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20222026
most citedLatency considerations for stochastic optimizers in variational quantum algorithms

19 citations · 21 across the 5 of their papers we have counts for

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5 papers

math.OC2026

Computing Equilibria in Simulation-Based Insurance Markets with Discontinuous Demand

Yunsoo Ha, Linda Nozick

We study equilibrium computation in simulation-based games motivated by competition in natural-hazard insurance markets. The motivating application considers a multi-region market…

math.OC2024★ 1 cited

Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms

Yunsoo Ha, Sara Shashaani, Raghu Pasupathy

Model update (MU) and candidate evaluation (CE) are classical steps incorporated inside many stochastic trust-region (TR) algorithms. The sampling effort exerted within these steps…

math.OC2024

Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms

Yunsoo Ha, Sara Shashaani, Matt Menickelly

The Quantum Approximate Optimization Algorithm (QAOA) has enjoyed increasing attention in noisy intermediate-scale quantum computing due to its application to combinatorial optimiz…

math.OC2023★ 1 cited

Iteration Complexity and Finite-Time Efficiency of Adaptive Sampling Trust-Region Methods for Stochastic Derivative-Free Optimization

Yunsoo Ha, Sara Shashaani

Adaptive sampling with interpolation-based trust regions or ASTRO-DF is a successful algorithm for stochastic derivative-free optimization with an easy-to-understand-and-implement…

quant-ph2022★ 19 cited

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…