148 citations · 287 across the 5 of their papers we have counts for
5 papers
Quantum Optimisation of Complex Systems with a Quantum Annealer
Steve Abel, Andrew Blance, Michael Spannowsky
We perform an in-depth comparison of quantum annealing with several classical optimisation techniques, namely thermal annealing, Nelder-Mead, and gradient descent. We begin with a…
Unsupervised Event Classification with Graphs on Classical and Photonic Quantum Computers
Andrew Blance, Michael Spannowsky
Photonic Quantum Computers provides several benefits over the discrete qubit-based paradigm of quantum computing. By using the power of continuous-variable computing we build an an…
Quantum Machine Learning for Particle Physics using a Variational Quantum Classifier
Andrew Blance, Michael Spannowsky
Quantum machine learning aims to release the prowess of quantum computing to improve machine learning methods. By combining quantum computing methods with classical neural network…
Novel -decay signatures of light scalars at high energy facilities
Andrew Blance, Mikael Chala, Maria Ramos +1
We study the phenomenology of light scalars of masses and coupling to heavy flavour-violating vector bosons of mass . For few GeV, this scenario…
Adversarially-trained autoencoders for robust unsupervised new physics searches
Andrew Blance, Michael Spannowsky, Philip Waite
Machine learning techniques in particle physics are most powerful when they are trained directly on data, to avoid sensitivity to theoretical uncertainties or an underlying bias on…