Nathan Wiebe - RankMe

70 papers A* 6A 3Journal 52Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fault-tolerant simulation of Lattice Gauge Theories with gauge covariant codes. Quantum L. Spagnoli, Alessandro Roggero, Nathan Wiebe
2025	—	`conf`	AI, Cybercrime, and Society: Closing the Gap Between Threats and Defenses. CAI Vrushali Channapattan, Gil Baram, Nathan Wiebe, T. C. Niedzialkowski
2025	J	`jnl`	Hamiltonian Learning via Shadow Tomography of Pseudo-Choi States. Quantum Juan Castaneda, Nathan Wiebe
2025	J	`jnl`	Quantum Algorithm for Estimating Gibbs Free Energy and Entropy via Energy Derivatives. CoRR Shangjie Guo, Corneliu Buda, Nathan Wiebe
2025	J	`jnl`	Quantum and classical algorithms for nonlinear unitary dynamics. Quantum Noah Brustle, Nathan Wiebe
2024	J	`jnl`	ARQUIN: Architectures for Multinode Superconducting Quantum Computers. ACM Trans. Quantum Comput. James Ang, Gabriella Carini, Yanzhu Chen, Isaac L. Chuang, Michael DeMarco, Sophia E. Economou, Alec Eickbusch, Andrei Faraon, Kai-Mei Fu, Steven M. Girvin, Michael Hatridge, Andrew A. Houck, Paul Hilaire, Kevin Krsulich, Ang Li, Chenxu Liu, Yuan Liu, Margaret Martonosi, David C. McKay, Jim Misewich, Mark B. Ritter, Robert J. Schoelkopf, Samuel A. Stein, Sara Sussman, Hong Tang, Wei Tang, Teague Tomesh, Norm M. Tubman, Chen Wang, Nathan Wiebe, Yongxin Yao, Dillon Yost, Yiyu Zhou
2024	J	`jnl`	Improved Accuracy for Trotter Simulations Using Chebyshev Interpolation. Quantum Gumaro Rendon, Jacob Watkins, Nathan Wiebe
2023	J	`jnl`	Composite Quantum Simulations. Quantum Matthew Hagan, Nathan Wiebe
2023	A*	`conf`	Exponential quantum speedup in simulating coupled classical oscillators FOCS Ryan Babbush, Dominic W. Berry, Robin Kothari, Rolando D. Somma, Nathan Wiebe
2023	J	`jnl`	Fast quantum algorithm for differential equations. CoRR Mohsen Bagherimehrab, Kouhei Nakaji, Nathan Wiebe, Alán Aspuru-Guzik
2023	J	`jnl`	Gate-based quantum computing for protein design. PLoS Comput. Biol. Mohammad Hassan Khatami, Udson C. Mendes, Nathan Wiebe, Philip M. Kim
2023	A*	`conf`	Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum. ISCA Samuel A. Stein, Nathan Wiebe, Yufei Ding, James Ang, Ang Li
2023	J	`jnl`	Two-Unitary Decomposition Algorithm and Open Quantum System Simulation. Quantum Nishchay Suri, Joseph Barreto, Stuart Hadfield, Nathan Wiebe, Filip A. Wudarski, Jeffrey Marshall
2022	—	`conf`	Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite. IPDPS Workshops Samuel A. Stein, Nathan Wiebe, James Ang, Ang Li
2022	J	`jnl`	Bosonic Qiskit. CoRR Timothy J. Stavenger, Eleanor Crane, Kevin Smith, Christopher T. Kang, Steven M. Girvin, Nathan Wiebe
2022	—	`conf`	C2QA - Bosonic Qiskit. HPEC Timothy J. Stavenger, Eleanor Crane, Kevin Smith, Christopher T. Kang, Steven M. Girvin, Nathan Wiebe
2022	A*	`conf`	EQC: ensembled quantum computing for variational quantum algorithms. ISCA Samuel A. Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker, James Ang, Ang Li
2022	J	`jnl`	Hybridized Methods for Quantum Simulation in the Interaction Picture. Quantum Abhishek Rajput, Alessandro Roggero, Nathan Wiebe
2022	—	`conf`	Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles. IPDPS Workshops Samuel Alexander Stein, Nathan Wiebe, James Ang, Ang Li
2022	—	`conf`	QCCC 2022 Keynote Talk: Hybrid Quantum / Classical Algorithms for Machine Learning. IPDPS Workshops Nathan Wiebe
2022	J	`jnl`	Quantum Machine Learning with SQUID. Quantum Alessandro Roggero, Jakub Filipek, Shih-Chieh Hsu, Nathan Wiebe
