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20052023
most citedQuantum Machine Learning

4.7k citations · 16.5k across the 115 of their papers we have counts for

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Showing 2019 · quant-phShow all

14 papers · 2 filters

quant-ph2019★ 50 cited

Ordering of Trotterization: Impact on Errors in Quantum Simulation of Electronic Structure

Andrew Tranter, Peter J. Love, Florian Mintert +2

Trotter-Suzuki decompositions are frequently used in the quantum simulation of quantum chemistry. They transform the evolution operator into a form implementable on a quantum devic…

quant-ph2019★ 46 cited

Autonomous tuning and charge state detection of gate defined quantum dots

J. Darulová, S. J. Pauka, N. Wiebe +5

Defining quantum dots in semiconductor based heterostructures is an essential step in initializing solid-state qubits. With growing device complexity and increasing number of funct…

quant-ph2019★ 486 cited

A Theory of Trotter Error

Andrew M. Childs, Yuan Su, Minh C. Tran +2

The Lie-Trotter formula, together with its higher-order generalizations, provides a direct approach to decomposing the exponential of a sum of operators. Despite significant effort…

quant-ph2019★ 5 cited

Phase estimation with randomized Hamiltonians

Ian D. Kivlichan, Christopher E. Granade, Nathan Wiebe

Iterative phase estimation has long been used in quantum computing to estimate Hamiltonian eigenvalues. This is done by applying many repetitions of the same fundamental simulation…

quant-ph2019★ 252 cited

Efficient and Noise Resilient Measurements for Quantum Chemistry on Near-Term Quantum Computers

William J. Huggins, Jarrod McClean, Nicholas Rubin +4

Variational algorithms are a promising paradigm for utilizing near-term quantum devices for modeling electronic states of molecular systems. However, previous bounds on the measure…

quant-ph2019★ 13 cited

Well-conditioned multiproduct Hamiltonian simulation

Guang Hao Low, Vadym Kliuchnikov, Nathan Wiebe

Product formula approximations of the time-evolution operator on quantum computers are of great interest due to their simplicity, and good scaling with system size by exploiting co…