Isaac L. Chuang

According to our database, Isaac L. Chuang authored at least 54 papers between 2000 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Proof of a perfect platonic representation hypothesis.

Ziyin Liu, Isaac L. Chuang

CoRR, July, 2025

Neural Thermodynamics I: Entropic Forces in Deep and Universal Representation Learning.

Liu Ziyin, Yizhou Xu, Isaac L. Chuang

CoRR, May, 2025

Heterosynaptic Circuits Are Universal Gradient Machines.

Liu Ziyin, Isaac L. Chuang, Tomaso A. Poggio

CoRR, May, 2025

Parameter Symmetry Breaking and Restoration Determines the Hierarchical Learning in AI Systems.

Liu Ziyin, Yizhou Xu, Tomaso A. Poggio, Isaac L. Chuang

CoRR, February, 2025

Modular quantum signal processing in many variables.

Zane M. Rossi, Jack L. Ceroni, Isaac L. Chuang

Quantum, 2025

Parallel Quantum Signal Processing Via Polynomial Factorization.

John M. Martyn, Zane M. Rossi, Kevin Z. Cheng, Yuan Liu, Isaac L. Chuang

Quantum, 2025

Remove Symmetries to Control Model Expressivity and Improve Optimization.

Liu Ziyin, Yizhou Xu, Isaac L. Chuang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Formation of Representations in Neural Networks.

Liu Ziyin, Isaac L. Chuang, Tomer Galanti, Tomaso A. Poggio

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Reliable Computation by Large-Alphabet Formulas in the Presence of Noise.

Andrew K. Tan, Matthew H. Ho, Isaac L. Chuang

IEEE Trans. Inf. Theory, December, 2024

Single-shot Quantum Signal Processing Interferometry.

Jasmine Sinanan-Singh, Gabriel L. Mintzer, Isaac L. Chuang, Yuan Liu

Quantum, 2024

Remove Symmetries to Control Model Expressivity.

Liu Ziyin, Yizhou Xu, Isaac L. Chuang

CoRR, 2024

2023

Minimum Trotterization Formulas for a Time-Dependent Hamiltonian.

Tatsuhiko N. Ikeda, Asir Abrar, Isaac L. Chuang, Sho Sugiura

Quantum, November, 2023

Resource savings from fault-tolerant circuit design.

Andrew K. Tan, Isaac L. Chuang

CoRR, 2023

On reliable computation over larger alphabets.

Andrew K. Tan, Matthew Ho, Isaac L. Chuang

CoRR, 2023

Microarchitectures for Heterogeneous Superconducting Quantum Computers.

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, Frederic T. Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco

CoRR, 2023

HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems.

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

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

2022

Multivariable quantum signal processing (M-QSP): prophecies of the two-headed oracle.

Zane M. Rossi, Isaac L. Chuang

Quantum, September, 2022

Pareto-Optimal Clustering with the Primal Deterministic Information Bottleneck.

Andrew K. Tan, Max Tegmark, Isaac L. Chuang

Entropy, 2022

Biological error correction codes generate fault-tolerant neural networks.

Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Max Tegmark, Isaac L. Chuang

CoRR, 2022

2021

Confident Learning: Estimating Uncertainty in Dataset Labels.

Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang

J. Artif. Intell. Res., 2021

Active Learning of Quantum System Hamiltonians yields Query Advantage.

Arkopal Dutt, Edwin Pednault, Chai Wah Wu, Sarah Sheldon, John Smolin, Lev Bishop, Isaac L. Chuang

CoRR, 2021

2019

Modelling and Using Response Times in Online Courses.

Ilia Rushkin, Isaac L. Chuang, Dustin Tingley

J. Learn. Anal., December, 2019

Hamiltonian Simulation by Qubitization.

Guang Hao Low, Isaac L. Chuang

Quantum, 2019

Learnability for the Information Bottleneck.

Tailin Wu, Ian S. Fischer, Isaac L. Chuang, Max Tegmark

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Meta-learning autoencoders for few-shot prediction.

Tailin Wu, John Peurifoy, Isaac L. Chuang, Max Tegmark

CoRR, 2018

2017

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels.

Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data.

Glenn Lopez, Daniel T. Seaton, Andrew M. Ang, Dustin Tingley, Isaac L. Chuang

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

2016

Technologies for trapped-ion quantum information systems.

Amira M. Eltony, Dorian Gangloff, Molu Shi, Alexei Bylinskii, Vladan Vuletic, Isaac L. Chuang

Quantum Inf. Process., 2016

Detecting and preventing "multiple-account" cheating in massive open online courses.

Curtis G. Northcutt, Andrew D. Ho, Isaac L. Chuang

Comput. Educ., 2016

Quantum Computation and Quantum Information (10th Anniversary edition).

Michael A. Nielsen, Isaac L. Chuang

Cambridge University Press, ISBN: 978-1-10-700217-3, 2016

2015

Probabilistic Use Cases: Discovering Behavioral Patterns for Predicting Certification.

Cody A. Coleman, Daniel T. Seaton, Isaac L. Chuang

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

2014

Quantum Inference on Bayesian Networks.

