Christopher Granade

Microsoft (United States) — United States

Computer Science · Physical Sciences

19h-index1.3kcitations47works0.02yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(26), Quantum Information and Cryptography(25), Gaussian Processes and Bayesian Inference(10), Quantum and electron transport phenomena(6), Quantum Mechanics and Applications(5)

Publications47 total

SV-sim
2021· 36 cited
Learning models of quantum systems from experiments
Nature Physics·2021· 64 citedOpen Access
A Resource Estimation and Verification Workflow in Q# Special session paper
2021· 1 cited
Toward Quantum Computing for High-Energy Excited States in Molecular Systems: Quantum Phase Estimations of Core-Level States
Journal of Chemical Theory and Computation·2020· 36 cited
Towards quantum computing for high-energy excited states in molecular systems: quantum phase estimations of core-level states
arXiv (Cornell University)·2020Open Access
Experimental demonstration of a quantum model learning agent
Frontiers in Optics / Laser Science·2020
Phase estimation with randomized Hamiltonians
arXiv (Cornell University)·2019· 4 citedOpen Access
Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers
arXiv (Cornell University)·2019· 20 citedOpen Access
Towards Autonomous Tuning of Double Quantum Dots
Bulletin of the American Physical Society·2019
Hamiltonian Learning on Superconducting Qubits using Bayesian Inference
Bulletin of the American Physical Society·2019
Bayesian ACRONYM Tuning
2019
Hamiltonian learning for the estimation of magnetic fields with nanoscale quantum sensors
2019
Tailored Codes for Small Quantum Memories
Physical Review Applied·2017· 1 citedOpen Access
Structured filtering
New Journal of Physics·2017· 6 citedOpen Access
Can small quantum systems learn
Quantum Information and Computation·2017· 6 citedOpen Access
QInfer: Statistical inference software for quantum applications
Quantum·2017· 40 citedOpen Access
Explaining quantum correlations through evolution of causal models
Physical review. A/Physical review, A·2017· 3 citedOpen Access
When states can create gates, quantum process tomography becomes quantum state tomography
Bulletin of the American Physical Society·2017
Bayesian ACRONYM Tuning
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)·2017· 19 citedOpen Access
python-qinfer: v1.0b4
Zenodo (CERN European Organization for Nuclear Research)·2016Open Access
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Frequent Co-authors

Nathan Wiebe(19), David G. Cory(17), Christopher Ferrie(14), Nathan Wiebe(5), Sebastian Knauer(4), Stefano Paesani(4), Raffaele Santagati(4), Anthony Laing(4), Troy W. Borneman(4), Martin Roetteler(4), Sriram Krishnamoorthy(4), Matthias Troyer(4), Antonio A. Gentile(3), John Rarity(3), Easwar Magesan(3), Daniel Puzzuoli(3), Ian Hincks(3), Nicholas P. Bauman(3), Eric J. Bylaska(3), Guang Hao Low(3)