default search action
Nathan Wiebe
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j21]Gumaro Rendon, Jacob Watkins, Nathan Wiebe:
Improved Accuracy for Trotter Simulations Using Chebyshev Interpolation. Quantum 8: 1266 (2024) - 2023
- [j20]Mohammad Hassan Khatami, Udson C. Mendes, Nathan Wiebe, Philip M. Kim:
Gate-based quantum computing for protein design. PLoS Comput. Biol. 19(4) (2023) - [j19]Nishchay Suri, Joseph Barreto, Stuart Hadfield, Nathan Wiebe, Filip A. Wudarski, Jeffrey Marshall:
Two-Unitary Decomposition Algorithm and Open Quantum System Simulation. Quantum 7: 1002 (2023) - [j18]Matthew Hagan, Nathan Wiebe:
Composite Quantum Simulations. Quantum 7: 1181 (2023) - [c17]Ryan Babbush, Dominic W. Berry, Robin Kothari, Rolando D. Somma, Nathan Wiebe:
Exponential quantum speedup in simulating coupled classical oscillators*. FOCS 2023: 405-414 - [c16]Samuel Alexander Stein, Nathan Wiebe, Yufei Ding, James A. Ang, Ang Li:
Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum. ISCA 2023: 8:1-8:13 - [i26]Mohsen Bagherimehrab, Kouhei Nakaji, Nathan Wiebe, Alán Aspuru-Guzik:
Fast quantum algorithm for differential equations. CoRR abs/2306.11802 (2023) - 2022
- [j17]Torin F. Stetina, Anthony Ciavarella, Xiaosong Li, Nathan Wiebe:
Simulating Effective QED on Quantum Computers. Quantum 6: 622 (2022) - [j16]Alessandro Roggero, Jakub Filipek, Shih-Chieh Hsu, Nathan Wiebe:
Quantum Machine Learning with SQUID. Quantum 6: 727 (2022) - [j15]Abhishek Rajput, Alessandro Roggero, Nathan Wiebe:
Hybridized Methods for Quantum Simulation in the Interaction Picture. Quantum 6: 780 (2022) - [c15]Timothy J. Stavenger, Eleanor Crane, Kevin Smith, Christopher T. Kang, Steven M. Girvin, Nathan Wiebe:
C2QA - Bosonic Qiskit. HPEC 2022: 1-8 - [c14]Nathan Wiebe:
QCCC 2022 Keynote Talk: Hybrid Quantum / Classical Algorithms for Machine Learning. IPDPS Workshops 2022: 599 - [c13]Samuel Alexander Stein, Nathan Wiebe, James A. Ang, Ang Li:
Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles. IPDPS Workshops 2022: 616-617 - [c12]Samuel Alexander Stein, Nathan Wiebe, James A. Ang, Ang Li:
Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite. IPDPS Workshops 2022: 618-624 - [c11]Samuel Alexander Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker, James A. Ang, Ang Li:
EQC: ensembled quantum computing for variational quantum algorithms. ISCA 2022: 59-71 - [i25]Priyanka Mukhopadhyay, Nathan Wiebe, Hong-Tao Zhang:
Synthesizing efficient circuits for Hamiltonian simulation. CoRR abs/2209.03478 (2022) - [i24]Timothy J. Stavenger, Eleanor Crane, Kevin Smith, Christopher T. Kang, Steven M. Girvin, Nathan Wiebe:
Bosonic Qiskit. CoRR abs/2209.11153 (2022) - 2021
- [i23]Brian Flynn, Antonio Andrea Gentile, Nathan Wiebe, Raffaele Santagati, Anthony Laing:
Quantum Model Learning Agent: characterisation of quantum systems through machine learning. CoRR abs/2112.08409 (2021) - 2020
- [j14]Dominic W. Berry, Andrew M. Childs, Yuan Su, Xin Wang, Nathan Wiebe:
Time-dependent Hamiltonian simulation withL1-norm scaling. Quantum 4: 254 (2020) - [j13]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:
Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization. Quantum 4: 296 (2020) - [j12]Alexander F. Shaw, Pavel Lougovski, Jesse R. Stryker, Nathan Wiebe:
