1.1k citations · 4.1k across the 22 of their papers we have counts for
6 papers · 1 filter
Evaluating analytic gradients on quantum hardware
Maria Schuld, Ville Bergholm, Christian Gogolin +2
An important application for near-term quantum computing lies in optimization tasks, with applications ranging from quantum chemistry and drug discovery to machine learning. In man…
PennyLane: Automatic differentiation of hybrid quantum-classical computations
Ville Bergholm, Josh Izaac, Maria Schuld +65
PennyLane is a Python 3 software framework for differentiable programming of quantum computers. The library provides a unified architecture for near-term quantum computing devices,…
Graph isomorphism and Gaussian boson sampling
Kamil Bradler, Shmuel Friedland, Josh Izaac +2
We introduce a connection between a near-term quantum computing device, specifically a Gaussian boson sampler, and the graph isomorphism problem. We propose a scheme where graphs a…
Production of photonic universal quantum gates enhanced by machine learning
Krishna Kumar Sabapathy, Haoyu Qi, Josh Izaac +1
We introduce photonic architectures for universal quantum computation. The first step is to produce a resource state which is a superposition of the first four Fock states with a p…
Machine learning method for state preparation and gate synthesis on photonic quantum computers
Juan Miguel Arrazola, Thomas R. Bromley, Josh Izaac +3
We show how techniques from machine learning and optimization can be used to find circuits of photonic quantum computers that perform a desired transformation between input and out…
Strawberry Fields: A Software Platform for Photonic Quantum Computing
Nathan Killoran, Josh Izaac, Nicolás Quesada +3
We introduce Strawberry Fields, an open-source quantum programming architecture for light-based quantum computers, and detail its key features. Built in Python, Strawberry Fields i…