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20192022
most citedEfficient Symmetry-Preserving State Preparation Circuits for the Variational Quantum Eigensolver Algorithm

238 citations · 536 across the 13 of their papers we have counts for

collaborators

13 papers

quant-ph2022★ 2 cited

An entanglement-based volumetric benchmark for near-term quantum hardware

Kathleen E. Hamilton, Nouamane Laanait, Akhil Francis +8

We introduce a volumetric benchmark for near-term quantum platforms based on the generation and verification of genuine entanglement across n-qubits using graph states and direct s…

quant-ph2022★ 1 cited

Scaling adaptive quantum simulation algorithms via operator pool tiling

John S. Van Dyke, Karunya Shirali, George S. Barron +3

Adaptive variational quantum simulation algorithms use information from the quantum computer to dynamically create optimal trial wavefunctions for a given problem Hamiltonian. A ke…

quant-ph2022★ 89 cited

ADAPT-VQE is insensitive to rough parameter landscapes and barren plateaus

Harper R. Grimsley, George S. Barron, Edwin Barnes +2

Variational quantum eigensolvers (VQEs) represent a powerful class of hybrid quantum-classical algorithms for computing molecular energies. Various numerical issues exist for these…

quant-ph2021★ 10 cited

A universal quantum gate set for transmon qubits with strong ZZ interactions

Junling Long, Tongyu Zhao, Mustafa Bal +13

High-fidelity single- and two-qubit gates are essential building blocks for a fault-tolerant quantum computer. While there has been much progress in suppressing single-qubit gate e…

quant-ph2021★ 38 cited

Preparing Bethe Ansatz Eigenstates on a Quantum Computer

John S. Van Dyke, George S. Barron, Nicholas J. Mayhall +2

Several quantum many-body models in one dimension possess exact solutions via the Bethe ansatz method, which has been highly successful for understanding their behavior. Neverthele…

quant-ph2021

Benchmarking Quantum Chemistry Computations with Variational, Imaginary Time Evolution, and Krylov Space Solver Algorithms

Kübra Yeter-Aydeniz, Bryan T. Gard, Jacek Jakowski +5

The rapid progress of noisy intermediate-scale quantum (NISQ) computing underscores the need to test and evaluate new devices and applications. Quantum chemistry is a key applicati…

quant-ph2020★ 46 cited

Measurement Error Mitigation for Variational Quantum Algorithms

George S. Barron, Christopher J. Wood

Variational Quantum Algorithms (VQAs) are a promising application for near-term quantum processors, however the quality of their results is greatly limited by noise. For this reaso…

quant-ph2020★ 4 cited

Gate-free state preparation for fast variational quantum eigensolver simulations: ctrl-VQE

Oinam Romesh Meitei, Bryan T. Gard, George S. Barron +4

The variational quantum eigensolver (VQE) is currently the flagship algorithm for solving electronic structure problems on near-term quantum computers. This hybrid quantum/classica…

quant-ph2020★ 31 cited

An adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer

Linghua Zhu, Ho Lun Tang, George S. Barron +4

The quantum approximate optimization algorithm (QAOA) is a hybrid variational quantum-classical algorithm that solves combinatorial optimization problems. While there is evidence s…

quant-ph2020★ 33 cited

Preserving Symmetries for Variational Quantum Eigensolvers in the Presence of Noise

George S. Barron, Bryan T. Gard, Orien J. Altman +3

One of the most promising applications of noisy intermediate-scale quantum computers is the simulation of molecular Hamiltonians using the variational quantum eigensolver. We show…

quant-ph2019★ 238 cited

Efficient Symmetry-Preserving State Preparation Circuits for the Variational Quantum Eigensolver Algorithm

Bryan T. Gard, Linghua Zhu, George S. Barron +3

The variational quantum eigensolver is one of the most promising approaches for performing chemistry simulations using noisy intermediate-scale quantum (NISQ) processors. The effic…

quant-ph2019★ 12 cited

Microwave-based Arbitrary CPHASE Gates for Transmon Qubits

George S. Barron, F. A. Calderon-Vargas, Junling Long +2

Superconducting transmon qubits are of great interest for quantum computing and quantum simulation. A key component of quantum chemistry simulation algorithms is breaking up the ev…

quant-ph2019★ 32 cited

Fast high-fidelity entangling gates for spin qubits in Si double quantum dots

F. A. Calderon-Vargas, George S. Barron, Xiu-Hao Deng +3

Implementing high-fidelity two-qubit gates in single-electron spin qubits in silicon double quantum dots is still a major challenge. In this work, we employ analytical methods to d…