activity
20172022
most citedPennyLane: Automatic differentiation of hybrid quantum-classical computations

233 citations · 262 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2022★ 1 cited

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…

quant-ph2020★ 9 cited

A QUBO Formulation for Qubit Allocation

Bryan Dury, Olivia Di Matteo

To run an algorithm on a quantum computer, one must choose an assignment from logical qubits in a circuit to physical qubits on quantum hardware. This task of initial qubit placeme…

quant-ph2020★ 13 cited

Operational, gauge-free quantum tomography

Olivia Di Matteo, John Gamble, Chris Granade +2

As increasingly impressive quantum information processors are realized in laboratories around the world, robust and reliable characterization of these devices is now more urgent th…

quant-ph2018★ 233 cited

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,…

quant-ph2017★ 6 cited

Coarse graining the phase space of qubits

Olivia Di Matteo, Luis L. Sanchez-Soto, Gerd Leuchs +1

We develop a systematic coarse graining procedure for systems of qubits. We exploit the underlying geometrical structures of the associated discrete phase space to produce a co…