activity
20122020
most citedRobust Online Hamiltonian Learning

212 citations · 377 across the 7 of their papers we have counts for

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10 papers · 1 filter

quant-ph2020

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…

quant-ph20195 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-ph201920 cited

Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers

Guang Hao Low, Nicholas P. Bauman, Christopher E. Granade +9

Fault-tolerant quantum computation promises to solve outstanding problems in quantum chemistry within the next decade. Realizing this promise requires scalable tools that allow use…

quant-ph2019

Bayesian ACRONYM Tuning

John Gamble, Chris Granade, Nathan Wiebe

We provide an algorithm that uses Bayesian randomized benchmarking in concert with a local optimizer, such as SPSA, to find a set of controls that optimizes that average gate fidel…

quant-ph2019100 cited

Downfolding of many-body Hamiltonians using active-space models: extension of the sub-system embedding sub-algebras approach to unitary coupled cluster formalisms

Nicholas P. Bauman, Eric J. Bylaska, Sriram Krishnamoorthy +3

In this paper we outline the extension of recently introduced the sub-system embedding sub-algebras coupled cluster (SES-CC) formalism to the unitary CC formalism. In analogy to th…

quant-ph2018

Magnetic-field-learning using a single electronic spin in diamond with one-photon-readout at room temperature

Raffaele Santagati, Antonio A. Gentile, Sebastian Knauer +11

Nitrogen-vacancy (NV) centres in diamond are appealing nano-scale quantum sensors for temperature, strain, electric fields and, most notably, for magnetic fields. However, the cryo…