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05/19/2022
Machine learning applications for noisy intermediate-scale quantum computers
Quantum machine learning has proven to be a fruitful area in which to se...
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11/04/2021
Graph neural network initialisation of quantum approximate optimisation
Approximate combinatorial optimisation has emerged as one of the most pr...
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10/08/2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits
Generative modelling is an important unsupervised task in machine learni...
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03/11/2021
Variational inference with a quantum computer
Inference is the task of drawing conclusions about unobserved variables ...
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12/21/2020
Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis
Cryptanalysis on standard quantum cryptographic systems generally involv...
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08/03/2020
Certified Randomness From Steering Using Sequential Measurements
The generation of certifiable randomness is one of the most promising ap...
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08/03/2020
Quantum versus Classical Generative Modelling in Finance
Finding a concrete use case for quantum computers in the near term is st...
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03/03/2020
Robust data encodings for quantum classifiers
Data representation is crucial for the success of machine learning model...
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04/03/2019