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Shouvanik Chakrabarti
Shouvanik Chakrabarti
Applied Research Lead, JPMorgan Chase
Подтвержден адрес электронной почты в домене jpmchase.com
Название
Процитировано
Процитировано
Год
A threshold for quantum advantage in derivative pricing
S Chakrabarti, R Krishnakumar, G Mazzola, N Stamatopoulos, S Woerner, ...
Quantum 5, 463, 2021
1492021
Quantum Wasserstein generative adversarial networks
S Chakrabarti, H Yiming, T Li, S Feizi, X Wu
Advances in Neural Information Processing Systems 32, 2019
1182019
Sublinear quantum algorithms for training linear and kernel-based classifiers
T Li, S Chakrabarti, X Wu
International Conference on Machine Learning, 3815-3824, 2019
842019
Quantum algorithms and lower bounds for convex optimization
S Chakrabarti, AM Childs, T Li, X Wu
Quantum 4, 221, 2020
792020
Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem
R Shaydulin, C Li, S Chakrabarti, M DeCross, D Herman, N Kumar, ...
Science Advances 10 (22), eadm6761, 2024
672024
The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ans\" atze
E Fontana, D Herman, S Chakrabarti, N Kumar, R Yalovetzky, J Heredge, ...
arXiv preprint arXiv:2309.07902, 2023
602023
Quantum machine learning for finance ICCAD special session paper
M Pistoia, SF Ahmad, A Ajagekar, A Buts, S Chakrabarti, D Herman, S Hu, ...
2021 IEEE/ACM international conference on computer aided design (ICCAD), 1-9, 2021
602021
A convergence theory for over-parameterized variational quantum eigensolvers
X You, S Chakrabarti, X Wu
arXiv preprint arXiv:2205.12481, 2022
442022
Constrained optimization via quantum zeno dynamics
D Herman, R Shaydulin, Y Sun, S Chakrabarti, S Hu, P Minssen, A Rattew, ...
Communications Physics 6 (1), 219, 2023
352023
Parameter setting in quantum approximate optimization of weighted problems
SH Sureshbabu, D Herman, R Shaydulin, J Basso, S Chakrabarti, Y Sun, ...
Quantum 8, 1231, 2024
332024
Quantum algorithm for estimating volumes of convex bodies
S Chakrabarti, AM Childs, SH Hung, T Li, C Wang, X Wu
ACM Transactions on Quantum Computing 4 (3), 1-60, 2023
292023
Quantum deep hedging
S Raj, I Kerenidis, A Shekhar, B Wood, J Dee, S Chakrabarti, R Chen, ...
Quantum 7, 1191, 2023
282023
Hardness of the maximum-independent-set problem on unit-disk graphs and prospects for quantum speedups
RS Andrist, MJA Schuetz, P Minssen, R Yalovetzky, S Chakrabarti, ...
Physical Review Research 5 (4), 043277, 2023
242023
Characterizing barren plateaus in quantum ansätze with the adjoint representation
E Fontana, D Herman, S Chakrabarti, N Kumar, R Yalovetzky, J Heredge, ...
Nature Communications 15 (1), 7171, 2024
202024
Numerical evidence against advantage with quantum fidelity kernels on classical data
L Slattery, R Shaydulin, S Chakrabarti, M Pistoia, S Khairy, SM Wild
Physical Review A 107 (6), 062417, 2023
182023
Sublinear classical and quantum algorithms for general matrix games
T Li, C Wang, S Chakrabarti, X Wu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8465-8473, 2021
172021
Alignment between initial state and mixer improves QAOA performance for constrained optimization
Z He, R Shaydulin, S Chakrabarti, D Herman, C Li, Y Sun, M Pistoia
npj Quantum Information 9 (1), 121, 2023
162023
Analyzing convergence in quantum neural networks: Deviations from neural tangent kernels
X You, S Chakrabarti, B Chen, X Wu
International Conference on Machine Learning, 40199-40224, 2023
162023
Universal quantum speedup for branch-and-bound, branch-and-cut, and tree-search algorithms
S Chakrabarti, P Minssen, R Yalovetzky, M Pistoia
arXiv preprint arXiv:2210.03210, 2022
152022
Alignment between initial state and mixer improves QAOA performance for constrained portfolio optimization
Z He, R Shaydulin, S Chakrabarti, D Herman, C Li, Y Sun, M Pistoia
CoRR, 2023
122023
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Статьи 1–20