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Soumik Adhikary

Research Interests

  1. Quantum information and quantum computation
  2. Quantum algorithms
  3. Tensor network methods
  4. Non-classical correlations
  5. Quantum machine learning


Soumik Adhikary is an Indian theoretical physicist who works on the foundations of quantum information science and quantum computation. He completed his Bachelor of Science from the University of Calcutta (2012). He then moved to Indian Institute of Technology Delhi from where he completed his Master of Science (2014) and also his doctorate degree (2020) under the supervision of Prof. V. Ravishankar. He subsequently joined the Deep Quantum Lab in 2021 where he currently holds the position of Research scientist.


1. On the gate-error robustness of variational quantum algorithms
    D. Rabinovich , E. Campos, S. Adhikary, E. Pankovets, D. Vinichenko, J. Biamonte
    arXiv:2301.00048v1 [quant-ph] (2023)
    DOI: 10.48550/arXiv.2301.00048

2. Tensor networks in machine learning
    R. Sengupta , S. Adhikary, I. Oseledets, J. Biamonte
    European Mathematical Society Magazine (2022)
    DOI: 10.4171/MAG/101

3. Ion native variational ansatz for quantum approximate optimization
    D. Rabinovich, S. Adhikary, E. Campos, V. Akshay, E. Anikin, R. Sengupta, O. Lakhmanskaya, K. Lakhmanskiy, J. Biamonte
    Physical Review A 106, 032418 (2022)
    DOI: 10.1103/PhysRevA.106.032418

4. 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), pp. 1-8 (2021)
    DOI: 10.1109/IJCNN52387.2021.9533362

5. Non-locality and entanglement in multi-qubit systems from a unified framework
    S. Asthana, S. Adhikary, V. Ravishankar
    Quantum Information Processing 20:12 (2021)
    DOI: 10.1007/s11128-020-02961-6

6. An entanglement enhanced training algorithm for supervised quantum classifiers
    S. Adhikary
    Quantum Information Processing 20:254 (2021)
    DOI: 10.1007/s11128-021-03179-w

7. Supervised learning with a quantum classifier using a multi-level system
    S. Adhikary, S. Dangwal, D. Bhowmik
    Quantum Information Processing 19:89 (2020)
    DOI: 10.1007/s11128-020-2587-9

8. Bell-CHSH non-locality and entanglement from a unified framework
    S. Adhikary, S. Asthana, V. Ravishankar
    European Physics Journal D 74:68 (2020)
    DOI: 10.1140/epjd/e2020-100506-5

9. CGLMP and Bell–CHSH formulations of non-locality: a comparative study
    R. P. Sandhir, S. Adhikary, V. Ravishankar
    Quantum Information Processing 16:263 (2017)
    DOI: 10.1007/s11128-017-1712-x

10. Super quantum states in SU(2) invariant 3 × N level systems
      S. Adhikary, I. K. Panda, V. Ravishankar
      Annals of Physics 377:87 (2017)
      DOI: 10.1016/j.aop.2016.12.006