Quantum Algorithms for Simulating the Lattice Schwinger Model. Quantum 4: 306 (2020) - [j11]Olivia Di Matteo, John King Gamble, Christopher E. Granade, Kenneth M. Rudinger, Nathan Wiebe:
Operational, gauge-free quantum tomography. Quantum 4: 364 (2020) - [i22]Antonio A. Gentile, Brian Flynn, Sebastian Knauer, Nathan Wiebe, Stefano Paesani, Christopher E. Granade, John G. Rarity, Raffaele Santagati, Anthony Laing:
Learning models of quantum systems from experiments. CoRR abs/2002.06169 (2020) - [i21]Yu Tong, Dong An, Nathan Wiebe, Lin Lin:
Fast inversion, preconditioned quantum linear system solvers, and fast evaluation of matrix functions. CoRR abs/2008.13295 (2020) - [i20]Ramakrishna Tipireddy, Nathan Wiebe:
Bayesian phase estimation with adaptive grid refinement. CoRR abs/2009.07898 (2020) - [i19]Carlos Ortiz Marrero, Mária Kieferová, Nathan Wiebe:
Entanglement Induced Barren Plateaus. CoRR abs/2010.15968 (2020)
2010 – 2019
- 2019
- [j10]Andrew Tranter, Peter J. Love, Florian Mintert, Nathan Wiebe, Peter V. Coveney:
Ordering of Trotterization: Impact on Errors in Quantum Simulation of Electronic Structure. Entropy 21(12): 1218 (2019) - [j9]Mathias Soeken, Martin Roetteler, Nathan Wiebe, Giovanni De Micheli:
LUT-Based Hierarchical Reversible Logic Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(9): 1675-1688 (2019) - [c10]András Gilyén, Srinivasan Arunachalam, Nathan Wiebe:
Optimizing quantum optimization algorithms via faster quantum gradient computation. SODA 2019: 1425-1444 - [c9]András Gilyén, Yuan Su, Guang Hao Low, Nathan Wiebe:
Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics. STOC 2019: 193-204 - [c8]John King Gamble, Christopher E. Granade, Nathan Wiebe:
Bayesian ACRONYM Tuning. TQC 2019: 7:1-7:19 - [i18]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:
Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers. CoRR abs/1904.01131 (2019) - [i17]Nathan Wiebe, Leonard Wossnig:
Generative training of quantum Boltzmann machines with hidden units. CoRR abs/1905.09902 (2019) - [i16]Dominic W. Berry, Andrew M. Childs, Yuan Su, Xin Wang, Nathan Wiebe:
Time-dependent Hamiltonian simulation with $L^1$-norm scaling. CoRR abs/1906.07115 (2019) - [i15]Andrew M. Childs, Yuan Su, Minh C. Tran, Nathan Wiebe, Shuchen Zhu:
A Theory of Trotter Error. CoRR abs/1912.08854 (2019) - 2018
- [c7]Giulia Meuli, Mathias Soeken, Martin Roetteler, Nathan Wiebe, Giovanni De Micheli:
A best-fit mapping algorithm to facilitate ESOP-decomposition in Clifford+T quantum network synthesis. ASP-DAC 2018: 664-669 - [i14]András Gilyén, Yuan Su, Guang Hao Low, Nathan Wiebe:
Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics. CoRR abs/1806.01838 (2018) - 2017
- [j8]Jacob D. Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, Seth Lloyd:
Quantum machine learning. Nat. 549(7671): 195-202 (2017) - [j7]Nathan Wiebe, Christopher Grandade:
Can small quantum systems learn. Quantum Inf. Comput. 17(7&8): 567-594 (2017) - [c6]Mathias Soeken, Martin Roetteler, Nathan Wiebe, Giovanni De Micheli:
Hierarchical Reversible Logic Synthesis Using LUTs. DAC 2017: 78:1-78:6 - [c5]Mathias Soeken, Martin Roetteler, Nathan Wiebe, Giovanni De Micheli:
Design automation and design space exploration for quantum computers. DATE 2017: 470-475 - [c4]Martin Rötteler, Krysta M. Svore, Dave Wecker, Nathan Wiebe:
Design automation for quantum architectures. DATE 2017: 1312-1317 - [i13]Mathias Soeken, Martin Roetteler, Nathan Wiebe, Giovanni De Micheli:
