Nathan Wiebe

According to our database1, Nathan Wiebe authored at least 47 papers between 2007 and 2022.

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Bibliography

2022
Simulating Effective QED on Quantum Computers.
Quantum, 2022

Quantum Machine Learning with SQUID.
Quantum, 2022

Hybridized Methods for Quantum Simulation in the Interaction Picture.
Quantum, 2022

EQC: ensembled quantum computing for variational quantum algorithms.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

QCCC 2022 Keynote Talk: Hybrid Quantum / Classical Algorithms for Machine Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021
Quantum Model Learning Agent: characterisation of quantum systems through machine learning.
CoRR, 2021

2020
Quantum Algorithms for Simulating the Lattice Schwinger Model.
Quantum, 2020

Operational, gauge-free quantum tomography.
Quantum, 2020

Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization.
Quantum, 2020

Time-dependent Hamiltonian simulation withL1-norm scaling.
Quantum, 2020

Entanglement Induced Barren Plateaus.
CoRR, 2020

Bayesian phase estimation with adaptive grid refinement.
CoRR, 2020

Fast inversion, preconditioned quantum linear system solvers, and fast evaluation of matrix functions.
CoRR, 2020

Learning models of quantum systems from experiments.
CoRR, 2020

2019
LUT-Based Hierarchical Reversible Logic Synthesis.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Ordering of Trotterization: Impact on Errors in Quantum Simulation of Electronic Structure.
Entropy, 2019

A Theory of Trotter Error.
CoRR, 2019

Time-dependent Hamiltonian simulation with $L^1$-norm scaling.
CoRR, 2019

Generative training of quantum Boltzmann machines with hidden units.
CoRR, 2019

Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers.
CoRR, 2019

Bayesian ACRONYM Tuning.
Proceedings of the 14th Conference on the Theory of Quantum Computation, 2019

Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics.
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

Optimizing quantum optimization algorithms via faster quantum gradient computation.
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

2018
A best-fit mapping algorithm to facilitate ESOP-decomposition in Clifford+T quantum network synthesis.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017
Can small quantum systems learn.
Quantum Inf. Comput., 2017

Quantum machine learning.
Nat., 2017

Experimental Phase Estimation Enhanced By Machine Learning.
CoRR, 2017

Pattern recognition techniques for Boson Sampling validation.
CoRR, 2017

Hardening Quantum Machine Learning Against Adversaries.
CoRR, 2017

Logic Synthesis for Quantum Computing.
CoRR, 2017

Design automation and design space exploration for quantum computers.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Design automation for quantum architectures.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Hierarchical Reversible Logic Synthesis Using LUTs.
Proceedings of the 54th Annual Design Automation Conference, 2017

2016
Quantum arithmetic and numerical analysis using Repeat-Until-Success circuits.
Quantum Inf. Comput., 2016

Quantum deep learning.
Quantum Inf. Comput., 2016

Quantum Perceptron Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning.
Quantum Inf. Comput., 2015

The Trotter step size required for accurate quantum simulation of quantum chemistry.
Quantum Inf. Comput., 2015

Partial Reinitialisation for Optimisers.
CoRR, 2015

Quantum Inspired Training for Boltzmann Machines.
CoRR, 2015

Bayesian inference via rejection filtering.
CoRR, 2015

2014
Using Quantum Computing to Learn Physics.
Bull. EATCS, 2014

2013
Robust Online Hamiltonian Learning.
Proceedings of the 8th Conference on the Theory of Quantum Computation, 2013

2012
Hamiltonian simulation using linear combinations of unitary operations.
Quantum Inf. Comput., 2012

2007
A local approach to developing grounded spatial references in multi-robot systems.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007


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