12 citations · 14 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
Learning a quantum computer's capability
Daniel Hothem, Kevin Young, Tommie Catanach +1
Accurately predicting a quantum computer's capability -- which circuits it can run and how well it can run them -- is a foundational goal of quantum characterization and benchmarki…