Benchmarking Quantum Software Testing with Scalable Quantum Programs

    cs.SE 2026-07 unverdicted novelty 6.0

    Qolumbina curates 40 quantum programs into a benchmark with QST-oriented criteria for functionality, output behavior, and complexity to support scalable empirical studies of quantum software testing approaches.

  4. Probabilistic Condition, Decision and Path Coverage of Circuit-based Quantum Programs

    quant-ph 2026-04 unverdicted novelty 6.0

    Quantum circuits show high average condition (97.56%) and decision (97.63%) coverage but lower path coverage (71.84%), with probabilistic versions adding confidence levels (averages 88.87%, 88.65%, 37.18%); mutation t...

  5. QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits

    cs.LG 2026-04 unverdicted novelty 6.0

    Introduces QASM-Eval, the first dataset targeting OpenQASM-3 hardware-facing features for LLM training and evaluation, with an extended verifier for syntax, states, and timelines.

  6. Clifford Volume and Free Fermion Volume: Complementary Scalable Benchmarks for Quantum Computers

    quant-ph 2025-12 conditional novelty 6.0

    Two new classically verifiable benchmark scores, Clifford Volume and Free Fermion Volume, are defined, simulated under noise, and Clifford Volume is measured on the Quantinuum H2-1 device as 34 qubits.