68 citations · 115 across the 4 of their papers we have counts for
7 papers · 1 filter
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…
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…
Natural Evolutionary Strategies for Variational Quantum Computation
Abhinav Anand, Matthias Degroote, Alán Aspuru-Guzik
Natural evolutionary strategies (NES) are a family of gradient-free black-box optimization algorithms. This study illustrates their use for the optimization of randomly-initialized…
Tequila: A platform for rapid development of quantum algorithms
Jakob S. Kottmann, Sumner Alperin-Lea, Teresa Tamayo-Mendoza +15
Variational quantum algorithms are currently the most promising class of algorithms for deployment on near-term quantum computers. In contrast to classical algorithms, there are al…
Noise robustness and experimental demonstration of a quantum generative adversarial network for continuous distributions
Abhinav Anand, Jonathan Romero, Matthias Degroote +1
The potential advantage of machine learning in quantum computers is a topic of intense discussion in the literature. Theoretical, numerical and experimental explorations will most…
An Artificial Spiking Quantum Neuron
Lasse Bjørn Kristensen, Matthias Degroote, Peter Wittek +2
Artificial spiking neural networks have found applications in areas where the temporal nature of activation offers an advantage, such as time series prediction and signal processin…