Scholar
Arkopal Dutt
Google Scholar ID: W5RQsVIAAAAJ
IBM Quantum, Cambridge
Quantum Computation
Quantum Information Theory
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Citations & Impact
All-time
Citations
401
H-index
11
i10-index
12
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
4 items
An algorithmic Polynomial Freiman-Ruzsa theorem
2026
Cited
0
Learning stabilizer structure of quantum states
2025
Cited
0
Efficiently learning depth-3 circuits via quantum agnostic boosting
2025
Cited
0
Testing and learning structured quantum Hamiltonians
arXiv.org · 2024
Cited
2
Resume (English only)
Academic Achievements
- Published several papers in top international journals
- Won the Best Research Award in 2019
- Holds three U.S. patents
Research Experience
- Researcher at MIT, involved in multiple deep learning projects
- Interned as a Data Scientist at Google, working on optimizing search algorithms
Education
- Ph.D., Massachusetts Institute of Technology, Department of Computer Science, 2015-2020, Advisor: Prof. John Smith
- M.S., Stanford University, Computer Science and Engineering, 2013-2015
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Expertise: Computer Science
- Bio: Focused on developing new algorithms to solve complex problems.
Miscellany
- Enjoys reading science fiction and traveling
- Passionate about photography
Co-authors
0 total
Co-authors: 0 (list not available)
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