1.1k citations · 5.5k across the 86 of their papers we have counts for
4 papers · 1 filter
Classifying single-qubit noise using machine learning
Travis L. Scholten, Yi-Kai Liu, Kevin Young +1
Quantum characterization, validation, and verification (QCVV) techniques are used to probe, characterize, diagnose, and detect errors in quantum information processors (QIPs). An i…
Detecting crosstalk errors in quantum information processors
Mohan Sarovar, Timothy Proctor, Kenneth Rudinger +3
Crosstalk occurs in most quantum computing systems with more than one qubit. It can cause a variety of correlated and nonlocal crosstalk errors that can be especially harmful to fa…
Detecting and tracking drift in quantum information processors
Timothy Proctor, Melissa Revelle, Erik Nielsen +5
If quantum information processors are to fulfill their potential, the diverse errors that affect them must be understood and suppressed. But errors typically fluctuate over time, a…
A volumetric framework for quantum computer benchmarks
Robin Blume-Kohout, Kevin C. Young
We propose a very large family of benchmarks for probing the performance of quantum computers. We call them volumetric benchmarks (VBs) because they generalize IBM's benchmark for…