most citedPiquasso: A Photonic Quantum Computer Simulation Software Platform

7 citations · 15 across the 6 of their papers we have counts for

collaborators

7 papers

quant-ph2024★ 2 cited

Quantum-Classical Autoencoder Architectures for End-to-End Radio Communication

Zsolt I. Tabi, Bence Bakó, Dániel T. R. Nagy +4

This paper presents a comprehensive study on the possible hybrid quantum-classical autoencoder architectures for end-to-end radio communication against noisy channel conditions usi…

quant-ph2024

Problem-informed Graphical Quantum Generative Learning

Bence Bakó, Dániel T. R. Nagy, Péter Hága +2

Leveraging the intrinsic probabilistic nature of quantum systems, generative quantum machine learning (QML) offers the potential to outperform classical learning models. Current ge…

quant-ph2024★ 1 cited

Generalized group designs: constructing novel unitary 2-, 3- and 4-designs

Ágoston Kaposi, Zoltán Kolarovszki, Adrián Solymos +1

Unitary designs are essential tools in several quantum information protocols. Similarly to other design concepts, unitary designs are mainly used to facilitate averaging over a rel…

quant-ph2024★ 7 cited

Piquasso: A Photonic Quantum Computer Simulation Software Platform

Zoltán Kolarovszki, Tomasz Rybotycki, Péter Rakyta +10

We introduce the Piquasso quantum programming framework, a full-stack open-source software platform for the simulation and programming of photonic quantum computers. Piquasso can b…

quant-ph2024★ 1 cited

Treespilation: Architecture- and State-Optimised Fermion-to-Qubit Mappings

Aaron Miller, Adam Glos, Zoltán Zimborás

Quantum computers hold great promise for efficiently simulating Fermionic systems, benefiting fields like quantum chemistry and materials science. To achieve this, algorithms typic…

quant-ph2024★ 1 cited

Batched Line Search Strategy for Navigating through Barren Plateaus in Quantum Circuit Training

Jakab Nádori, Gregory Morse, Barna Fülöp Villám +3

Variational quantum algorithms are viewed as promising candidates for demonstrating quantum advantage on near-term devices. These approaches typically involve the training of param…