Soumik Adhikary

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	전체	2020년 이후
서지정보	138	137
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i10-index	3	3

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Jacob BiamonteUniversity of Quebec at ETS Montrealetsmtl.ca의 이메일 확인됨
Siddharth DangwalPhD student, University of Chicagouchicago.edu의 이메일 확인됨
Debanjan BhowmikAssociate Professor, Indian Institute of Technology Bombayee.iitb.ac.in의 이메일 확인됨
Daniil RabinovichSkolkovo Institute of Science and Technologyskoltech.ru의 이메일 확인됨
Richik SenguptaArticificial Intelligence Research Institute; Skolkovo Institute of Science and Technologyairi.net의 이메일 확인됨
Ernesto CamposSkoltechskoltech.ru의 이메일 확인됨
Ivan OseledetsAIRI; Skolkovo Institute of Science and Technologyskoltech.ru의 이메일 확인됨
Ekaterina PankovetsMaster's Student at EPFLepfl.ch의 이메일 확인됨
Kirill LakhmanskiyRussian Quantum Centerrqc.ru의 이메일 확인됨
Sooryansh AsthanaPostdoctoral fellow, IIT Bombayiitb.ac.in의 이메일 확인됨
Evgeny AnikinRussian Quantum Centerskoltech.ru의 이메일 확인됨
Saurabh KumarIndian Institute of Technology, Delhiiitd.ac.in의 이메일 확인됨
Alexey UvarovUniversity of Torontoutoronto.ca의 이메일 확인됨
Maxime MeyerPhD Studentu.nus.edu의 이메일 확인됨
Patrick RebentrostDepartment of Computer Science, School of Computing, NUS, and Centre for Quantum Technologies (CQT)nus.edu.sg의 이메일 확인됨
Naixu GuoPh.D. student at NUSu.nus.edu의 이메일 확인됨
Akshay Vishwanathan

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Soumik Adhikary

Centre for Quantum Technologies

nus.edu.sg의 이메일 확인됨

Quantum Information Quantum Algorithms Quantum Machine Learning Variational Algorithms


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Supervised learning with a quantum classifier using multi-level systems S Adhikary, S Dangwal, D Bhowmik Quantum Information Processing 19, 1-12, 2020	72	2020
Tensor networks in machine learning R Sengupta, S Adhikary, I Oseledets, J Biamonte European Mathematical Society Magazine, 4-12, 2022	25	2022
Entanglement assisted training algorithm for supervised quantum classifiers S Adhikary Quantum Information Processing 20 (8), 254, 2021	12*	2021
Robustness of variational quantum algorithms against stochastic parameter perturbation D Rabinovich, E Campos, S Adhikary, E Pankovets, D Vinichenko, ... Physical Review A 109 (4), 042426, 2024	7*	2024
Ion-native variational ansatz for quantum approximate optimization D Rabinovich, S Adhikary, E Campos, V Akshay, E Anikin, R Sengupta, ... Physical Review A 106 (3), 032418, 2022	7	2022
Non-locality and entanglement in multi-qubit systems from a unified framework S Asthana, S Adhikary, V Ravishankar Quantum Information Processing 20, 1-33, 2021	3	2021
Bell-CHSH non-locality and entanglement from a unified framework S Adhikary, S Asthana, V Ravishankar The European Physical Journal D 74, 1-8, 2020	3	2020
CGLMP and Bell–CHSH formulations of non-locality: a comparative study RP Sandhir, S Adhikary, V Ravishankar Quantum Information Processing 16 (10), 263, 2017	3	2017
Mitigating quantum gate errors for variational eigensolvers using hardware-inspired zero-noise extrapolation A Uvarov, D Rabinovich, O Lakhmanskaya, K Lakhmanskiy, J Biamonte, ... Physical Review A 110 (1), 012404, 2024	2	2024
A quantum activation function for neural networks: proposal and implementation S Kumar, S Dangwal, S Adhikary, D Bhowmik 2021 International joint conference on neural networks (IJCNN), 1-8, 2021	2	2021
Super-quantum states in SU (2) invariant 3× N level systems S Adhikary, IK Panda, V Ravishankar Annals of Physics 377, 87-95, 2017	2	2017
Online Learning of Pure States is as Hard as Mixed States M Meyer, S Adhikary, N Guo, P Rebentrost arXiv preprint arXiv:2502.00823, 2025		2025
Studies on non classicality of quantum states and quantum machine learning S Adhikary Delhi, 2020		2020

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