activity
20182022
most citedStatistical analysis of randomized benchmarking

49 citations · 58 across the 6 of their papers we have counts for

collaborators

15 papers

quant-ph20221 cited

Designing Stochastic Channels

Matthew A. Graydon, Joshua Skanes-Norman, Joel J. Wallman

Stochastic channels are ubiquitous in the field of quantum information because they are simple and easy to analyze. In particular, Pauli channels and depolarizing channels are wide…

quant-ph20211 cited

Clifford groups are not always 2-designs

Matthew A. Graydon, Joshua Skanes-Norman, Joel J. Wallman

The Clifford group is the quotient of the normalizer of the Weyl-Heisenberg group in dimension by its centre. We prove that when is not prime the Clifford group is not a gr…

quant-ph20204 cited

Combining and estimation with randomized benchmarking and bounding the diamond distance

Hillary Dawkins, Joel Wallman, Joseph Emerson

The characterization of errors in a quantum system is a fundamental step for two important goals. First, learning about specific sources of error is essential for optimizing experi…

quant-ph2019

Classical vs. quantum satisfiability in linear constraint systems modulo an integer

Hammam Qassim, Joel. J. Wallman

A system of linear constraints can be unsatisfiable and yet admit a solution in the form of quantum observables whose correlated outcomes satisfy the constraints. Recently, it has…

quant-ph2019

Efficient learning of quantum noise

Robin Harper, Steven T. Flammia, Joel J. Wallman

Noise is the central obstacle to building large-scale quantum computers. Quantum systems with sufficiently uncorrelated and weak noise could be used to solve computational problems…

quant-ph2019

Characterizing large-scale quantum computers via cycle benchmarking

Alexander Erhard, Joel James Wallman, Lukas Postler +7

Quantum computers promise to solve certain problems more efficiently than their digital counterparts. A major challenge towards practically useful quantum computing is characterizi…