Krylov diagonalization of large many-body Hamiltonians on a quantum processor
- Nobuyuki Yoshioka
- Mirko Amico
- et al.
- 2025
- Nature Communications
Arkopal Dutt
Title
Research scientist
Bio
Arkopal is a research scientist working on quantum learning theory and quantum algorithms.
He obtained his PhD in Mechanical Engineering from Massachusetts Institute of Technology in 2023 where he was advised by Isaac Chuang. Prior to that he completed his undergraduate studies at the Indian Institute of Technology, Bombay, where he studied Aerospace Engineering.
Website: https://arkopaldutt.com/
Publications
Learning Low-Degree Quantum Objects
- Srinivasan Arunachalam
- Arkopal Dutt
- et al.
- 2024
- ICALP 2024
Active learning of quantum system Hamiltonians yields query advantage
- Arkopal Dutt
- Edwin Pednault
- et al.
- 2023
- PRResearch
Optimal algorithms for learning quantum phase states
- Srinivasan Arunachalam
- Sergey Bravyi
- et al.
- 2023
- TQC 2023
Learning beyond Cliffords: circuits and states
- Srinivasan Arunachalam
- Sergey Bravyi
- et al.
- 2023
- QIP 2023
Experimental Benchmark of Randomized Estimators for Measurements of Quantum Hamiltonians
- 2022
- APS March Meeting 2022
Experimental Evaluation of Active Learning of a Two Qubit Cross-Resonance Hamiltonian
- Arkopal Dutt
- Edwin Pednault
- et al.
- 2021
- APS March Meeting 2021
Active Learning of Hamiltonians
- Arkopal Dutt
- Edwin Pednault
- et al.
- 2020
- APS March Meeting 2020
Top collaborators
LB
Lev S Bishop
Quantum Computing Theory
AM
Antonio Mezzacapo
Principal Research Scientist, Quantum-centric Supercomputing and Applied Quantum Science
WK
Will Kirby
Research Scientist
AI
Alexander Ivrii
Reseacher in Quantum Computing