Jeffrey Larson

56 papers A* 1B 1C 1Misc 3Journal 44Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms.
INFORMS J. Comput.
Jeffrey Larson, Matt Menickelly, Jiahao Shi
2025 J jnl
Binary Quantum Control Optimization with Uncertain Hamiltonians.
INFORMS J. Comput.
Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen
2025 J jnl
Certified randomness using a trapped-ion quantum processor.
CoRR
Minzhao Liu, Ruslan Shaydulin, Pradeep Niroula, Matthew DeCross, Shih-Han Hung, Wen Yu Kon, Enrique Cervero Martín, Kaushik Chakraborty, Omar Amer, Scott Aaronson, Atithi Acharya, Yuri Alexeev, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia
2025 J jnl
Certified randomness using a trapped-ion quantum processor.
Nat.
Minzhao Liu, Ruslan Shaydulin, Pradeep Niroula, Matthew DeCross, Shih-Han Hung, Wen Yu Kon, Enrique Cervero Martín, Kaushik Chakraborty, Omar Amer, Scott Aaronson, Atithi Acharya, Yuri Alexeev, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia
2025 J jnl
Integrating ytopt and libEnsemble to autotune OpenMC.
Int. J. High Perform. Comput. Appl.
Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2025 J jnl
InterQnet: A Heterogeneous Full-Stack Approach to Co-designing Scalable Quantum Networks.
CoRR
Joaquin Chung, Daniel Dilley, Ely M. Eastman, Alvin Gonzales, Kara Hokenstad, Md Shariful Islam, Varun Jorapur, Joseph Petrullo, Andy C. Y. Li, Bikun Li, Vasileios Niaouris, Anirudh Ramesh, Ansh Singal, Caitao Zhan, Michael Bishof, Eric Chitambar, Jacob P. Covey, Alan Dibos, Xu Han, Liang Jiang, Prem Kumar, Jeffrey Larson, Zain H. Saleem, Rajkumar Kettimuthu
2025 J jnl
Portable, heterogeneous ensemble workflows at scale using libEnsemble.
Int. J. High Perform. Comput. Appl.
Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild
2025 J jnl
Switching Time Optimization for Binary Quantum Optimal Control.
ACM Trans. Quantum Comput.
Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen
2024 J jnl
An Empirical Quantile Estimation Approach for Chance-Constrained Nonlinear Optimization Problems.
J. Optim. Theory Appl.
Fengqiao Luo, Jeffrey Larson
2024 J jnl
Correction: Multistart algorithm for identifying all optima of nonconvex stochastic functions.
Optim. Lett.
Prateek Jaiswal, Jeffrey Larson
2024 J jnl
Electric vehicle supply equipment location and capacity allocation for fixed-route networks.
Eur. J. Oper. Res.
Amir Davatgari, Taner Cokyasar, Anirudh Subramanyam, Jeffrey Larson, Abolfazl (Kouros) Mohammadian
2024 J jnl
End-to-End Protocol for High-Quality QAOA Parameters with Few Shots.
CoRR
Tianyi Hao, Zichang He, Ruslan Shaydulin, Jeffrey Larson, Marco Pistoia
2024 J jnl
Integrating ytopt and libEnsemble to Autotune OpenMC.
CoRR
Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2024 J jnl
Multistart algorithm for identifying all optima of nonconvex stochastic functions.
Optim. Lett.
Prateek Jaiswal, Jeffrey Larson
2024 J jnl
Portable, heterogeneous ensemble workflows at scale using libEnsemble.
CoRR
Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild
2024 J jnl
Structure-aware methods for expensive derivative-free nonsmooth composite optimization.
Math. Program. Comput.
Jeffrey Larson, Matt Menickelly
2023 J jnl
Binary Control Pulse Optimization for Quantum Systems.
Quantum
Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen
2023 J jnl
Comparison of multiobjective optimization methods for the LCLS-II photoinjector.
Comput. Phys. Commun.
Nicole Neveu, Tyler H. Chang, Paris Franz, Stephen Hudson, Jeffrey Larson
2023 J jnl
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem.
