activity
20162026
most citedPennyLane: Automatic differentiation of hybrid quantum-classical computations

233 citations · 665 across the 10 of their papers we have counts for

collaborators
Showing quant-phShow all

6 papers · 1 filter

quant-ph2026

Plaquette: A hardware-aware design platform for fault-tolerant quantum computers

Raul Conchello Vendrell, Carlos Díaz López, Ish Dhand +12

Hardware teams building fault-tolerant quantum computers (FTQCs) must decide which imperfections to suppress, and that decision requires the logical performance of the architecture…

quant-ph2024★ 5 cited

Hybrid quantum programming with PennyLane Lightning on HPC platforms

Ali Asadi, Amintor Dusko, Chae-Yeun Park +5

We introduce PennyLane's Lightning suite, a collection of high-performance state-vector simulators targeting CPU, GPU, and HPC-native architectures and workloads. Quantum applicati…

quant-ph2021★ 49 cited

Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction

Trevor Vincent, Lee J. O'Riordan, Mikhail Andrenkov +4

We introduce a new open-source software library Jet, which uses task-based parallelism to obtain speed-ups in classical tensor-network simulations of quantum circuits. These speed-…

quant-ph2021★ 113 cited

Quantum Computational Advantage via High-Dimensional Gaussian Boson Sampling

Abhinav Deshpande, Arthur Mehta, Trevor Vincent +10

Photonics is a promising platform for demonstrating a quantum computational advantage (QCA) by outperforming the most powerful classical supercomputers on a well-defined computatio…

quant-ph2020

Quadratic speedup for simulating Gaussian boson sampling

Nicolás Quesada, Rachel S. Chadwick, Bryn A. Bell +4

We introduce an algorithm for the classical simulation of Gaussian boson sampling that is quadratically faster than previously known methods. The complexity of the algorithm is exp…

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,…