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researcher

Dhiraj Madan

7 papers hereh-index 5111 citations18 works total

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

author position
  • first author2
  • middle author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • quant-ph5
  • cs.AI1
  • cs.CL1

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedOptimizing Ansatz Design in QAOA for Max-cut

20 citations · 34 across the 6 of their papers we have counts for

collaborators
Showing quant-phShow all

4 papers · 1 filter

quant-ph2023★ 2 cited

Hybrid quantum-classical graph neural networks for tumor classification in digital pathology

Anupama Ray, Dhiraj Madan, Srushti Patil +2

Advances in classical machine learning and single-cell technologies have paved the way to understand interactions between disease cells and tumor microenvironments to accelerate th…

quant-ph2023★ 9 cited

Towards quantum-enabled cell-centric therapeutics

Saugata Basu, Jannis Born, Aritra Bose +30

In recent years, there has been tremendous progress in the development of quantum computing hardware, algorithms and services leading to the expectation that in the near future qua…

quant-ph2021

Depth Optimized Ansatz Circuit in QAOA for Max-Cut

Ritajit Majumdar, Debasmita Bhoumik, Dhiraj Madan +3

While a Quantum Approximate Optimization Algorithm (QAOA) is intended to provide a quantum advantage in finding approximate solutions to combinatorial optimization problems, noise…

quant-ph2021★ 20 cited

Optimizing Ansatz Design in QAOA for Max-cut

Ritajit Majumdar, Dhiraj Madan, Debasmita Bhoumik +3

Quantum Approximate Optimization Algorithm (QAOA) is studied primarily to find approximate solutions to combinatorial optimization problems. For a graph with n vertices and m e…

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