21 citations · 78 across the 14 of their papers we have counts for
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quant-ph2024
Measuring error rates of mid-circuit measurements
Daniel Hothem, Jordan Hines, Charles Baldwin +3
High-fidelity mid-circuit measurements, which read out the state of specific qubits in a multiqubit processor without destroying them or disrupting their neighbors, are a critical…
quant-ph2024★ 21 cited
A Practical Introduction to Benchmarking and Characterization of Quantum Computers
Akel Hashim, Long B. Nguyen, Noah Goss +16
Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthr…
quant-ph2024★ 8 cited
Pauli Noise Learning for Mid-Circuit Measurements
Jordan Hines, Timothy Proctor
Current benchmarks for mid-circuit measurements (MCMs) are limited in scalability or the types of error they can quantify, necessitating new techniques for quantifying their perfor…