349 citations · 851 across the 11 of their papers we have counts for
5 papers · 1 filter
An Algorithm for Fast Supervised Learning in Variational Circuits through Simultaneous Processing of Multiple Samples
Siddharth Dangwal, Ritvik Sharma, Debanjan Bhowmik
We propose a novel algorithm for fast training of variational classifiers by processing multiple samples parallelly. The algorithm can be adapted for any ansatz used in the variati…
Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation
Saurabh Kumar, Siddharth Dangwal, Debanjan Bhowmik
Implementation of variational Quantum Machine Learning (QML) algorithms on Noisy Intermediate-Scale Quantum (NISQ) devices is known to have issues related to the high number of qub…
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 reconfigurable spintronic device for quantum and classical logic
Debanjan Bhowmik, Aamod Shanker, Angik Sarkar +1
Quantum superposition and entanglement of physical states can be harnessed to solve some problems which are intractable on a classical computer implementing binary logic. Several a…
Formulation of a Mesoscopic Electron Beam Splitter with Application in Semiconductor Based Quantum Computing
A. Shanker, D. Bhowmik, T. K. Bhattacharya
We aim to analytically arrive at a beam splitter formulation for electron waves. The electron beam splitter is an essential component of quantum logical devices. To arrive at the b…