Scholar
Jayadev Acharya
Google Scholar ID: 70vJVxcAAAAJ
Assistant Professor, Cornell University
Learning theory
information theory
statistics
algorithms
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Citations & Impact
All-time
Citations
2,881
H-index
29
i10-index
52
Publications
20
Co-authors
43
list available
Publications
4 items
Sublinear Copies Suffice for Fidelity Estimation with Pauli Measurements
2026
Cited
0
Quantum Mixedness Testing with Pauli Measurements
2026
Cited
0
Pauli Measurements Are Near-Optimal for Single-Qubit Tomography
2025
Cited
0
Pauli measurements are not optimal for single-copy tomography
2025
Cited
0
Resume
Background
Assistant Professor in Electrical and Computer Engineering at Cornell University
Graduate field member in Computer Science and Operations Research and Information Engineering
Member of the Foundations of Information, Networks, and Decision Systems (FIND) group and the theory group
Research interests lie at the intersection of information theory, statistical inference, algorithms, and machine learning
Interested in the interplay between resources such as samples, communication, privacy, memory, and robustness in learning problems
Also interested in quantum information and machine unlearning
Co-authors
13 total
Ananda Theertha Suresh
Google Research, New York
Himanshu Tyagi
Indian Institute of Science
Clément L. Canonne
University of Sydney
Gautam Kamath
Assistant Professor @ University of Waterloo, Faculty Member @ Vector Institute
Constantinos Daskalakis
Professor of Computer Science, MIT
Aaron B. Wagner
Professor, Electrical and Computer Engineering, Cornell University
Ayush Sekhari
Postdoctoral Associate, MIT
Jerry Li
University of Washington