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20072019
most citedVariational Quantum Computation of Excited States

466 citations · 1.8k across the 19 of their papers we have counts for

collaborators

20 papers

quant-ph2019★ 180 cited

Efficient quantum measurement of Pauli operators in the presence of finite sampling error

Ophelia Crawford, Barnaby van Straaten, Daochen Wang +3

Estimating the expectation value of an operator corresponding to an observable is a fundamental task in quantum computation. It is often impossible to obtain such estimates directl…

quant-ph2018★ 11 cited

Implementing smooth functions of a Hermitian matrix on a quantum computer

Sathyawageeswar Subramanian, Steve Brierley, Richard Jozsa

We review existing methods for implementing smooth functions f(A) of a sparse Hermitian matrix A on a quantum computer, and analyse a further combination of these techniques which…

quant-ph2018★ 466 cited

Variational Quantum Computation of Excited States

Oscar Higgott, Daochen Wang, Stephen Brierley

The calculation of excited state energies of electronic structure Hamiltonians has many important applications, such as the calculation of optical spectra and reaction rates. While…

quant-ph2018★ 240 cited

Accelerated Variational Quantum Eigensolver

Daochen Wang, Oscar Higgott, Stephen Brierley

The problem of finding the ground state energy of a Hamiltonian using a quantum computer is currently solved using either the quantum phase estimation (QPE) or variational quantum…

quant-ph2016★ 23 cited

Convex separation from convex optimization for large-scale problems

Stephen Brierley, Miguel Navascues, Tamas Vertesi

We present a scheme, based on Gilbert's algorithm for quadratic minimization [SIAM J. Contrl., vol. 4, pp. 61-80, 1966], to prove separation between a point and an arbitrary convex…

quant-ph2016

Entanglement Detection with Fewer Measurements based on the Geometric Criterion

Bingjie Wang, Stephen Brierley

We present a new technique to reduce the expected number of measurements to declare an unknown quantum state as entangled. Our method is based on the geometric criterion and so req…