1.1k citations · 1.2k across the 12 of their papers we have counts for
13 papers
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…
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…
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…
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…
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…
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…
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…
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…
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…
Amplified Amplitude Estimation: Exploiting Prior Knowledge to Improve Estimates of Expectation Values
Sophia Simon, Matthias Degroote, Nikolaj Moll +3
We provide a method for estimating the expectation value of an operator that can utilize prior knowledge to accelerate the learning process on a quantum computer. Specifically, sup…
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…
Towards the Simulation of Large Scale Protein-Ligand Interactions on NISQ-era Quantum Computers
Fionn D. Malone, Robert M. Parrish, Alicia R. Welden +6
We explore the use of symmetry-adapted perturbation theory (SAPT) as a simple and efficient means to compute interaction energies between large molecular systems with a hybrid meth…
Scale-free correlations in bird flocks
Andrea Cavagna, Alessio Cimarelli, Irene Giardina +4
From bird flocks to fish schools, animal groups often seem to react to environmental perturbations as if of one mind. Most studies in collective animal behaviour have aimed to unde…