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Companion site for the textbook Quantum Computing: An Applied Approach
This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".
A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.
This repository contains the source code necessary to reproduce the figures and simulation results of the url[paper](XXX) "The effect of data encoding on the expressive power of variational quantum…
Qiskit Camp Europe 2019 (winning project)
This repository implements the architecture proposed by Verdon et al. in the paper Learning to learn with quantum neural networks via classical neural networks, using PennyLane and TensorFlow.
This repository contains the source code used to produce the results presented in the paper "Progress towards practical qubit computation using approximate Gottesman-Kitaev-Preskill codes".
Google Summer of Code (GSOC) Machine Learning for Science (ML4SCI) Quantum Machine Learning for High Energy Physics (HEP)
"Hybrid quantum programming with PennyLane Lightning on HPC platforms" accompanying data and workloads
This repository contains the source code used to produce the results presented in " Franck-Condon factors by counting perfect matchings of graphs with loops " J. Chem. Phys. 150, 164113 (2019).
Image processing for solar eclipse photography in Jupyter
This repository contains the code used to produce the data and figures in our paper on general parameter shift rules for quantum gradients
Quantum Computing classifier using Pennylane
Quantum just-in-time compiling Shor's algorithm with Catalyst
Supplemental material for arXiv:1805.06868
A repository of resources for students and alumni of readr