Logic Synthesis for Quantum Computing. CoRR abs/1706.02721 (2017) - [i12]András Gilyén, Srinivasan Arunachalam, Nathan Wiebe:
Optimizing quantum optimization algorithms via faster quantum gradient computation. CoRR abs/1711.00465 (2017) - [i11]Nathan Wiebe, Ram Shankar Siva Kumar:
Hardening Quantum Machine Learning Against Adversaries. CoRR abs/1711.06652 (2017) - [i10]Iris Agresti, Niko Viggianiello, Fulvio Flamini, Nicolò Spagnolo, Andrea Crespi, Roberto Osellame, Nathan Wiebe, Fabio Sciarrino:
Pattern recognition techniques for Boson Sampling validation. CoRR abs/1712.06863 (2017) - [i9]Alessandro Lumino, Emanuele Polino, Adil S. Rab, Giorgio Milani, Nicolò Spagnolo, Nathan Wiebe, Fabio Sciarrino:
Experimental Phase Estimation Enhanced By Machine Learning. CoRR abs/1712.07570 (2017) - 2016
- [j6]Nathan Wiebe, Martin Roetteler:
Quantum arithmetic and numerical analysis using Repeat-Until-Success circuits. Quantum Inf. Comput. 16(1&2): 134-178 (2016) - [j5]Nathan Wiebe, Ashish Kapoor, Krysta M. Svore:
Quantum deep learning. Quantum Inf. Comput. 16(7&8): 541-587 (2016) - [c3]Ashish Kapoor, Nathan Wiebe, Krysta M. Svore:
Quantum Perceptron Models. NIPS 2016: 3999-4007 - [i8]Nathan Wiebe, Ashish Kapoor, Krysta M. Svore:
Quantum Perceptron Models. CoRR abs/1602.04799 (2016) - [i7]Mathias Soeken, Martin Rötteler, Nathan Wiebe, Giovanni De Micheli:
Design Automation and Design Space Exploration for Quantum Computers. CoRR abs/1612.00631 (2016) - 2015
- [j4]Nathan Wiebe, Ashish Kapoor, Krysta M. Svore:
Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning. Quantum Inf. Comput. 15(3&4): 316-356 (2015) - [j3]David Poulin, Matthew B. Hastings, Dave Wecker, Nathan Wiebe, Andrew C. Doherty, Matthias Troyer:
The Trotter step size required for accurate quantum simulation of quantum chemistry. Quantum Inf. Comput. 15(5&6): 361-384 (2015) - [i6]Nathan Wiebe, Ashish Kapoor, Christopher E. Granade, Krysta M. Svore:
Quantum Inspired Training for Boltzmann Machines. CoRR abs/1507.02642 (2015) - [i5]Nathan Wiebe, Christopher E. Granade, Ashish Kapoor, Krysta M. Svore:
Bayesian inference via rejection filtering. CoRR abs/1511.06458 (2015) - [i4]Ilia N. Zintchenko, Matthew B. Hastings, Nathan Wiebe, Ethan Brown, Matthias Troyer:
Partial Reinitialisation for Optimisers. CoRR abs/1512.03025 (2015) - 2014
- [j2]Nathan Wiebe:
Using Quantum Computing to Learn Physics. Bull. EATCS 112 (2014) - [i3]Nathan Wiebe, Martin Roetteler:
Quantum arithmetic and numerical analysis using Repeat-Until-Success circuits. CoRR abs/1406.2040 (2014) - [i2]Nathan Wiebe, Ashish Kapoor, Krysta M. Svore:
Quantum Deep Learning. CoRR abs/1412.3489 (2014) - 2013
- [c2]Christopher E. Granade, Christopher Ferrie, Nathan Wiebe, David G. Cory:
Robust Online Hamiltonian Learning. TQC 2013: 106-125 - 2012
- [j1]Andrew M. Childs, Nathan Wiebe:
Hamiltonian simulation using linear combinations of unitary operations. Quantum Inf. Comput. 12(11-12): 901-924 (2012) - [i1]Christopher E. Granade, Christopher Ferrie, Nathan Wiebe, David G. Cory:
Robust Online Hamiltonian Learning. CoRR abs/1207.1655 (2012)
2000 – 2009
- 2007
- [c1]Nathan Wiebe, John Anderson:
A local approach to developing grounded spatial references in multi-robot systems. IROS 2007: 1357-1364
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 21:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint