211 citations · 513 across the 7 of their papers we have counts for
7 papers
Quantum Methods for Neural Networks and Application to Medical Image Classification
Jonas Landman, Natansh Mathur, Yun Yvonna Li +4
Quantum machine learning techniques have been proposed as a way to potentially enhance performance in machine learning applications. In this paper, we introduce two new quantum met…
Quantum Vision Transformers
El Amine Cherrat, Iordanis Kerenidis, Natansh Mathur +3
In this work, quantum transformers are designed and analysed in detail by extending the state-of-the-art classical transformer neural network architectures known to be very perform…
Quantum Computational Quantification of Protein-Ligand Interactions
Josh John Mellor Kirsopp, Cono Di Paola, David Zsolt Manrique +7
We have demonstrated a prototypical hybrid classical and quantum computational workflow for the quantification of protein-ligand interactions. The workflow combines the Density Mat…
Medical image classification via quantum neural networks
Natansh Mathur, Jonas Landman, Yun Yvonna Li +4
Machine Learning provides powerful tools for a variety of applications, including disease diagnosis through medical image classification. In recent years, quantum machine learning…
The prospects of Monte Carlo antibody loop modelling on a fault-tolerant quantum computer
Jonathan Allcock, Anna Vangone, Agnes Meyder +4
Quantum computing for the biological sciences is an area of rapidly growing interest, but specific industrial applications remain elusive. Quantum Markov chain Monte Carlo has been…
The prospects of quantum computing in computational molecular biology
Carlos Outeiral, Martin Strahm, Jiye Shi +3
Quantum computers can in principle solve certain problems exponentially more quickly than their classical counterparts. We have not yet reached the advent of useful quantum computa…
Investigating the potential for a limited quantum speedup on protein lattice problems
Carlos Outeiral, Garrett M. Morris, Jiye Shi +3
Protein folding is a central challenge in computational biology, with important applications in molecular biology, drug discovery and catalyst design. As a hard combinatorial optim…