A Practical Introduction to Benchmarking and Characterization of Quantum Computers
Akel Hashim, Long B. Nguyen, Noah Goss, Brian Marinelli, Ravi K. Naik, Trevor Chistolini, Jordan Hines, J. P. Marceaux, Yosep Kim, Pranav Gokhale, Teague Tomesh, Senrui Chen, Liang Jiang, Samuele Ferracin, Kenneth Rudinger, Timothy Proctor, Kevin C. Young, Irfan Siddiqi

TL;DR
This paper provides a comprehensive tutorial on quantum characterization, verification, and validation (QCVV) methods, explaining core concepts, protocols, and their scalability for assessing quantum computer performance.
Contribution
It introduces fundamental QCVV principles, surveys a wide range of protocols, and discusses their advantages, disadvantages, and scalability for large-scale quantum systems.
Findings
Detailed overview of QCVV tools and protocols
Illustrated examples of benchmarking methods
Discussion on scalability to large quantum computers
Abstract
Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthroughs in quantum algorithms, quantum simulations, and quantum error correction are bringing useful quantum computation closer to fruition. These remarkable achievements have been facilitated by advances in quantum characterization, verification, and validation (QCVV). QCVV methods and protocols enable scientists and engineers to scrutinize, understand, and enhance the performance of quantum information-processing devices. In this tutorial, we review the fundamental principles underpinning QCVV, and introduce a diverse array of QCVV tools used by quantum researchers. We define and explain QCVV's core models and concepts -- quantum states, measurements, and processes -- and illustrate how these building blocks…
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