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20162026
most citedHardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets

3k citations · 7.4k across the 49 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

quant-ph2025★ 1 cited

Adiabatic state preparation from general initial states

Bryce Fuller, Mario Motta, Stuart M. Harwood +4

A variety of quantum computing algorithms exist for the preparation of approximate Hamiltonian ground states. A natural and important question is how these ground-state approximati…

quant-ph2025

Closed-loop calculations of electronic structure on a quantum processor and a classical supercomputer at full scale

Tomonori Shirakawa, Javier Robledo-Moreno, Toshinari Itoko +18

Quantum computers must operate in concert with classical computers to deliver on the promise of quantum advantage for practical problems. To achieve that, it is important to unders…

quant-ph2025★ 3 cited

Quantum chemistry with provable convergence via randomized sample-based Krylov quantum diagonalization

Samuele Piccinelli, Alberto Baiardi, Stefano Barison +12

Quantum algorithms based on classical processing of individual samples have recently emerged as a promising route to perform large-scale quantum-chemical calculations on pre-fault-…

quant-ph2025

Non-equilibrium thermodynamics of precision through a quantum-centric computation

Mario Motta, Antonio Mezzacapo, Giacomo Guarnieri

Thermodynamic uncertainty relations (TURs) are a set of inequalities expressing a fundamental trade-off between precision and dissipation in non-equilibrium classical and quantum t…

quant-ph2025★ 2 cited

Scaling active spaces in simulations of surface reactions through sample-based quantum diagonalization

Marco Antonio Barroca, Tanvi Gujarati, Vidushi Sharma +6

Quantum-chemical simulations are essential for predicting energies of chemical reactions. Accurately solving the many-body Schrödinger equation for reagent and product states of mo…

quant-ph2025★ 2 cited

Computing band gaps of periodic materials via sample-based quantum diagonalization

Alan Duriez, Pamela C. Carvalho, Marco Antonio Barroca +7

A key objective of computational solid state physics is to predict electronic properties of periodic materials. However, electronic structure simulations based on density functiona…

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…