383 citations · 1.2k across the 29 of their papers we have counts for
13 papers · 1 filter
Switching Time Optimization for Binary Quantum Optimal Control
Xinyu Fei, Lucas T. Brady, Jeffrey Larson +2
Quantum optimal control is a technique for controlling the evolution of a quantum system and has been applied to a wide range of problems in quantum physics. We study a binary quan…
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem
Ruslan Shaydulin, Changhao Li, Shouvanik Chakrabarti +26
The quantum approximate optimization algorithm (QAOA) is a leading candidate algorithm for solving optimization problems on quantum computers. However, the potential of QAOA to tac…
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…
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…
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…
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…
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…
CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations
Wei Tang, Teague Tomesh, Martin Suchara +2
Quantum computing (QC) is a new paradigm offering the potential of exponential speedups over classical computing for certain computational problems. Each additional qubit doubles t…
Multistart Methods for Quantum Approximate Optimization
Ruslan Shaydulin, Ilya Safro, Jeffrey Larson
Hybrid quantum-classical algorithms such as the quantum approximate optimization algorithm (QAOA) are considered one of the most promising approaches for leveraging near-term quant…
Origins and optimization of entanglement in plasmonically coupled quantum dots
Matthew Otten, Jeffrey Larson, Misun Min +3
A system of two or more quantum dots interacting with a dissipative plasmonic nanostructure is investigated in detail by using a cavity quantum electrodynamics approach with a mode…