activity
20232026
most citedInitial state preparation for quantum chemistry on quantum computers

48 citations · 56 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Quantum-Classical Auxiliary-Field Quantum Monte Carlo at the Edge of Practicability

Francesco Nappi, Matthew Kiser, Fedor Šimkovic

We introduce algorithmic improvements to quantum-classical auxiliary-field quantum Monte Carlo (QC-AFQMC) that reduce the dominant per-step classical scaling from $\tilde{\mathcal{…

quant-ph2026

Compiling Quantum Regular Language States

Armando Bellante, Reinis Irmejs, Marta Florido-Llinàs +4

State preparation compilers for quantum computers typically sit at two extremes: general-purpose routines that treat the target as an opaque amplitude vector, and bespoke construct…

quant-ph2025

Gaussian tomography for cold-atom simulators

Matthew Kiser, Max McGinley, Daniel Malz

A limitation of analog quantum simulators based on cold atoms in optical lattices is that readout is typically limited to observables diagonal in the charge basis, i.e., densities…

quant-ph2024★ 1 cited

Contextual Subspace Auxiliary-Field Quantum Monte Carlo: Improved bias with reduced quantum resources

Matthew Kiser, Matthias Beuerle, Fedor Simkovic

Using trial wavefunctions prepared on quantum devices to reduce the bias of auxiliary-field quantum Monte Carlo (QC-AFQMC) has established itself as a promising hybrid approach to…

quant-ph2023★ 2 cited

Classical and quantum cost of measurement strategies for quantum-enhanced auxiliary field Quantum Monte Carlo

Matthew Kiser, Anna Schroeder, Gian-Luca R. Anselmetti +4

Quantum-enhanced auxiliary field quantum Monte Carlo (QC-AFQMC) uses output from a quantum computer to increase the accuracy of its classical counterpart. The algorithm requires th…

quant-ph2023★ 48 cited

Initial state preparation for quantum chemistry on quantum computers

Stepan Fomichev, Kasra Hejazi, Modjtaba Shokrian Zini +8

Quantum algorithms for ground-state energy estimation of chemical systems require a high-quality initial state. However, initial state preparation is commonly either neglected enti…

quant-ph2023★ 5 cited

Quantum-enhanced quantum Monte Carlo: an industrial view

Maximilian Amsler, Peter Deglmann, Matthias Degroote +10

In this work, we test a recently developed method to enhance classical auxiliary-field quantum Monte Carlo (AFQMC) calculations with quantum computers against examples from chemist…