26 citations · 38 across the 4 of their papers we have counts for
4 papers
Automated Quantum Algorithm Design using a Domain-Specific Language
Amy Rouillard, Matt Lourens, Francesco Petruccione
We present a computational method to automatically design the n-qubit realisations of quantum algorithms. Our approach leverages a domain-specific language (DSL) that enables the c…
Generating Generalised Ground-State Ansatzes from Few-Body Examples
Matt Lourens, Ilya Sinayskiy, Johannes N. Kriel +1
We introduce a method that generates ground-state ansatzes for quantum many-body systems which are both analytically tractable and accurate over wide parameter regimes. Our approac…
Pulsar Classification: Comparing Quantum Convolutional Neural Networks and Quantum Support Vector Machines
Donovan Slabbert, Matt Lourens, Francesco Petruccione
Well-known quantum machine learning techniques, namely quantum kernel assisted support vector machines (QSVMs) and quantum convolutional neural networks (QCNNs), are applied to the…
Hierarchical quantum circuit representations for neural architecture search
Matt Lourens, Ilya Sinayskiy, Daniel K. Park +2
Machine learning with hierarchical quantum circuits, usually referred to as Quantum Convolutional Neural Networks (QCNNs), is a promising prospect for near-term quantum computing.…