383 citations · 1.2k across the 29 of their papers we have counts for
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Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization
Tianyi Hao, Ruslan Shaydulin, Marco Pistoia +1
A central challenge of applying near-term quantum optimization algorithms to industrially relevant problems is the need to incorporate complex constraints. In general, such constra…
An Empirical Quantile Estimation Approach to Nonlinear Optimization Problems with Chance Constraints
Fengqiao Luo, Jeffrey Larson
We investigate an empirical quantile estimation approach to solve chance-constrained nonlinear optimization problems. Our approach is based on the reformulation of the chance const…
Multi-Angle QAOA Does Not Always Need All Its Angles
Kaiyan Shi, Rebekah Herrman, Ruslan Shaydulin +3
Introducing additional tunable parameters to quantum circuits is a powerful way of improving performance without increasing hardware requirements. A recently introduced multiangle…
Hardware-Conscious Optimization of the Quantum Toffoli Gate
Max Aksel Bowman, Pranav Gokhale, Jeffrey Larson +2
While quantum computing holds great potential in combinatorial optimization, electronic structure calculation, and number theory, the current era of quantum computing is limited by…
Structure-Aware Methods for Expensive Derivative-Free Nonsmooth Composite Optimization
Jeffrey Larson, Matt Menickelly
We present new methods for solving a broad class of bound-constrained nonsmooth composite minimization problems. These methods are specially designed for objectives that are some k…
Comparison of Multiobjective Optimization Methods for the LCLS-II Photoinjector
Nicole Neveu, Tyler H. Chang, Paris Franz +2
Particle accelerators are among some of the largest science experiments in the world and can consist of thousands of components with a wide variety of input ranges. These systems c…
Modeling Approaches for Addressing Simple Unrelaxable Constraints with Unconstrained Optimization Methods
Misha Padidar, Jeffrey Larson, Stefan M. Wild
We explore novel approaches for solving nonlinear optimization problems with unrelaxable bound constraints, which must be satisfied before the objective function can be evaluated.…
Characterizing Error Mitigation by Symmetry Verification in QAOA
Ashish Kakkar, Jeffrey Larson, Alexey Galda +1
Hardware errors are a major obstacle to demonstrating quantum advantage with the quantum approximate optimization algorithm (QAOA). Recently, symmetry verification has been propose…
Binary Control Pulse Optimization for Quantum Systems
Xinyu Fei, Lucas T. Brady, Jeffrey Larson +2
Quantum control aims to manipulate quantum systems toward specific quantum states or desired operations. Designing highly accurate and effective control steps is vitally important…
Parameter Transfer for Quantum Approximate Optimization of Weighted MaxCut
Ruslan Shaydulin, Phillip C. Lotshaw, Jeffrey Larson +2
Finding high-quality parameters is a central obstacle to using the quantum approximate optimization algorithm (QAOA). Previous work partially addresses this issue for QAOA on unwei…