1.1k citations · 4.1k across the 22 of their papers we have counts for
23 papers
Predicting Properties of Quantum Systems with Conditional Generative Models
Haoxiang Wang, Maurice Weber, Josh Izaac +1
Machine learning has emerged recently as a powerful tool for predicting properties of quantum many-body systems. For many ground states of gapped Hamiltonians, generative models ca…
Quantum computing with differentiable quantum transforms
Olivia Di Matteo, Josh Izaac, Tom Bromley +6
We present a framework for differentiable quantum transforms. Such transforms are metaprograms capable of manipulating quantum programs in a way that preserves their differentiabil…
Differentiable quantum computational chemistry with PennyLane
Juan Miguel Arrazola, Soran Jahangiri, Alain Delgado +15
This work describes the theoretical foundation for all quantum chemistry functionality in PennyLane, a quantum computing software library specializing in quantum differentiable pro…
General parameter-shift rules for quantum gradients
David Wierichs, Josh Izaac, Cody Wang +1
Variational quantum algorithms are ubiquitous in applications of noisy intermediate-scale quantum computers. Due to the structure of conventional parametrized quantum gates, the ev…
Variational quantum algorithm for molecular geometry optimization
Alain Delgado, Juan Miguel Arrazola, Soran Jahangiri +4
Classical algorithms for predicting the equilibrium geometry of strongly correlated molecules require expensive wave function methods that become impractical already for few-atom s…
Fast simulation of bosonic qubits via Gaussian functions in phase space
J. Eli Bourassa, Nicolás Quesada, Ilan Tzitrin +6
Bosonic qubits are a promising route to building fault-tolerant quantum computers on a variety of physical platforms. Studying the performance of bosonic qubits under realistic gat…
Quantum circuits with many photons on a programmable nanophotonic chip
J. M. Arrazola, V. Bergholm, K. Brádler +36
Growing interest in quantum computing for practical applications has led to a surge in the availability of programmable machines for executing quantum algorithms. Present day photo…
Quantum embeddings for machine learning
Seth Lloyd, Maria Schuld, Aroosa Ijaz +2
Quantum classifiers are trainable quantum circuits used as machine learning models. The first part of the circuit implements a quantum feature map that encodes classical inputs int…
Applications of Near-Term Photonic Quantum Computers: Software and Algorithms
Thomas R. Bromley, Juan Miguel Arrazola, Soran Jahangiri +7
Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing. Recent efforts have led to the discovery of GBS algorithms with applications to graph-based pr…
Transfer learning in hybrid classical-quantum neural networks
Andrea Mari, Thomas R. Bromley, Josh Izaac +2
We extend the concept of transfer learning, widely applied in modern machine learning algorithms, to the emerging context of hybrid neural networks composed of classical and quantu…
Quantum Natural Gradient
James Stokes, Josh Izaac, Nathan Killoran +1
A quantum generalization of Natural Gradient Descent is presented as part of a general-purpose optimization framework for variational quantum circuits. The optimization dynamics is…
Simulating realistic non-Gaussian state preparation
N. Quesada, L. G. Helt, J. Izaac +4
We consider conditional photonic non-Gaussian state preparation using multimode Gaussian states and photon-number-resolving detectors in the presence of photon loss. While simulati…
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…
OpenFermion: The Electronic Structure Package for Quantum Computers
Jarrod R. McClean, Kevin J. Sung, Ian D. Kivlichan +32
Quantum simulation of chemistry and materials is predicted to be an important application for both near-term and fault-tolerant quantum devices. However, at present, developing and…
Centrality measure based on continuous-time quantum walks and experimental realization
Josh A. Izaac, Xiang Zhan, Zhihao Bian +4
Network centrality has important implications well beyond its role in physical and information transport analysis; as such, various quantum walk-based algorithms have been proposed…
Reconfigurable magnetic domain wall pinning at the nano-scale using vortex-generated magnetic fields
Aaron C. H. Hurst, Joshua A. Izaac, Fouzia Altaf +2
We demonstrate that the stray magnetic field generated beneath magnetic vortex cores can be used to generate nano-scale, localized pinning sites for magnetic domain walls in an und…
Quantum centrality testing on directed graphs via PT-symmetric quantum walks
J. A. Izaac, J. B. Wang, P. C. Abbott +1
Various quantum-walk based algorithms have been proposed to analyse and rank the centrality of graph vertices. However, issues arise when working with directed graphs --- the resul…
Quantum Fourier Transform in Computational Basis
S. S. Zhou, T. Loke, J. A. Izaac +1
The conventional Quantum Fourier Transform, with exponential speedup compared to the classical Fast Fourier Transform, has played an important role in quantum computation as a vita…