21 citations · 78 across the 14 of their papers we have counts for
4 papers · 1 filter
Scalable Full-Stack Benchmarks for Quantum Computers
Jordan Hines, Timothy Proctor
Quantum processors are now able to run quantum circuits that are infeasible to simulate classically, creating a need for benchmarks that assess a quantum processor's rate of errors…
Fully scalable randomized benchmarking without motion reversal
Jordan Hines, Daniel Hothem, Robin Blume-Kohout +2
We introduce binary randomized benchmarking (BiRB), a protocol that streamlines traditional RB by using circuits consisting almost entirely of i.i.d. layers of gates. BiRB reliably…
Predictive Models from Quantum Computer Benchmarks
Daniel Hothem, Jordan Hines, Karthik Nataraj +2
Holistic benchmarks for quantum computers are essential for testing and summarizing the performance of quantum hardware. However, holistic benchmarks -- such as algorithmic or rand…
A Theory of Direct Randomized Benchmarking
Anthony M. Polloreno, Arnaud Carignan-Dugas, Jordan Hines +3
Randomized benchmarking (RB) protocols are widely used to measure an average error rate for a set of quantum logic gates. However, the standard version of RB is limited because it…