Isaac L. Chuang

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 23

Top Topics

Pac Learnability

Linear Separability

Top Venues

Publications

Andrew K. Tan, Matthew Ho, Isaac L. Chuang
On reliable computation over larger alphabets. CoRR (2023)
Samuel Alexander Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Frederic T. Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco
Microarchitectures for Heterogeneous Superconducting Quantum Computers. CoRR (2023)
Tatsuhiko N. Ikeda, Asir Abrar, Isaac L. Chuang, Sho Sugiura
Minimum Trotterization Formulas for a Time-Dependent Hamiltonian. Quantum 7 (2023)
Andrew K. Tan, Isaac L. Chuang
Resource savings from fault-tolerant circuit design. CoRR (2023)
Samuel Alexander Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James A. Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Fred Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco
HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems. MICRO (2023)
Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Max Tegmark, Isaac L. Chuang
Biological error correction codes generate fault-tolerant neural networks. CoRR (2022)
Andrew K. Tan, Max Tegmark, Isaac L. Chuang
Pareto-optimal clustering with the primal deterministic information bottleneck. CoRR (2022)
Zane M. Rossi, Isaac L. Chuang
Multivariable quantum signal processing (M-QSP): prophecies of the two-headed oracle. Quantum 6 (2022)
Andrew K. Tan, Max Tegmark, Isaac L. Chuang
Pareto-Optimal Clustering with the Primal Deterministic Information Bottleneck. Entropy 24 (6) (2022)
Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang
Confident Learning: Estimating Uncertainty in Dataset Labels. J. Artif. Intell. Res. 70 (2021)
Arkopal Dutt, Edwin Pednault, Chai Wah Wu, Sarah Sheldon, John Smolin, Lev Bishop, Isaac L. Chuang
Active Learning of Quantum System Hamiltonians yields Query Advantage. CoRR (2021)
Tailin Wu, Ian S. Fischer, Isaac L. Chuang, Max Tegmark
Learnability for the Information Bottleneck. Entropy 21 (10) (2019)
Tailin Wu, Ian S. Fischer, Isaac L. Chuang, Max Tegmark
Learnability for the Information Bottleneck. UAI (2019)
Tailin Wu, Ian S. Fischer, Isaac L. Chuang, Max Tegmark
Learnability for the Information Bottleneck. CoRR (2019)
Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang
Confident Learning: Estimating Uncertainty in Dataset Labels. CoRR (2019)
Ilia Rushkin, Isaac L. Chuang, Dustin Tingley
Modelling and Using Response Times in Online Courses. J. Learn. Anal. 6 (3) (2019)
Ilia Rushkin, Isaac L. Chuang, Dustin Tingley
Modelling and Using Response Times in Online Courses. CoRR (2018)
Tailin Wu, John Peurifoy, Isaac L. Chuang, Max Tegmark
Meta-learning autoencoders for few-shot prediction. CoRR (2018)
Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. CoRR (2017)
Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. UAI (2017)
Glenn Lopez, Daniel T. Seaton, Andrew M. Ang, Dustin Tingley, Isaac L. Chuang
Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data. L@S (2017)
Amira M. Eltony, Dorian Gangloff, Molu Shi, Alexei Bylinskii, Vladan Vuletic, Isaac L. Chuang
Technologies for trapped-ion quantum information systems. Quantum Inf. Process. 15 (12) (2016)
Curtis G. Northcutt, Andrew D. Ho, Isaac L. Chuang
Detecting and preventing "multiple-account" cheating in massive open online courses. Comput. Educ. 100 (2016)
Curtis G. Northcutt, Andrew D. Ho, Isaac L. Chuang
Detecting and Preventing "Multiple-Account" Cheating in Massive Open Online Courses. CoRR (2015)
Cody A. Coleman, Daniel T. Seaton, Isaac L. Chuang
Probabilistic Use Cases: Discovering Behavioral Patterns for Predicting Certification. L@S (2015)
Sergiy O. Nesterko, Daniel T. Seaton, Justin Reich, Joseph McIntyre, Qiuyi Han, Isaac L. Chuang, Andrew D. Ho
Due dates in MOOCs: does stricter mean better? L@S (2014)
