activity
20172025
most citedHistopathological Cancer Detection Using Hybrid Quantum Computing

10 citations · 15 across the 8 of their papers we have counts for

collaborators

8 papers

quant-ph2025

Optimized Quantum Embedding: A Universal Minor-Embedding Framework for Large Complete Bipartite Graph

Salvatore Sinno, Thomas Groß, Nicholas Chancellor +2

Minor embedding is essential for mapping largescale combinatorial problems onto quantum annealers, particularly in quantum machine learning and optimization. This work presents an…

cs.ET2025

Quantum Machine Learning in Precision Medicine and Drug Discovery -- A Game Changer for Tailored Treatments?

Markus Bertl, Alan Mott, Salvatore Sinno +1

The digitization of healthcare presents numerous challenges, including the complexity of biological systems, vast data generation, and the need for personalized treatment plans. Tr…

cs.ET2025★ 4 cited

Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing

Salvatore Sinno, Markus Bertl, Arati Sahoo +3

This study explores the implementation of large Quantum Restricted Boltzmann Machines (QRBMs), a key advancement in Quantum Machine Learning (QML), as generative models on D-Wave's…

quant-ph2023★ 1 cited

Performance of Commercial Quantum Annealing Solvers for the Capacitated Vehicle Routing Problem

Salvatore Sinno, Thomas Groß, Alan Mott +4

Quantum annealing (QA) is a heuristic search algorithm that can run on Adiabatic Quantum Computation (AQC) processors to solve combinatorial optimization problems. Although theoret…

quant-ph2023

Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection

Biswaraj Baral, Reek Majumdar, Bhavika Bhalgamiya +1

We present an effective application of quantum machine learning in histopathological cancer detection. The study here emphasizes two primary applications of hybrid classical-quantu…

quant-ph2023★ 10 cited

Histopathological Cancer Detection Using Hybrid Quantum Computing

Reek Majumdar, Biswaraj Baral, Bhavika Bhalgamiya +1

We present an effective application of quantum machine learning in the field of healthcare. The study here emphasizes on a classification problem of a histopathological cancer dete…

quant-ph2021

Example Exact Solutions of the Time-independent Gross-Pitaevskii and Schrödinger Equations

Bhavika Bhalgamiya, M. A. Novotny

A prescription is given to obtain some exact results for certain external potentials of the time-independent Gross-Pitaevskii and Schrödinger equations. Th…

quant-ph2017

Benchmarking quantum annealers using symmetries in embedded subgraphs

Dilina Perera, Bhavika Bhalgamiya, M. A. Novotny

We investigate an efficient, generic method for evaluating the performance of quantum annealing devices that does not require the prior knowledge of the true ground state of the be…