CoRR
Ruslan Shaydulin, Changhao Li, Shouvanik Chakrabarti, Matthew DeCross, Dylan Herman, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Pierre Minssen, Yue Sun, Yuri Alexeev, Joan M. Dreiling, John P. Gaebler, Thomas M. Gatterman, Justin A. Gerber, Kevin Gilmore, Dan Gresh, Nathan Hewitt, Chandler V. Horst, Shaohan Hu, Jacob Johansen, Mitchell Matheny, Tanner Mengle, Michael Mills, Steven A. Moses, Brian Neyenhuis, Peter Siegfried, Romina Yalovetzky, Marco Pistoia
2023 J jnl
Hardware-Conscious Optimization of the Quantum Toffoli Gate.
ACM Trans. Quantum Comput.
Max Aksel Bowman, Pranav Gokhale, Jeffrey Larson, Ji Liu, Martin Suchara
2023 J jnl
LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach.
ACM Trans. Quantum Comput.
Ethan Smith, Marc Grau Davis, Jeffrey Larson, Ed Younis, Lindsay Bassman Oftelie, Wim Lavrijsen, Costin Iancu
2023 J jnl
Modeling approaches for addressing unrelaxable bound constraints with unconstrained optimization methods.
Optim. Lett.
Jeffrey Larson, Misha Padidar, Stefan M. Wild
2023 J jnl
Parameter Transfer for Quantum Approximate Optimization of Weighted MaxCut.
ACM Trans. Quantum Comput.
Ruslan Shaydulin, Phillip C. Lotshaw, Jeffrey Larson, James Ostrowski, Travis S. Humble
2023 C conf
QContext: Context-Aware Decomposition for Quantum Gates.
ISCAS
Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland
2023 J jnl
QContext: Context-Aware Decomposition for Quantum Gates.
CoRR
Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland
2022 J jnl
A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation.
Oper. Res.
Fengqiao Luo, Jeffrey Larson
2022 J jnl
Algorithm 1028: VTMOP: Solver for Blackbox Multiobjective Optimization Problems.
ACM Trans. Math. Softw.
Tyler H. Chang, Layne T. Watson, Jeffrey Larson, Nicole Neveu, William I. Thacker, Shubhangi G. Deshpande, Thomas C. H. Lux
2022 Misc conf
Characterizing Error Mitigation by Symmetry Verification in QAOA.
QCE
Ashish Kakkar, Jeffrey Larson, Alexey Galda, Ruslan Shaydulin
2022 J jnl
Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization.
CoRR
Tianyi Hao, Ruslan Shaydulin, Marco Pistoia, Jeffrey Larson
2022 Misc conf
Multiangle QAOA Does Not Always Need All Its Angles.
SEC
Kaiyan Shi, Rebekah Herrman, Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Jeffrey Larson
2022 — conf
Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows.
WORKS@SC
Ishan Abhinit, Emily K. Adams, Khairul Alam, Brian Chase, Ewa Deelman, Lev Gorenstein, Stephen Hudson, Tanzima Z. Islam, Jeffrey Larson, Geoffrey Lentner, Anirban Mandal, John-Luke Navarro, Bogdan Nicolae, Line Pouchard, Robert B. Ross, Banani Roy, Mats Rynge, Alexander Serebrenik, Karan Vahi, Stefan M. Wild, Yufeng Xin, Rafael Ferreira da Silva, Rosa Filgueira
2022 J jnl
Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints.
SIAM J. Optim.
Christian Kirches, Jeffrey Larson, Sven Leyffer, Paul Manns
2022 J jnl
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations.
IEEE Trans. Parallel Distributed Syst.
Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild
2021 J jnl
A method for convex black-box integer global optimization.
J. Glob. Optim.
Jeffrey Larson, Sven Leyffer, Prashant Palkar, Stefan M. Wild
2021 A* conf
CutQC: using small Quantum computers for large Quantum circuit evaluations.
