1.9k citations · 3.4k across the 63 of their papers we have counts for
65 papers
Verifiable Sampling for Delegated Generative Quantum Machine Learning
Matteo Inajetovic, Anna Pappa, Petros Wallden
Generative machine learning has shown remarkable results across a wide range of interdisciplinary tasks, motivating significant efforts toward Quantum Generative Models as a path t…
Circuit Harmonic Matrices: A Spectral Framework for Quantum Machine Learning
Kyle James Stuart Campbell, Luigi Del Debbio, Petros Wallden
Parametrised quantum circuits learn by adjusting gate parameters, while their design shapes the functions they can represent and how readily they learn them. We introduce the circu…
Spectral Gap Informed Ramp QAOA
Kieran McDowall, Konstantinos Georgopoulos, Petros Wallden
A challenge with the Quantum Approximate Optimisation Algorithm (QAOA), and variational algorithms in general, is finding good variational parameters, a task which in itself can be…
Methods for non-variational heuristic quantum optimisation
Stuart Ferguson, Petros Wallden
Optimisation plays a central role in a wide range of scientific and industrial applications, and quantum computing has been widely proposed as a means to achieve computational adva…
Quantum Elastic Network Models and their Application to Graphene
Ioannis Kolotouros, Adithya Sireesh, Stuart Ferguson +3
Molecular dynamics simulations are a central computational methodology in materials design for relating atomic composition to mechanical properties. However, simulating materials w…
Adiabatic-Inspired Hybrid Quantum-Classical Methods for Molecular Ground State Preparation
Sean Thrasher, Ioannis Kolotouros, Julien Michel +1
Quantum computing promises to efficiently and accurately solve many important problems in quantum chemistry which elude classical solvers, such as the electronic structure problem…