New Trends in Quantum Machine Learning

08/22/2021
by   Lorenzo Buffoni, et al.
0

Here we will give a perspective on new possible interplays between Machine Learning and Quantum Physics, including also practical cases and applications. We will explore the ways in which machine learning could benefit from new quantum technologies and algorithms to find new ways to speed up their computations by breakthroughs in physical hardware, as well as to improve existing models or devise new learning schemes in the quantum domain. Moreover, there are lots of experiments in quantum physics that do generate incredible amounts of data and machine learning would be a great tool to analyze those and make predictions, or even control the experiment itself. On top of that, data visualization techniques and other schemes borrowed from machine learning can be of great use to theoreticians to have better intuition on the structure of complex manifolds or to make predictions on theoretical models. This new research field, named as Quantum Machine Learning, is very rapidly growing since it is expected to provide huge advantages over its classical counterpart and deeper investigations are timely needed since they can be already tested on the already commercially available quantum machines.

READ FULL TEXT
research
07/26/2017

Quantum machine learning: a classical perspective

Recently, increased computational power and data availability, as well a...
research
10/27/2020

Scientific intuition inspired by machine learning generated hypotheses

Machine learning with application to questions in the physical sciences ...
research
06/22/2020

Quantum Computing Methods for Supervised Learning

The last two decades have seen an explosive growth in the theory and pra...
research
11/17/2019

Solving machine learning optimization problems using quantum computers

Classical optimization algorithms in machine learning often take a long ...
research
11/17/2017

Hardening Quantum Machine Learning Against Adversaries

Security for machine learning has begun to become a serious issue for pr...
research
05/26/2021

An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics

This paper presents Sparse Tensor Classifier (STC), a supervised classif...
research
02/24/2022

Physics solutions for machine learning privacy leaks

Machine learning systems are becoming more and more ubiquitous in increa...

Please sign up or login with your details

Forgot password? Click here to reset