1 citations · 1 across the 3 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
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…