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Quantum Characterization, Verification, and Validation

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arxiv 2503.16383 v1 pith:I4UP65I2 submitted 2025-03-20 quant-ph

Quantum Characterization, Verification, and Validation

classification quant-ph
keywords quantumcharacterizationqcvvtechniquesverificationassessbehaviorbenchmarking
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Quantum characterization, verification, and validation (QCVV) is a set of techniques to probe, describe, and assess the behavior of quantum bits (qubits), quantum information-processing registers, and quantum computers. QCVV protocols probe and describe the effects of unwanted decoherence so that it can be eliminated or mitigated. They can be usefully divided into characterization techniques that estimate predictive models for a device's behavior from data, and benchmarking techniques that assess overall performance of a device. In this introductory article, we briefly summarize the history of QCVV, introduce the mathematical models and metrics upon which it relies, and then summarize the foundational fields of tomography, randomized benchmarking, and holistic benchmarks. We conclude with brief descriptions of (and references to) advanced topics including gate set tomography, phase estimation, Pauli noise learning, characterization of mid-circuit measurements and non-Markovianity, classical shadows, verification and certification, and logical qubit assessment.

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Cited by 10 Pith papers

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  2. Classical shadows for sample-efficient measurements of gauge-invariant observables

    quant-ph 2025-11 conditional novelty 7.0

    Using the Z2 lattice-gauge-theory/Ising duality, symmetry-aware classical shadow protocols estimate gauge-invariant observables with exponentially fewer samples than symmetry-blind protocols, at the cost of deeper circuits.

  3. Unified Uncertainty Quantification Framework Bridging Noisy Quantum Backends Across Variational Quantum Algorithms and Quantum Signal Processing

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    A unified Bayesian-optimization and uncertainty-quantification workflow benchmarks variational and QSVT workloads on four noisy backends, showing backend quality is workload-dependent.

  4. SiMOS quantum-dot spin qubits enabled by extreme-ultraviolet lithography

    cond-mat.mes-hall 2026-07 conditional novelty 6.0

    First high-fidelity SiMOS spin qubits fabricated with EUV lithography show 99.9% single-qubit and ~99% two-qubit gate fidelities across four double-dot systems.

  5. Stable Qubit Readout and the Identifiability of Population Change

    quant-ph 2026-06 unverdicted novelty 6.0

    Derives closed-form intervals for compatible population changes from calibrated qubit readouts and identifies cases where stable data permit multiple population interpretations.

  6. Efficient certification of intractable quantum states with few Pauli measurements

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    The paper claims Clifford-enhanced product states can be certified with O(n^2/epsilon^2) Pauli measurements in the i.i.d. setting and polynomially many in the adversarial setting, but the central estimator is derived ...

  7. Blind-spots of Randomized Benchmarking Under Temporal Correlations

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    Derives analytic expressions for randomized benchmarking under temporally correlated non-Markovian noise, identifies cases where correlations are invisible to RB, and shows they can affect diamond norm errors.

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    Method to reconstruct the unitary component of a quantum channel from minimal mixed or pure state pairs, with resource comparisons to Choi-matrix methods for noisy dynamics and robustness to SPAM errors.

  9. How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits

    quant-ph 2024-11 accept novelty 4.0

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  10. Crosstalk In Contemporary Quantum Devices

    quant-ph 2026-05 unverdicted novelty 1.0

    Review synthesizing crosstalk mechanisms, mitigation strategies, and security vulnerabilities across major quantum computing platforms from existing literature.