ASPLOS
Wei Tang, Teague Tomesh, Martin Suchara, Jeffrey Larson, Margaret Martonosi
2021 — conf
Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education.
WORKS
Henri Casanova, Ewa Deelman, Sandra Gesing, Michael D. Hildreth, Stephen Hudson, William Koch, Jeffrey Larson, Mary Ann McDowell, Natalie Meyers, John-Luke Navarro, George Papadimitriou, Ryan Tanaka, Ian J. Taylor, Douglas Thain, Stefan M. Wild, Rosa Filgueira, Rafael Ferreira da Silva
2021 J jnl
LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach.
CoRR
Ethan Smith, Marc Grau Davis, Jeffrey Larson, Ed Younis, Costin Iancu, Wim Lavrijsen
2021 J jnl
Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions.
SIAM J. Optim.
Jeffrey Larson, Matt Menickelly, Baoyu Zhou
2021 J jnl
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations.
CoRR
Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild
2020 J jnl
CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations.
CoRR
Wei Tang, Teague Tomesh, Jeffrey Larson, Martin Suchara, Margaret Martonosi
2020 — conf
Managing Computationally Expensive Blackbox Multiobjective Optimization Problems Wwth Libensemble.
SpringSim
Tyler H. Chang, Jeffrey Larson, Layne T. Watson, Thomas C. H. Lux
2020 Misc conf
Multiobjective Optimization of the Variability of the High-Performance Linpack Solver.
WSC
Tyler H. Chang, Jeffrey Larson, Layne T. Watson
2019 J jnl
Derivative-free optimization methods.
Acta Numer.
Jeffrey Larson, Matt Menickelly, Stefan M. Wild
2019 — conf
Multistart Methods for Quantum Approximate optimization.
HPEC
Ruslan Shaydulin, Ilya Safro, Jeffrey Larson
2018 J jnl
Asynchronously parallel optimization solver for finding multiple minima.
Math. Program. Comput.
Jeffrey Larson, Stefan M. Wild
2018 J jnl
Manifold Sampling for Optimization of Nonconvex Functions That Are Piecewise Linear Compositions of Smooth Components.
SIAM J. Optim.
Kamil A. Khan, Jeffrey Larson, Stefan M. Wild
2017 J jnl
Platoon formation maximization through centralized routing and departure time coordination.
CoRR
Vadim Sokolov, Jeffrey Larson, Todd S. Munson, Joshua Auld, Dominik Karbowski
2017 J jnl
Scheduling double round-robin tournaments with divisional play using constraint programming.
Eur. J. Oper. Res.
Mats Carlsson, Mikael Johansson, Jeffrey Larson
2016 — conf
Coordinated Platoon Routing in a Metropolitan Network.
CSC
Jeffrey Larson, Todd S. Munson, Vadim Sokolov
2016 J jnl
Manifold Sampling for ℓ
SIAM J. Optim.
Jeffrey Larson, Matt Menickelly, Stefan M. Wild
2016 J jnl
Stochastic derivative-free optimization using a trust region framework.
Comput. Optim. Appl.
Jeffrey Larson, Stephen C. Billups
2015 J jnl
A Distributed Framework for Coordinated Heavy-Duty Vehicle Platooning.
IEEE Trans. Intell. Transp. Syst.
Jeffrey Larson, Kuo-Yun Liang, Karl Henrik Johansson
2014 B conf
An Integrated Constraint Programming Approach to Scheduling Sports Leagues with Divisional and Round-Robin Tournaments.
CPAIOR
Jeffrey Larson, Mikael Johansson, Mats Carlsson
2013 — conf
Coordinated route optimization for heavy-duty vehicle platoons.
ITSC
Jeffrey Larson, Christoph Kammer, Kuo-Yun Liang, Karl Henrik Johansson
2013 J jnl
Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression.
SIAM J. Optim.
Stephen C. Billups, Jeffrey Larson, Peter A. Graf
2013 J jnl
Non-intrusive termination of noisy optimization.
Optim. Methods Softw.
Jeffrey Larson, Stefan M. Wild