383 citations · 432 across the 16 of their papers we have counts for
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A Noise-Aware Scalable Subspace Classical Optimizer for the Quantum Approximate Optimization Algorithm
Kwassi Joseph Dzahini, Jeffrey M. Larson, Matt Menickelly +1
We introduce ANASTAARS, a noise-aware scalable classical optimizer for variational quantum algorithms such as the quantum approximate optimization algorithm (QAOA). ANASTAARS lever…
A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms
Jeffrey Larson, Matt Menickelly, Jiahao Shi
A key component of variational quantum algorithms (VQAs) is the choice of classical optimizer employed to update the parameterization of an ansatz. It is well recognized that quant…
Latency considerations for stochastic optimizers in variational quantum algorithms
Matt Menickelly, Yunsoo Ha, Matthew Otten
Variational quantum algorithms, which have risen to prominence in the noisy intermediate-scale quantum setting, require the implementation of a stochastic optimizer on classical ha…