2022	J	`jnl`	Simulating Effective QED on Quantum Computers. Quantum Torin F. Stetina, Anthony Ciavarella, Xiaosong Li, Nathan Wiebe
2022	J	`jnl`	Synthesizing efficient circuits for Hamiltonian simulation. CoRR Priyanka Mukhopadhyay, Nathan Wiebe, Hong-Tao Zhang
2021	J	`jnl`	Quantum Model Learning Agent: characterisation of quantum systems through machine learning. CoRR Brian Flynn, Antonio Andrea Gentile, Nathan Wiebe, Raffaele Santagati, Anthony Laing
2020	J	`jnl`	Bayesian phase estimation with adaptive grid refinement. CoRR Ramakrishna Tipireddy, Nathan Wiebe
2020	J	`jnl`	Entanglement Induced Barren Plateaus. CoRR Carlos Ortiz Marrero, Mária Kieferová, Nathan Wiebe
2020	J	`jnl`	Fast inversion, preconditioned quantum linear system solvers, and fast evaluation of matrix functions. CoRR Yu Tong, Dong An, Nathan Wiebe, Lin Lin
2020	J	`jnl`	Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization. Quantum Ian D. Kivlichan, Craig Gidney, Dominic W. Berry, Nathan Wiebe, Jarrod R. McClean, Wei Sun, Zhang Jiang, Nicholas C. Rubin, Austin G. Fowler, Alán Aspuru-Guzik, Hartmut Neven, Ryan Babbush
2020	J	`jnl`	Learning models of quantum systems from experiments. CoRR Antonio A. Gentile, Brian Flynn, Sebastian Knauer, Nathan Wiebe, Stefano Paesani, Christopher E. Granade, John G. Rarity, Raffaele Santagati, Anthony Laing
2020	J	`jnl`	Operational, gauge-free quantum tomography. Quantum Olivia Di Matteo, John King Gamble, Christopher E. Granade, Kenneth M. Rudinger, Nathan Wiebe
2020	J	`jnl`	Quantum Algorithms for Simulating the Lattice Schwinger Model. Quantum Alexander F. Shaw, Pavel Lougovski, Jesse R. Stryker, Nathan Wiebe
2020	J	`jnl`	Time-dependent Hamiltonian simulation withL1-norm scaling. Quantum Dominic W. Berry, Andrew M. Childs, Yuan Su, Xin Wang, Nathan Wiebe
2019	J	`jnl`	A Theory of Trotter Error. CoRR Andrew M. Childs, Yuan Su, Minh C. Tran, Nathan Wiebe, Shuchen Zhu
2019	—	`conf`	Bayesian ACRONYM Tuning. TQC John King Gamble, Christopher E. Granade, Nathan Wiebe
2019	J	`jnl`	Generative training of quantum Boltzmann machines with hidden units. CoRR Nathan Wiebe, Leonard Wossnig
2019	J	`jnl`	LUT-Based Hierarchical Reversible Logic Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mathias Soeken, Martin Roetteler, Nathan Wiebe, Giovanni De Micheli
2019	A*	`conf`	Optimizing quantum optimization algorithms via faster quantum gradient computation. SODA András Gilyén, Srinivasan Arunachalam, Nathan Wiebe
2019	J	`jnl`	Ordering of Trotterization: Impact on Errors in Quantum Simulation of Electronic Structure. Entropy Andrew Tranter, Peter J. Love, Florian Mintert, Nathan Wiebe, Peter V. Coveney
2019	J	`jnl`	Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers. CoRR Guang Hao Low, Nicholas P. Bauman, Christopher E. Granade, Bo Peng, Nathan Wiebe, Eric J. Bylaska, Dave Wecker, Sriram Krishnamoorthy, Martin Roetteler, Karol Kowalski, Matthias Troyer, Nathan A. Baker
2019	A*	`conf`	Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics. STOC András Gilyén, Yuan Su, Guang Hao Low, Nathan Wiebe
2019	J	`jnl`	Time-dependent Hamiltonian simulation with $L^1$-norm scaling. CoRR Dominic W. Berry, Andrew M. Childs, Yuan Su, Xin Wang, Nathan Wiebe
2018	—	`conf`	A best-fit mapping algorithm to facilitate ESOP-decomposition in Clifford+T quantum network synthesis. ASP-DAC Giulia Meuli, Mathias Soeken, Martin Roetteler, Nathan Wiebe, Giovanni De Micheli
2018	J	`jnl`	Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics. CoRR András Gilyén, Yuan Su, Guang Hao Low, Nathan Wiebe
