4.7k citations · 16.5k across the 115 of their papers we have counts for
10 papers · 2 filters
Even more efficient quantum computations of chemistry through tensor hypercontraction
Joonho Lee, Dominic W. Berry, Craig Gidney +4
We describe quantum circuits with only Toffoli complexity that block encode the spectra of quantum chemistry Hamiltonians in a basis of arbitrary (e.g.,…
Entanglement Induced Barren Plateaus
Carlos Ortiz Marrero, Mária Kieferová, Nathan Wiebe
We argue that an excess in entanglement between the visible and hidden units in a Quantum Neural Network can hinder learning. In particular, we show that quantum neural networks th…
Bayesian phase estimation with adaptive grid refinement
Ramakrishna Tipireddy, Nathan Wiebe
We introduce a novel Bayesian phase estimation technique based on adaptive grid refinement method. This method automatically chooses the number particles needed for accurate phase…
Compilation of Fault-Tolerant Quantum Heuristics for Combinatorial Optimization
Yuval R. Sanders, Dominic W. Berry, Pedro C. S. Costa +5
Here we explore which heuristic quantum algorithms for combinatorial optimization might be most practical to try out on a small fault-tolerant quantum computer. We compile circuits…
Fast inversion, preconditioned quantum linear system solvers, and fast evaluation of matrix functions
Yu Tong, Dong An, Nathan Wiebe +1
Preconditioning is the most widely used and effective way for treating ill-conditioned linear systems in the context of classical iterative linear system solvers. We introduce a qu…
Operational, gauge-free quantum tomography
Olivia Di Matteo, John Gamble, Chris Granade +2
As increasingly impressive quantum information processors are realized in laboratories around the world, robust and reliable characterization of these devices is now more urgent th…
Hartree-Fock on a superconducting qubit quantum computer
Frank Arute, Kunal Arya, Ryan Babbush +79
As the search continues for useful applications of noisy intermediate scale quantum devices, variational simulations of fermionic systems remain one of the most promising direction…
Learning models of quantum systems from experiments
Antonio A. Gentile, Brian Flynn, Sebastian Knauer +6
An isolated system of interacting quantum particles is described by a Hamiltonian operator. Hamiltonian models underpin the study and analysis of physical and chemical processes th…
Quantum Algorithms for Simulating the Lattice Schwinger Model
Alexander F. Shaw, Pavel Lougovski, Jesse R. Stryker +1
The Schwinger model (quantum electrodynamics in 1+1 dimensions) is a testbed for the study of quantum gauge field theories. We give scalable, explicit digital quantum algorithms to…
A Variational Quantum Algorithm for Preparing Quantum Gibbs States
Anirban N. Chowdhury, Guang Hao Low, Nathan Wiebe
Preparation of Gibbs distributions is an important task for quantum computation. It is a necessary first step in some types of quantum simulations and further is essential for quan…