most citedSimulating Quantum Materials with Digital Quantum Computers

84 citations · 252 across the 9 of their papers we have counts for

collaborators

10 papers

quant-ph2021★ 46 cited

Algebraic Compression of Quantum Circuits for Hamiltonian Evolution

Efekan Kökcü, Daan Camps, Lindsay Bassman +4

Unitary evolution under a time dependent Hamiltonian is a key component of simulation on quantum hardware. Synthesizing the corresponding quantum circuit is typically done by break…

math.NA2021★ 27 cited

An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian Simulation

Daan Camps, Efekan Kökcü, Lindsay Bassman +3

Quantum computing is a promising technology that harnesses the peculiarities of quantum mechanics to deliver computational speedups for some problems that are intractable to solve…

quant-ph2021

Empirical Evaluation of Circuit Approximations on Noisy Quantum Devices

Ellis Wilson, Frank Mueller, Lindsay Bassman +1

Noisy Intermediate-Scale Quantum (NISQ) devices fail to produce outputs with sufficient fidelity for deep circuits with many gates today. Such devices suffer from read-out, multi-q…

quant-ph2021

QuaSiMo: A Composable Library to Program Hybrid Workflows for Quantum Simulation

Thien Nguyen, Lindsay Bassman, Phillip C. Lotshaw +7

We present a composable design scheme for the development of hybrid quantum/classical algorithms and workflows for applications of quantum simulation. Our object-oriented approach…

quant-ph2021★ 40 cited

Constant-Depth Circuits for Dynamic Simulations of Materials on Quantum Computers

Lindsay Bassman, Roel Van Beeumen, Ed Younis +3

Dynamic simulation of materials is a promising application for near-term quantum computers. Current algorithms for Hamiltonian simulation, however, produce circuits that grow in de…

quant-ph2021★ 84 cited

Simulating Quantum Materials with Digital Quantum Computers

Lindsay Bassman, Miroslav Urbanek, Mekena Metcalf +3

Quantum materials exhibit a wide array of exotic phenomena and practically useful properties. A better understanding of these materials can provide deeper insights into fundamental…

quant-ph2021★ 4 cited

Composable Programming of Hybrid Workflows for Quantum Simulation

Thien Nguyen, Lindsay Bassman, Dmitry Lyakh +6

We present a composable design scheme for the development of hybrid quantum/classical algorithms and workflows for applications of quantum simulation. Our object-oriented approach…

quant-ph2021★ 6 cited

MISTIQS: An open-source software for performing quantum dynamics simulations on quantum computers

Connor Powers, Lindsay Bassman, Thomas Linker +5

We present MISTIQS, a Multiplatform Software for Time-dependent Quantum Simulations. MISTIQS delivers end-to-end functionality for simulating the quantum many-body dynamics of syst…

quant-ph2020★ 8 cited

Domain-Specific Compilers for Dynamic Simulations of Quantum Materials on Quantum Computers

Lindsay Bassman, Sahil Gulania, Connor Powers +7

Simulation of the dynamics of quantum materials is emerging as a promising scientific application for noisy intermediate-scale quantum (NISQ) computers. Due to their high gate-erro…

quant-ph2020★ 37 cited

Towards Dynamic Simulations of Materials on Quantum Computers

Lindsay Bassman, Kuang Liu, Aravind Krishnamoorthy +8

A highly anticipated application for quantum computers is as a universal simulator of quantum many-body systems, as was conjectured by Richard Feynman in the 1980s. The last decade…