Guang Hao Low, Theodore J. Yoder, Isaac L. Chuang

CoRR, 2014

Who does what in a massive open online course?

Daniel T. Seaton, Yoav Bergner, Isaac L. Chuang, Piotr Mitros, David E. Pritchard

Commun. ACM, 2014

Privacy, anonymity, and big data in the social sciences.

Jon P. Daries, Justin Reich, Jim Waldo, Elise M. Young, Jonathan Whittinghill, Andrew D. Ho, Daniel T. Seaton, Isaac L. Chuang

Commun. ACM, 2014

Due dates in MOOCs: does stricter mean better?

Sergiy O. Nesterko, Daniel T. Seaton, Justin Reich, Joseph McIntyre, Qiuyi Han, Isaac L. Chuang, Andrew D. Ho

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

2013

Towards Real-Time Analytics in MOOCs.

Daniel T. Seaton, Yoav Bergner, Isaac L. Chuang, Piotr Mitros, David E. Pritchard

Proceedings of the 2nd International Workshop on Teaching Analytics, 2013

Analysis of Video Use in edX Courses.

Daniel T. Seaton, Albert J. Rodenius, Cody A. Coleman, David E. Pritchard, Isaac L. Chuang

Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

2011

Transversality Versus Universality for Additive Quantum Codes.

Bei Zeng, Andrew W. Cross, Isaac L. Chuang

IEEE Trans. Inf. Theory, 2011

2009

Demonstration of a scalable, multiplexed ion trap for quantum information processing.

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

Quantum Inf. Comput., 2009

2008

High-level interconnect model for the quantum logic array architecture.

Tzvetan S. Metodi, Darshan D. Thaker, Andrew W. Cross, Isaac L. Chuang, Frederic T. Chong

ACM J. Emerg. Technol. Comput. Syst., 2008

2007

The quantum Schur and Clebsch-Gordan transforms: I. efficient qudit circuits.

Dave Bacon, Isaac L. Chuang, Aram W. Harrow

Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2007

Design-space exploration of fault-tolerant building blocks for large-scale quantum computing.

Tzvetan S. Metodi, Andrew W. Cross, Darshan D. Thaker, Isaac L. Chuang, Frederic T. Chong

Proceedings of the 2007 IEEE International Symposium on Nanoscale Architectures, 2007

2006

A flow-map model for analyzing pseudothresholds in fault-tolerant quantum computing.

Krysta M. Svore, Andrew W. Cross, Isaac L. Chuang, Alfred V. Aho

Quantum Inf. Comput., 2006

A Layered Software Architecture for Quantum Computing Design Tools.

Krysta M. Svore, Alfred V. Aho, Andrew W. Cross, Isaac L. Chuang, Igor L. Markov

Computer, 2006

Quantum Memory Hierarchies: Efficient Designs to Match Available Parallelism in Quantum Computing.

Darshan D. Thaker, Tzvetan S. Metodi, Andrew W. Cross, Isaac L. Chuang, Frederic T. Chong

Proceedings of the 33rd International Symposium on Computer Architecture (ISCA 2006), 2006

2005

Recursive TMR: Scaling Fault Tolerance in the Nanoscale Era.

Darshan D. Thaker, François Impens, Isaac L. Chuang, Rajeevan Amirtharajah, Frederic T. Chong

IEEE Des. Test Comput., 2005

2004

Datapath and control for quantum wires.

Nemanja Isailovic, Mark Whitney, Yatish Patel, John Kubiatowicz, Dean Copsey, Frederic T. Chong, Isaac L. Chuang, Mark Oskin

ACM Trans. Archit. Code Optim., 2004

NMR Quantum Information Processing.

Chandrasekhar Ramanathan, Nicolas Boulant, Zhiying Chen, David G. Cory, Isaac L. Chuang, Matthias Steffen

Quantum Inf. Process., 2004

2003

The effect of communication costs in solid-state quantum computing architectures.

Dean Copsey, Mark Oskin, Tzvetan S. Metodi, Frederic T. Chong, Isaac L. Chuang, John Kubiatowicz

Proceedings of the SPAA 2003: Proceedings of the Fifteenth Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2003

Building Quantum Wires: The Long and the Short of It.

Mark Oskin, Frederic T. Chong, Isaac L. Chuang, John Kubiatowicz

Proceedings of the 30th International Symposium on Computer Architecture (ISCA 2003), 2003

2002

A Practical Architecture for Reliable Quantum Computers.

Mark Oskin, Frederic T. Chong, Isaac L. Chuang

Computer, 2002

2001

NMR quantum computing: lessons for the future.

Lieven M. K. Vandersypen, Isaac L. Chuang

Quantum Inf. Comput., 2001

Toward Quantum Computation: A Five-Qubit Quantum Processor.

Matthias Steffen, Lieven M. K. Vandersypen, Isaac L. Chuang

IEEE Micro, 2001

2000

Reversible arithmetic coding for quantum data compression.

Isaac L. Chuang, Dharmendra S. Modha

IEEE Trans. Inf. Theory, 2000