Quantum Characterization, Verification, and Validation

• URL: http://arxiv.org/abs/2503.16383v1
• Date: Thu, 20 Mar 2025 17:45:03 GMT
• Title: Quantum Characterization, Verification, and Validation
• Authors: Robin Blume-Kohout, Timothy Proctor, Kevin Young,
• Abstract summary: Quantum characterization, verification, and validation (QCVV) is a set of techniques to probe, describe, and assess the behavior of quantum bits (qubits)<n>QCVV protocols probe and describe the effects of unwanted decoherence so that it can be eliminated or mitigated.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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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