2017	J	`jnl`	Can small quantum systems learn. Quantum Inf. Comput. Nathan Wiebe, Christopher Grandade
2017	A	`conf`	Design automation and design space exploration for quantum computers. DATE Mathias Soeken, Martin Roetteler, Nathan Wiebe, Giovanni De Micheli
2017	A	`conf`	Design automation for quantum architectures. DATE Martin Rötteler, Krysta M. Svore, Dave Wecker, Nathan Wiebe
2017	J	`jnl`	Experimental Phase Estimation Enhanced By Machine Learning. CoRR Alessandro Lumino, Emanuele Polino, Adil S. Rab, Giorgio Milani, Nicolò Spagnolo, Nathan Wiebe, Fabio Sciarrino
2017	J	`jnl`	Hardening Quantum Machine Learning Against Adversaries. CoRR Nathan Wiebe, Ram Shankar Siva Kumar
2017	A*	`conf`	Hierarchical Reversible Logic Synthesis Using LUTs. DAC Mathias Soeken, Martin Roetteler, Nathan Wiebe, Giovanni De Micheli
2017	J	`jnl`	Logic Synthesis for Quantum Computing. CoRR Mathias Soeken, Martin Roetteler, Nathan Wiebe, Giovanni De Micheli
2017	J	`jnl`	Optimizing quantum optimization algorithms via faster quantum gradient computation. CoRR András Gilyén, Srinivasan Arunachalam, Nathan Wiebe
2017	J	`jnl`	Pattern recognition techniques for Boson Sampling validation. CoRR Iris Agresti, Niko Viggianiello, Fulvio Flamini, Nicolò Spagnolo, Andrea Crespi, Roberto Osellame, Nathan Wiebe, Fabio Sciarrino
2017	J	`jnl`	Quantum machine learning. Nat. Jacob D. Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, Seth Lloyd
2016	J	`jnl`	Design Automation and Design Space Exploration for Quantum Computers. CoRR Mathias Soeken, Martin Rötteler, Nathan Wiebe, Giovanni De Micheli
2016	—	`conf`	Quantum Perceptron Models. NIPS Ashish Kapoor, Nathan Wiebe, Krysta M. Svore
2016	J	`jnl`	Quantum Perceptron Models. CoRR Nathan Wiebe, Ashish Kapoor, Krysta M. Svore
2016	J	`jnl`	Quantum arithmetic and numerical analysis using Repeat-Until-Success circuits. Quantum Inf. Comput. Nathan Wiebe, Martin Roetteler
2016	J	`jnl`	Quantum deep learning. Quantum Inf. Comput. Nathan Wiebe, Ashish Kapoor, Krysta M. Svore
2015	J	`jnl`	Bayesian inference via rejection filtering. CoRR Nathan Wiebe, Christopher E. Granade, Ashish Kapoor, Krysta M. Svore
2015	J	`jnl`	Partial Reinitialisation for Optimisers. CoRR Ilia N. Zintchenko, Matthew B. Hastings, Nathan Wiebe, Ethan Brown, Matthias Troyer
2015	J	`jnl`	Quantum Inspired Training for Boltzmann Machines. CoRR Nathan Wiebe, Ashish Kapoor, Christopher E. Granade, Krysta M. Svore
2015	J	`jnl`	Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning. Quantum Inf. Comput. Nathan Wiebe, Ashish Kapoor, Krysta M. Svore
2015	J	`jnl`	The Trotter step size required for accurate quantum simulation of quantum chemistry. Quantum Inf. Comput. David Poulin, Matthew B. Hastings, Dave Wecker, Nathan Wiebe, Andrew C. Doherty, Matthias Troyer
2014	J	`jnl`	Quantum Deep Learning. CoRR Nathan Wiebe, Ashish Kapoor, Krysta M. Svore
2014	J	`jnl`	Quantum arithmetic and numerical analysis using Repeat-Until-Success circuits. CoRR Nathan Wiebe, Martin Roetteler
2014	J	`jnl`	Using Quantum Computing to Learn Physics. Bull. EATCS Nathan Wiebe
2013	—	`conf`	Robust Online Hamiltonian Learning. TQC Christopher E. Granade, Christopher Ferrie, Nathan Wiebe, David G. Cory
2012	J	`jnl`	Hamiltonian simulation using linear combinations of unitary operations. Quantum Inf. Comput. Andrew M. Childs, Nathan Wiebe
2012	J	`jnl`	Robust Online Hamiltonian Learning CoRR Christopher E. Granade, Christopher Ferrie, Nathan Wiebe, David G. Cory
2007	A	`conf`	A local approach to developing grounded spatial references in multi-robot systems. IROS Nathan Wiebe, John Anderson