158 citations · 357 across the 13 of their papers we have counts for
6 papers · 1 filter
Optimizing frequency allocation for fixed-frequency superconducting quantum processors
Alexis Morvan, Larry Chen, Jeffrey M. Larson +2
Fixed-frequency superconducting quantum processors are one of the most mature quantum computing architectures with high-coherence qubits and simple controls. However, high-fidelity…
Derivative-Free Optimization of a Rapid-Cycling Synchrotron
Jeffrey S. Eldred, Jeffrey Larson, Misha Padidar +2
We develop and solve a constrained optimization model to identify an integrable optics rapid-cycling synchrotron lattice design that performs well in several capacities. Our model…
Multistart Algorithm for Identifying All Optima of Nonconvex Stochastic Functions
Prateek Jaiswal, Jeffrey Larson
We propose a multistart algorithm to identify all local minima of a constrained, nonconvex stochastic optimization problem. The algorithm uniformly samples points in the domain and…
LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach
Ethan Smith, Marc G. Davis, Jeffrey Larson +3
While showing great promise, circuit synthesis techniques that combine numerical optimization with search over circuit structures face scalability challenges due to a large number…
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control
S. Ashwin Renganathan, Jeffrey Larson, Stefan M. Wild
We propose a novel Bayesian method to solve the maximization of a time-dependent expensive-to-evaluate stochastic oracle. We are interested in the decision that maximizes the oracl…
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations
Stephen Hudson, Jeffrey Larson, John-Luke Navarro +1
Almost all applications stop scaling at some point; those that don't are seldom performant when considering time to solution on anything but aspirational/unicorn resources. Recogni…