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Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms
Model update (MU) and candidate evaluation (CE) are classical steps incorporated inside many stochastic trust-region (TR) algorithms. …
Yunsoo Ha, Sara Shashaani, Raghu Pasupathy
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Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms
The quantum approximate optimization algorithm (QAOA) has enjoyed increasing attention in noisy, intermediate-scale quantum computing …
Yunsoo Ha, Sara Shashaani, Matt Menickelly
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Iteration Complexity and Finite-Time Efficiency of Adaptive Sampling Trust-Region Methods for Stochastic Derivative-Free Optimization
Adaptive-sampling trust-region method or ASTRO-DF is a paramount algorithm for stochastic derivative-free optimization. Its salient …
Yunsoo Ha, Sara Shashaani
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Latency Considerations for Stochastic Optimizers in Variational Quantum Algorithms
Variational quantum algorithms, which have risen to prominence in the noisy intermediate-scale quantum setting, require the …
Matt Menickelly, Yunsoo Ha, Matthew Otten
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A Decision Model to Determine the Number of Shuttles in a tier-to-tier SBS/RS
Shuttle-based storage and retrieval systems (SBS/RSs), which are designed to increase throughput capacity and flexibility, are a type …
Yunsoo Ha, Junjae Chae
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Free Balancing for a Shuttle-based Storage and Retrieval System
Shuttle-based storage and retrieval systems (SBS/RSes) – a type of automated storage and retrieval system (AS/RS) – have recently been …
Yunsoo Ha, Junjae Chae
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