activity
20192022
most citedQuanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits

13 citations · 14 across the 3 of their papers we have counts for

collaborators

5 papers

quant-ph2022

Beyond Ansätze: Learning Quantum Circuits as Unitary Operators

Bálint Máté, Bertrand Le Saux, Maxwell Henderson

This paper explores the advantages of optimizing quantum circuits on wires as operators in the unitary group . We run gradient-based optimization in the Lie algebra $\m…

quant-ph2020

Quantum versus Classical Generative Modelling in Finance

Brian Coyle, Maxwell Henderson, Justin Chan Jin Le +3

Finding a concrete use case for quantum computers in the near term is still an open question, with machine learning typically touted as one of the first fields which will be impact…

quant-ph20201 cited

Methods for Accelerating Geospatial Data Processing Using Quantum Computers

Maxwell Henderson, Jarred Gallina, Michael Brett

Quantum computing is a transformative technology with the potential to enhance operations in the space industry through the acceleration of optimization and machine learning proces…

quant-ph2020

Optimizing the Optimizer: Decomposition Techniques for Quantum Annealing

Gideon Bass, Max Henderson, Joshua Heath +1

Although quantum computing hardware has evolved significantly in recent years, spurred by increasing industrial and government interest, the size limitation of current generation q…

quant-ph201913 cited

Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits

Maxwell Henderson, Samriddhi Shakya, Shashindra Pradhan +1

Convolutional neural networks (CNNs) have rapidly risen in popularity for many machine learning applications, particularly in the field of image recognition. Much of the benefit ge…