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  1. No Access

    Article

    CGLMP and Bell–CHSH formulations of non-locality: a comparative study

    The CGLMP prescription of non-locality is known to identify certain states that satisfy the Bell–CHSH inequality to be non-local. The demonstration is, however, restricted to a specific family of states. In th...

    Radha Pyari Sandhir, Soumik Adhikary, V. Ravishankar in Quantum Information Processing (2017)

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    Article

    Supervised learning with a quantum classifier using multi-level systems

    We propose a quantum classifier, which can classify data under the supervised learning scheme using a quantum feature space. The input feature vectors are encoded in a single quNit (a N-level quantum system), as ...

    Soumik Adhikary, Siddharth Dangwal, Debanjan Bhowmik in Quantum Information Processing (2020)

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    Article

    Bell-CHSH non-locality and entanglement from a unified framework

    Non-classical probability is a defining feature of quantum mechanics. This paper develops a formalism that exhibits explicitly, the manner in which rules of classical probability break down in the quantum doma...

    Soumik Adhikary, Sooryansh Asthana, V. Ravishankar in The European Physical Journal D (2020)

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    Article

    Non-locality and entanglement in multi-qubit systems from a unified framework

    Non-classical probability is the underlying feature of quantum mechanics. The emergence of Bell-CHSH non-locality [We stress that CHSH inequality (Clauser et al. in Phys. Rev. Lett. 23(15):880, 1969) is more g...

    Sooryansh Asthana, Soumik Adhikary, V. Ravishankar in Quantum Information Processing (2021)

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    Article

    Entanglement assisted training algorithm for supervised quantum classifiers

    We propose a new training algorithm for supervised quantum classifiers. Here, we have harnessed the property of quantum entanglement to build a model that can simultaneously manipulate multiple training sample...

    Soumik Adhikary in Quantum Information Processing (2021)