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20192026
most citedBenchmarking adaptive variational quantum eigensolvers

48 citations · 48 across the 5 of their papers we have counts for

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quant-ph2026

Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks

Maggie Bao, Rushil Dandamudi, Jerimiah Wright +4

As quantum computing matures, it is critical to benchmark its real-world problem solving performance against competitive classical methods, such as tensor networks. In this work, w…

quant-ph2024

Logical Error Rates for a [[4,2,2]]-Encoded Variational Quantum Eigensolver Ansatz

Meenambika Gowrishankar, Daniel Claudino, Jerimiah Wright +1

Quantum computing offers a potential for algorithmic speedups for applications, such as large-scale simulations in chemistry and physics. However, these speedups must yield results…

quant-ph2021

Numerical Simulations of Noisy Quantum Circuits for Computational Chemistry

Jerimiah Wright, Meenambika Gowrishankar, Daniel Claudino +4

The opportunities afforded by near-term quantum computers to calculate the ground-state properties of small molecules depend on the structure of the computational ansatz as well as…

quant-ph2020★ 48 cited

Benchmarking adaptive variational quantum eigensolvers

Daniel Claudino, Jerimiah Wright, Alexander J. McCaskey +1

By design, the variational quantum eigensolver (VQE) strives to recover the lowest-energy eigenvalue of a given Hamiltonian by preparing quantum states guided by the variational pr…

quant-ph2019

Computational Chemistry on Quantum Computers

Jerimiah Wright

The purpose of this experiment was to use the known analytical techniques to study the creation, simulation, and measurements of molecular Hamiltonians. The techniques used consist…