134 citations
- Centre National de la Recherche ScientifiqueFR25 papers
- Quandela (France)FR15 papers
- Sorbonne UniversitéFR14 papers
- Université Paris-SaclayFR13 papers
- Pasqal (France)FR8 papers
- Université Paris CitéFR7 papers
- Ecole Supérieure d'Ingénieurs Léonard de VinciFR5 papers
- LIP6FR5 papers
- Institut de Mathématiques de Jussieu-Paris Rive GaucheFR4 papers
- Institut d’Optique Graduate SchoolFR4 papers
- Institut national de recherche en sciences et technologies du numériqueFR4 papers
- Laboratoire Charles FabryFR4 papers
9 papers · 2 filters
Quantum Feature Maps for Graph Machine Learning on a Neutral Atom Quantum Processor
Boris Albrecht, Constantin Dalyac, Lucas Leclerc +10
Using a quantum processor to embed and process classical data enables the generation of correlations between variables that are inefficient to represent through classical computati…
Protocols for classically training quantum generative models on probability distributions
Sachin Kasture, Oleksandr Kyriienko, Vincent E. Elfving
Quantum Generative Modelling (QGM) relies on preparing quantum states and generating samples from these states as hidden - or known - probability distributions. As distributions fr…
Connecting XOR and XOR* games
Lorenzo Catani, Ricardo Faleiro, Pierre-Emmanuel Emeriau +2
In this work we focus on two classes of games: XOR nonlocal games and XOR* sequential games with monopartite resources. XOR games have been widely studied in the literature of nonl…
Emergent pair localization in a many-body quantum spin system
Titus Franz, Sebastian Geier, Adrian Braemer +8
Understanding how closed quantum systems dynamically approach thermal equilibrium presents a major unresolved problem in statistical physics. Generically, non-integrable quantum sy…
A Complete Equational Theory for Quantum Circuits
Alexandre Clément, Nicolas Heurtel, Shane Mansfield +2
We introduce the first complete equational theory for quantum circuits. More precisely, we introduce a set of circuit equations that we prove to be sound and complete: two circuits…
Quantum Extremal Learning
Savvas Varsamopoulos, Evan Philip, Herman W. T. van Vlijmen +6
We propose a quantum algorithm for `extremal learning', which is the process of finding the input to a hidden function that extremizes the function output, without having direct ac…