Guang Hao Low, Theodore J. Yoder, Isaac L. Chuang
Quantum Inference on Bayesian Networks. CoRR (2014)
Daniel T. Seaton, Yoav Bergner, Isaac L. Chuang, Piotr Mitros, David E. Pritchard
Who does what in a massive open online course? Commun. ACM 57 (4) (2014)
Jon P. Daries, Justin Reich, Jim Waldo, Elise M. Young, Jonathan Whittinghill, Andrew D. Ho, Daniel T. Seaton, Isaac L. Chuang
Privacy, anonymity, and big data in the social sciences. Commun. ACM 57 (9) (2014)
Daniel T. Seaton, Albert J. Rodenius, Cody A. Coleman, David E. Pritchard, Isaac L. Chuang
Analysis of Video Use in edX Courses. AIED Workshops (2013)
Daniel T. Seaton, Yoav Bergner, Isaac L. Chuang, Piotr Mitros, David E. Pritchard
Towards Real-Time Analytics in MOOCs. IWTA@LAK (2013)
Bei Zeng, Andrew W. Cross, Isaac L. Chuang
Transversality Versus Universality for Additive Quantum Codes. IEEE Trans. Inf. Theory 57 (9) (2011)
David R. Leibrandt, Jaroslaw Labaziewicz, Robert J. Clark, Isaac L. Chuang, Ryan J. Epstein, Christian Ospelkaus, Janus H. Wesenberg, John J. Bollinger, Dietrich Leibfried, David J. Wineland, Daniel Stick, Jonathan D. Sterk, Christopher R. Monroe, Chien-Shing Pai, Yee Low, Robert E. Frahm, Richart E. Slusher
Demonstration of a scalable, multiplexed ion trap for quantum information processing. Quantum Inf. Comput. 9 (11&12) (2009)
Tzvetan S. Metodi, Darshan D. Thaker, Andrew W. Cross, Isaac L. Chuang, Frederic T. Chong
High-level interconnect model for the quantum logic array architecture. ACM J. Emerg. Technol. Comput. Syst. 4 (1) (2008)
Tzvetan S. Metodi, Andrew W. Cross, Darshan D. Thaker, Isaac L. Chuang, Frederic T. Chong
Design-space exploration of fault-tolerant building blocks for large-scale quantum computing. NANOARCH (2007)
Dave Bacon, Isaac L. Chuang, Aram W. Harrow
The quantum Schur and Clebsch-Gordan transforms: I. efficient qudit circuits. SODA (2007)
Krysta M. Svore, Alfred V. Aho, Andrew W. Cross, Isaac L. Chuang, Igor L. Markov
A Layered Software Architecture for Quantum Computing Design Tools. Computer 39 (1) (2006)
Darshan D. Thaker, Tzvetan S. Metodi, Andrew W. Cross, Isaac L. Chuang, Frederic T. Chong
Quantum Memory Hierarchies: Efficient Designs to Match Available Parallelism in Quantum Computing. ISCA (2006)
Krysta M. Svore, Andrew W. Cross, Isaac L. Chuang, Alfred V. Aho
A flow-map model for analyzing pseudothresholds in fault-tolerant quantum computing. Quantum Inf. Comput. 6 (3) (2006)
Darshan D. Thaker, Francois Impens, Isaac L. Chuang, Rajeevan Amirtharajah, Frederic T. Chong
Recursive TMR: Scaling Fault Tolerance in the Nanoscale Era. IEEE Des. Test Comput. 22 (4) (2005)
Nemanja Isailovic, Mark Whitney, Yatish Patel, John Kubiatowicz, Dean Copsey, Frederic T. Chong, Isaac L. Chuang, Mark Oskin
Datapath and control for quantum wires. ACM Trans. Archit. Code Optim. 1 (1) (2004)
Chandrasekhar Ramanathan, Nicolas Boulant, Zhiying Chen, David G. Cory, Isaac L. Chuang, Matthias Steffen
NMR Quantum Information Processing. Quantum Inf. Process. 3 (1-5) (2004)
Dean Copsey, Mark Oskin, Tzvetan S. Metodi, Frederic T. Chong, Isaac L. Chuang, John Kubiatowicz
The effect of communication costs in solid-state quantum computing architectures. SPAA (2003)
Mark Oskin, Frederic T. Chong, Isaac L. Chuang, John Kubiatowicz
Building Quantum Wires: The Long and the Short of It. ISCA (2003)
Mark Oskin, Frederic T. Chong, Isaac L. Chuang
A Practical Architecture for Reliable Quantum Computers. Computer 35 (1) (2002)
Lieven M. K. Vandersypen, Isaac L. Chuang
NMR quantum computing: lessons for the future. Quantum Inf. Comput. 1 (4) (2001)
Matthias Steffen, Lieven M. K. Vandersypen, Isaac L. Chuang
Toward Quantum Computation: A Five-Qubit Quantum Processor. IEEE Micro 21 (2) (2001)
Isaac L. Chuang, Dharmendra S. Modha
Reversible arithmetic coding for quantum data compression. IEEE Trans. Inf. Theory 46 (3) (2000)