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researcher

M. Chandra

11 papers hereh-index 459 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author8

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • quant-ph10
  • cs.ET1
same name
  • M. Chandra — 20 papers, h 14
  • M. Chandra — 8 papers, h 9
  • M. Chandra — 7 papers, h 21
  • M. Chandra — 5 papers, h 9
  • M. Chandra — 5 papers, h 5
  • M. Chandra — 3 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedOn Classifying Images using Quantum Image Representation

6 citations · 16 across the 10 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

quant-ph2022

On Quantum-Enhanced LDPC Decoding for Rayleigh Fading Channels

Utso Majumder, Aditya Das Sarma, Vishnu Vaidya +1

Quantum and Classical computers continue to work together in tight cooperation to solve difficult problems. The combination is thus suggested in recent times for decoding the Low D…

quant-ph2022★ 2 cited

One-Step Time Series Forecasting Using Variational Quantum Circuits

Payal Kaushik, Sayantan Pramanik, M Girish Chandra +1

Time series forecasting has always been a thought-provoking topic in the field of machine learning. Machine learning scientists define a time series as a set of observations record…

quant-ph2022★ 2 cited

Quantum Image Representation Methods Using Qutrits

Ankit Khandelwal, M Girish Chandra

Quantum Image Processing is a recent highlight in the quantum computing field. All previous methods for representing the images as quantum states were defined using qubits. One Qua…

quant-ph2022★ 6 cited

On Classifying Images using Quantum Image Representation

Ankit Khandelwal, M Girish Chandra, Sayantan Pramanik

In this paper, we consider different Quantum Image Representation Methods to encode images into quantum states and then use a Quantum Machine Learning pipeline to classify the imag…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.