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20232025
most citedChemistry Beyond the Scale of Exact Diagonalization on a Quantum-Centric Supercomputer

91 citations · 185 across the 6 of their papers we have counts for

collaborators

6 papers

quant-ph2025

Time complexity in preparing metrologically useful quantum states

Carla M. Quispe Flores, Raphael Kaubruegger, Minh C. Tran +3

We investigate the fundamental time complexity, as constrained by Lieb-Robinson bounds, for preparing entangled states useful in quantum metrology. We relate the minimum time to th…

quant-ph2025★ 1 cited

Improved Quantum Computation using Operator Backpropagation

Bryce Fuller, Minh C. Tran, Danylo Lykov +10

Decoherence of quantum hardware is currently limiting its practical applications. At the same time, classical algorithms for simulating quantum circuits have progressed substantial…

quant-ph2025★ 6 cited

Quantum-Centric Algorithm for Sample-Based Krylov Diagonalization

Jeffery Yu, Javier Robledo Moreno, Joseph T. Iosue +17

Approximating the ground state of many-body systems is a key computational bottleneck underlying important applications in physics and chemistry. The most widely known quantum algo…

quant-ph2024★ 91 cited

Chemistry Beyond the Scale of Exact Diagonalization on a Quantum-Centric Supercomputer

Javier Robledo-Moreno, Mario Motta, Holger Haas +14

A universal quantum computer can simulate diverse quantum systems, with electronic structure for chemistry offering challenging problems for practical use cases around the hundred-…

quant-ph2024★ 2 cited

Hamiltonian Simulation in the Interaction Picture Using the Magnus Expansion

Kunal Sharma, Minh C. Tran

We propose an algorithm for simulating the dynamics of a geometrically local Hamiltonian under a small geometrically local perturbation . In certain regimes, the algorithm…

quant-ph2023★ 85 cited

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Yuri Alexeev, Maximilian Amsler, Paul Baity +124

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…