68 citations · 75 across the 3 of their papers we have counts for
3 papers
cs.DS2019★ 4 cited
Parameterization of tensor network contraction
Bryan O'Gorman
We present a conceptually clear and algorithmically useful framework for parameterizing the costs of tensor network contraction. Our framework is completely general, applying to te…
quant-ph2019★ 68 cited
Generalized swap networks for near-term quantum computing
Bryan O'Gorman, William J. Huggins, Eleanor G. Rieffel +1
The practical use of many types of near-term quantum computers requires accounting for their limited connectivity. One way of overcoming limited connectivity is to insert swaps in…
quant-ph2015★ 3 cited
Determination and correction of persistent biases in quantum annealers
Alejandro Perdomo-Ortiz, Bryan O'Gorman, Joseph Fluegemann +2
Calibration of quantum computing technologies is essential to the effective utilization of their quantum resources. Specifically, the performance of quantum annealers is likely to…