activity
20162025
most citedSupervised learning with a quantum classifier using a multi-level system

76 citations · 117 across the 14 of their papers we have counts for

collaborators

14 papers

quant-ph2025

Role of overparametrization in quantum approximate optimization

Daniil Rabinovich, Andrey Kardashin, Soumik Adhikary

Variational quantum algorithms have emerged as a cornerstone of contemporary quantum algorithms research. While they have demonstrated considerable promise in solving problems of p…

quant-ph2025★ 1 cited

Expressivity Limits in Quantum Walk-based Optimization

Guilherme A. Bridi, Debbie Lim, Lirandë Pira +3

Quantum algorithms have emerged as a promising tool to solve combinatorial optimization problems. The quantum walk optimization algorithm (QWOA) is one such variational approach th…

quant-ph2025

Online Learning of Pure States is as Hard as Mixed States

Maxime Meyer, Soumik Adhikary, Naixu Guo +1

Quantum state tomography, the task of learning an unknown quantum state, is a fundamental problem in quantum information. In standard settings, the complexity of this problem depen…

quant-ph2023★ 5 cited

Mitigating Quantum Gate Errors for Variational Eigensolvers Using Hardware-Inspired Zero-Noise Extrapolation

Alexey Uvarov, Daniil Rabinovich, Olga Lakhmanskaya +3

Variational quantum algorithms have emerged as a cornerstone of contemporary quantum algorithms research. Practical implementations of these algorithms, despite offering certain le…

quant-ph2023★ 11 cited

Robustness of Variational Quantum Algorithms against stochastic parameter perturbation

Daniil Rabinovich, Ernesto Campos, Soumik Adhikary +3

Variational quantum algorithms are tailored to perform within the constraints of current quantum devices, yet they are limited by performance-degrading errors. In this study, we co…

quant-ph2022

Tensor networks in machine learning

Richik Sengupta, Soumik Adhikary, Ivan Oseledets +1

A tensor network is a type of decomposition used to express and approximate large arrays of data. A given data-set, quantum state or higher dimensional multi-linear map is factored…

quant-ph2022★ 8 cited

Ion native variational ansatz for quantum approximate optimization

Daniil Rabinovich, Soumik Adhikary, Ernesto Campos +6

Variational quantum algorithms involve training parameterized quantum circuits using a classical co-processor. An important variational algorithm, designed for combinatorial optimi…

quant-ph2020★ 2 cited

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

Sooryansh Asthana, Soumik Adhikary, V. Ravishankar

Non-classical probability is the underlying feature of quantum mechanics. The emergence of Bell-CHSH non-locality for bipartite systems and linear entanglement inequalities for two…

quant-ph2020★ 11 cited

Entanglement assisted training algorithm for supervised quantum classifiers

Soumik Adhikary

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 manipu…

quant-ph2019★ 76 cited

Supervised learning with a quantum classifier using a multi-level system

Soumik Adhikary, Siddharth Dangwal, Debanjan Bhowmik

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 qu…

quant-ph2018★ 1 cited

A generalised framework for non-classicality of states II: Emergence of non locality and entanglement

Soumik Adhikary, Sooryansh Asthana, V. Ravishankar

A unified formalism was developed in [S. Adhikary et. al., arXiv:1710.04371 [quant-ph]], for describing non-classicality of states by introducing pseudo projection operators in whi…

quant-ph2017

A generalised framework for non-classicality of states

Soumik Adhikary, Sooryansh Asthana, V. Ravishankar

Non-classical probability (along with its underlying logic) is a defining feature of quantum mechanics. A formulation that incorporates them, inherently and directly, would promise…

quant-ph2016

Is non-locality stronger in higher dimensions?

Soumik Adhikary, V. Ravishankar, Radha Pyari Sandhir

A critique of a prescription of non-locality in [Phys. Rev. Lett. 85, 4418 (2000)], [Phys. Rev. Lett. 88, 040404 (2002)], [Phys. Rev. Lett. 92, 130404 (2004)] that appears to be st…

quant-ph2016★ 2 cited

Super-quantum states in SU(2) invariant level systems

S. Adhikary, I. Panda, V. Ravishankar

Nonclassicality of quantum states is expressed in many shades, the most stringent of them being a new standard introduced recently in [Phys. Rev. A 89, 062110 (2014)]. This is acco…