activity
20192026
most citedConductance-matrix symmetries of a three-terminal hybrid device

105 citations · 336 across the 19 of their papers we have counts for

collaborators

21 papers

quant-ph2026

Efficient Block Encodings for Ensembles of Molecular Hamiltonians

Cristian L. Cortes, Andrew J. Jenkins, William Pol +8

Accurately characterizing molecular properties and reactivity often requires electronic-structure calculations across an ensemble of molecular geometries. Quantum algorithms that p…

quant-ph2026

Benchmarking a randomized quantum algorithm for estimating expectation values of molecular observables

Anna Schroeder, Gian-Luca R. Anselmetti, Matthias Degroote +5

Randomized quantum algorithms for the estimation of expectation values of molecular observables offer a promising route to early fault-tolerant quantum advantage by trading circuit…

quant-ph2026

Assessing System Capabilities and Bottlenecks of an Early Fault-Tolerant Bicycle Architecture

Kun Liu, Ben Foxman, Gian-Luca R. Anselmetti +1

Early modular fault tolerant quantum computers remain constrained by costly inter-module communication and limited magic state factory service. Understanding such bottlenecks and i…

quant-ph2025

Improving the runtime of quantum phase estimation for chemistry through basis set optimization

Pauline J. Ollitrault, Jerome F. Gonthier, Dario Rocca +5

Quantum phase estimation (QPE) is a promising quantum algorithm for obtaining molecular ground-state energies with chemical accuracy. However, its computational cost, dominated by…

quant-ph2025★ 1 cited

Fullqubit alchemist: Quantum algorithm for alchemical free energy calculations

Po-Wei Huang, Gregory Boyd, Gian-Luca R. Anselmetti +11

Accurately computing the free energies of biological processes is a cornerstone of computer-aided drug design, but it is a daunting task. The need to sample vast conformational spa…

quant-ph2025★ 1 cited

Dividing and Conquering the Van Vleck Catastrophe

Sophia Simon, Gian-Luca R. Anselmetti, Raffaele Santagati +4

The quantum-computational cost of determining ground state energies through quantum phase estimation depends on the overlap between an easily preparable initial state and the targe…

quant-ph2025★ 15 cited

Faster quantum chemistry simulations on a quantum computer with improved tensor factorization and active volume compilation

Athena Caesura, Cristian L. Cortes, William Pol +8

Electronic structure calculations of molecular systems are among the most promising applications for fault-tolerant quantum computing (FTQC) in quantum chemistry and drug design. H…

quant-ph2024

Classical optimisation of reduced density matrix estimations with classical shadows using N-representability conditions under shot noise considerations

Gian-Luca R. Anselmetti, Matthias Degroote, Nikolaj Moll +2

Classical shadow tomography has become a powerful tool in learning about quantum states prepared on a quantum computer. Recent works have used classical shadows to variationally en…

quant-ph2024★ 2 cited

Enhancing initial state overlap through orbital optimization for faster molecular electronic ground-state energy estimation

Pauline J. Ollitrault, Cristian L. Cortes, Jerome F. Gonthier +7

The quantum phase estimation algorithm stands as the primary method for determining the ground state energy of a molecular electronic Hamiltonian on a quantum computer. In this con…

quant-ph2024★ 24 cited

Reducing the runtime of fault-tolerant quantum simulations in chemistry through symmetry-compressed double factorization

Dario Rocca, Cristian L. Cortes, Jerome Gonthier +7

Quantum phase estimation based on qubitization is the state-of-the-art fault-tolerant quantum algorithm for computing ground-state energies in chemical applications. In this contex…

quant-ph2024

Assessing the query complexity limits of quantum phase estimation using symmetry aware spectral bounds

Cristian L. Cortes, Dario Rocca, Jerome Gonthier +7

The computational cost of quantum algorithms for physics and chemistry is closely linked to the spectrum of the Hamiltonian, a property that manifests in the necessary rescaling of…

quant-ph2024★ 13 cited

Tailored and Externally Corrected Coupled Cluster with Quantum Inputs

Maximilian Scheurer, Gian-Luca R. Anselmetti, Oumarou Oumarou +2

We propose to use wavefunction overlaps obtained from a quantum computer as inputs for the classical split-amplitude techniques, tailored and externally corrected coupled cluster,…

quant-ph2023★ 7 cited

Estimation of electrostatic interaction energies on a trapped-ion quantum computer

Pauline J. Ollitrault, Matthias Loipersberger, Robert M. Parrish +12

We present the first hardware implementation of electrostatic interaction energies using a trapped-ion quantum computer. As test system for our computation, we focus on the reducti…

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-ph2022★ 69 cited

Purification-based quantum error mitigation of pair-correlated electron simulations

T. E. O'Brien, G. Anselmetti, F. Gkritsis +173

An important measure of the development of quantum computing platforms has been the simulation of increasingly complex physical systems. Prior to fault-tolerant quantum computing,…

quant-ph2022★ 16 cited

Efficient Quantum Analytic Nuclear Gradients with Double Factorization

Edward G. Hohenstein, Oumarou Oumarou, Rachael Al-Saadon +4

Efficient representations of the Hamiltonian such as double factorization drastically reduce circuit depth or number of repetitions in error corrected and noisy intermediate scale…

quant-ph2022★ 17 cited

Optimizing the information extracted by a single qubit measurement

Stefano Polla, Gian-Luca R. Anselmetti, Thomas E. O'Brien

We consider a quantum computation that only extracts one bit of information per -qubit quantum state preparation. This is relevant for error mitigation schemes where the remaind…

quant-ph2021★ 6 cited

Analytical Ground- and Excited-State Gradients for Molecular Electronic Structure Theory from Hybrid Quantum/Classical Methods

Robert M. Parrish, Gian-Luca R. Anselmetti, Christian Gogolin

We develop analytical gradients of ground- and excited-state energies with respect to system parameters including the nuclear coordinates for the hybrid quantum/classical multistat…

quant-ph2021★ 7 cited

Local, Expressive, Quantum-Number-Preserving VQE Ansatze for Fermionic Systems

Gian-Luca R. Anselmetti, David Wierichs, Christian Gogolin +1

We propose VQE circuit fabrics with advantageous properties for the simulation of strongly correlated ground and excited states of molecules and materials under the Jordan-Wigner m…

cond-mat.mes-hall2019★ 51 cited

End-to-end correlated subgap states in hybrid nanowires

G. L. R. Anselmetti, E. A. Martinez, G. C. Ménard +9

End-to-end correlated bound states are investigated in superconductor-semiconductor hybrid nanowires at zero magnetic field. Peaks in subgap conductance are independently identifie…

cond-mat.mes-hall2019★ 105 cited

Conductance-matrix symmetries of a three-terminal hybrid device

G. C. Ménard, G. L. R. Anselmetti, E. A. Martinez +10

We present conductance-matrix measurements of a three-terminal superconductor-semiconductor hybrid device consisting of two normal leads and one superconducting lead. Using a symme…