238 citations · 608 across the 18 of their papers we have counts for
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quant-ph2021★ 40 cited
Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths
Reuben Tate, Jai Moondra, Bryan Gard +2
We generalize the Quantum Approximate Optimization Algorithm (QAOA) of Farhi et al. (2014) to allow for arbitrary separable initial states with corresponding mixers such that the s…
quant-ph2021★ 6 cited
A Classically Efficient Quantum Scalable Fermi-Hubbard Benchmark
Bryan T. Gard, Adam M. Meier
In order to quantify the relative performance of different testbed quantum computing devices, it is useful to benchmark them using a common protocol. While some benchmarks rely on…
quant-ph2021
Benchmarking Quantum Chemistry Computations with Variational, Imaginary Time Evolution, and Krylov Space Solver Algorithms
Kübra Yeter-Aydeniz, Bryan T. Gard, Jacek Jakowski +5
The rapid progress of noisy intermediate-scale quantum (NISQ) computing underscores the need to test and evaluate new devices and applications. Quantum chemistry is a key applicati…