Paul Griffin

Binary classifiers for noisy datasets: a comparative study of existing quantum machine learning frameworks and some new approaches

2022 · Research Square

<title>Abstract</title> One of the most promising areas of research to obtain practical advantage is Quantum Machine Learning which was born as a result of cross-fertilisation of ideas between Quantum Computing and Classical Machine Learning. In …

VIOLET: Visual Analytics for Explainable Quantum Neural Networks

2023 · arXiv (Cornell University)

With the rapid development of Quantum Machine Learning, quantum neural networks (QNN) have experienced great advancement in the past few years, harnessing the advantages of quantum computing to significantly speed up classical machine learning tasks. …