Reversible arithmetic coding for quantum data compression. - Isaac L. Chuang; Dharmendra S. Modha (IEEE Trans. Inf. Theory, 2000)

Toward Quantum Computation: A Five-Qubit Quantum Processor. - Matthias Steffen; Lieven M. K. Vandersypen; Isaac L. Chuang (IEEE Micro, 2001)

NMR quantum computing: lessons for the future. - Lieven M. K. Vandersypen; Isaac L. Chuang (Quantum Inf. Comput., 2001)

A Practical Architecture for Reliable Quantum Computers. - Mark Oskin; Frederic T. Chong; Isaac L. Chuang (Computer, 2002)

Building Quantum Wires: The Long and the Short of It. - Mark Oskin; Frederic T. Chong; Isaac L. Chuang; John Kubiatowicz (ISCA, 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 (SPAA, 2003)

NMR Quantum Information Processing. - Chandrasekhar Ramanathan; Nicolas Boulant; Zhiying Chen; David G. Cory; Isaac L. Chuang; Matthias Steffen (Quantum Inf. Process., 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)

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)

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 (ISCA, 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)

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)

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 (NANOARCH, 2007)

The quantum Schur and Clebsch-Gordan transforms: I. efficient qudit circuits. - Dave Bacon; Isaac L. Chuang; Aram W. Harrow (SODA, 2007)

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)

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; et al. (Quantum Inf. Comput., 2009)

Transversality Versus Universality for Additive Quantum Codes. - Bei Zeng; Andrew W. Cross; Isaac L. Chuang (IEEE Trans. Inf. Theory, 2011)

Analysis of Video Use in edX Courses. - Daniel T. Seaton; Albert J. Rodenius; Cody A. Coleman; David E. Pritchard; Isaac L. Chuang (AIED Workshops, 2013)

Towards Real-Time Analytics in MOOCs. - Daniel T. Seaton; Yoav Bergner; Isaac L. Chuang; Piotr Mitros; David E. Pritchard (IWTA@LAK, 2013)

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 (L@S, 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)

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)

Quantum Inference on Bayesian Networks. - Guang Hao Low; Theodore J. Yoder; Isaac L. Chuang (CoRR, 2014)

Probabilistic Use Cases: Discovering Behavioral Patterns for Predicting Certification. - Cody A. Coleman; Daniel T. Seaton; Isaac L. Chuang (L@S, 2015)

Quantum Computation and Quantum Information (10th Anniversary edition). - Michael A. Nielsen; Isaac L. Chuang (Cambridge University Press, 2016)

Detecting and preventing "multiple-account" cheating in massive open online courses. - Curtis G. Northcutt; Andrew D. Ho; Isaac L. Chuang (Comput. Educ., 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)

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 (L@S, 2017)

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. - Curtis G. Northcutt; Tailin Wu; Isaac L. Chuang (UAI, 2017)

Meta-learning autoencoders for few-shot prediction. - Tailin Wu; John Peurifoy; Isaac L. Chuang; Max Tegmark (CoRR, 2018)

Learnability for the Information Bottleneck. - Tailin Wu; Ian S. Fischer; Isaac L. Chuang; Max Tegmark (Entropy, 2019)

Hamiltonian Simulation by Qubitization. - Guang Hao Low; Isaac L. Chuang (Quantum, 2019)

Modelling and Using Response Times in Online Courses. - Ilia Rushkin; Isaac L. Chuang; Dustin Tingley (J. Learn. Anal., 2019)

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)

Confident Learning: Estimating Uncertainty in Dataset Labels. - Curtis G. Northcutt; Lu Jiang 004; Isaac L. Chuang (J. Artif. Intell. Res., 2021)

Biological error correction codes generate fault-tolerant neural networks. - Alexander Zlokapa; Andrew K. Tan; John M. Martyn; Max Tegmark; Isaac L. Chuang (CoRR, 2022)

Pareto-Optimal Clustering with the Primal Deterministic Information Bottleneck. - Andrew K. Tan; Max Tegmark; Isaac L. Chuang (Entropy, 2022)

Multivariable quantum signal processing (M-QSP): prophecies of the two-headed oracle. - Zane M. Rossi; Isaac L. Chuang (Quantum, 2022)

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 006; Margaret Martonosi; Fred Chong; et al. (MICRO, 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 006; Margaret Martonosi; Frederic T. Chong; et al. (CoRR, 2023)

On reliable computation over larger alphabets. - Andrew K. Tan; Matthew Ho; Isaac L. Chuang (CoRR, 2023)

Resource savings from fault-tolerant circuit design. - Andrew K. Tan; Isaac L. Chuang (CoRR, 2023)

Minimum Trotterization Formulas for a Time-Dependent Hamiltonian. - Tatsuhiko N. Ikeda; Asir Abrar; Isaac L. Chuang; Sho Sugiura (Quantum, 2023)

Remove Symmetries to Control Model Expressivity. - Liu Ziyin 001; Yizhou Xu; Isaac L. Chuang (CoRR, 2024)

Single-shot Quantum Signal Processing Interferometry. - Jasmine Sinanan-Singh; Gabriel L. Mintzer; Isaac L. Chuang; Yuan Liu (Quantum, 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, 2024)

Formation of Representations in Neural Networks. - Liu Ziyin 001; Isaac L. Chuang; Tomer Galanti; Tomaso A. Poggio (ICLR, 2025)

Remove Symmetries to Control Model Expressivity and Improve Optimization. - Liu Ziyin 001; Yizhou Xu; Isaac L. Chuang (ICLR, 2025)

Modular quantum signal processing in many variables. - Zane M. Rossi; Jack L. Ceroni; Isaac L. Chuang (Quantum, 2025)

Parameter Symmetry Breaking and Restoration Determines the Hierarchical Learning in AI Systems. - Liu Ziyin 001; Yizhou Xu; Tomaso A. Poggio; Isaac L. Chuang (CoRR, 2025)

Heterosynaptic Circuits Are Universal Gradient Machines. - Liu Ziyin 001; Isaac L. Chuang; Tomaso A. Poggio (CoRR, 2025)

Neural Thermodynamics I: Entropic Forces in Deep and Universal Representation Learning. - Liu Ziyin 001; Yizhou Xu; Isaac L. Chuang (CoRR, 2025)

Proof of a perfect platonic representation hypothesis. - Ziyin Liu 001; Isaac L. Chuang (CoRR, 2025)