233 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR9 papers
- Vinci (France)FR8 papers
- Université Paris-SaclayFR7 papers
- Laboratoire Charles FabryFR6 papers
- Institut d’Optique Graduate SchoolFR5 papers
- Pennsylvania Academy of ScienceUS5 papers
- University of ExeterGB4 papers
- Forschungszentrum JülichDE3 papers
- Freie Universität BerlinDE3 papers
- Sorbonne UniversitéFR3 papers
- Universität InnsbruckAT3 papers
- Boehringer Ingelheim (Austria)AT2 papers
25 papers
Wave function network description and Kolmogorov complexity of quantum many-body systems
T. Mendes-Santos, M. Schmitt, A. Angelone +8
Programmable quantum devices are now able to probe wave functions at unprecedented levels. This is based on the ability to project the many-body state of atom and qubit arrays onto…
A blueprint for a Digital-Analog Variational Quantum Eigensolver using Rydberg atom arrays
Antoine Michel, Sebastian Grijalva, Loïc Henriet +2
We address the task of estimating the ground-state energy of Hamiltonians coming from chemistry. We study numerically the behavior of a digital-analog variational quantum eigensolv…
Quantum pricing-based column-generation framework for hard combinatorial problems
Wesley da Silva Coelho, Loïc Henriet, Louis-Paul Henry
In this work, we present a complete hybrid classical-quantum algorithm involving a quantum sampler based on neutral atom platforms. This approach is inspired by classical column ge…
Emergence of anyonic correlations from spin and charge dynamics in one dimension
Oleksandr Gamayun, Eoin Quinn, Kemal Bidzhiev +1
We propose a transformation for spin and charge degrees of freedom in one-dimensional lattice systems, constrained to have no doubly occupied sites, that allows direct access to th…
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…
Purification-based quantum error mitigation of pair-correlated electron simulations
T. E. O'Brien, G. Anselmetti, F. Gkritsis +173
An important measure of the development of quantum computing platforms has been the simulation of increasingly complex physical systems. Prior to fault-tolerant quantum computing,…
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…
Scalably learning quantum many-body Hamiltonians from dynamical data
Frederik Wilde, Augustine Kshetrimayum, Ingo Roth +3
The physics of a closed quantum mechanical system is governed by its Hamiltonian. However, in most practical situations, this Hamiltonian is not precisely known, and ultimately all…
Deterministic Free-Propagating Photonic Qubits with Negative Wigner Functions
Valentin Magro, Julien Vaneecloo, Sébastien Garcia +1
Engineering quantum states of free-propagating light is of paramount importance for quantum technologies. Coherent states ubiquitous in classical and quantum communications, squeez…
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…
Continuous Symmetry Breaking in a Two-dimensional Rydberg Array
Cheng Chen, Guillaume Bornet, Marcus Bintz +13
Spontaneous symmetry breaking underlies much of our classification of phases of matter and their associated transitions. The nature of the underlying symmetry being broken determin…
Learning Quantum Systems
Valentin Gebhart, Raffaele Santagati, Antonio Andrea Gentile +7
The future development of quantum technologies relies on creating and manipulating quantum systems of increasing complexity, with key applications in computation, simulation and se…
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…
Emergent XY* transition driven by symmetry fractionalization and anyon condensation
Michael Schuler, Louis-Paul Henry, Yuan-Ming Lu +1
Anyons in a topologically ordered phase can carry fractional quantum numbers with respect to the symmetry group of the considered system, one example being the fractional charge of…
Quantum Kernel Methods for Solving Differential Equations
Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko
We propose several approaches for solving differential equations (DEs) with quantum kernel methods. We compose quantum models as weighted sums of kernel functions, where variables…
Hardware-Tailored Diagonalization Circuits
Daniel Miller, Laurin E. Fischer, Kyano Levi +5
A central building block of many quantum algorithms is the diagonalization of Pauli operators. Although it is always possible to construct a quantum circuit that simultaneously dia…
Protocols for Trainable and Differentiable Quantum Generative Modelling
Oleksandr Kyriienko, Annie E. Paine, Vincent E. Elfving
We propose an approach for learning probability distributions as differentiable quantum circuits (DQC) that enable efficient quantum generative modelling (QGM) and synthetic data g…
Quantum Model Learning Agent: characterisation of quantum systems through machine learning
Brian Flynn, Antonio Andreas Gentile, Nathan Wiebe +2
Accurate models of real quantum systems are important for investigating their behaviour, yet are difficult to distill empirically. Here, we report an algorithm -- the Quantum Model…
Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series
Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko
We propose a quantum algorithm for sampling from a solution of stochastic differential equations (SDEs). Using differentiable quantum circuits (DQCs) with a feature map encoding of…
Microwave-engineering of programmable XXZ Hamiltonians in arrays of Rydberg atoms
P. Scholl, H. J. Williams, G. Bornet +13
We use the resonant dipole-dipole interaction between Rydberg atoms and a periodic external microwave field to engineer XXZ spin Hamiltonians with tunable anisotropies. The atoms a…
Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays
Henrique Silvério, Sebastián Grijalva, Constantin Dalyac +6
Programmable arrays of hundreds of Rydberg atoms have recently enabled the exploration of remarkable phenomena in many-body quantum physics. In addition, the development of high-fi…
Many-body localization in waveguide QED
Nikos Fayard, Loïc Henriet, Ana Asenjo-Garcia +1
At the quantum many-body level, atom-light interfaces generally remain challenging to solve for or understand in a non-perturbative fashion. Here, we consider a waveguide quantum e…
Storage and release of subradiant excitations in a dense atomic cloud
Giovanni Ferioli, Antoine Glicenstein, Loic Henriet +2
We report the observation of subradiance in dense ensembles of cold Rb atoms operating near Dicke's regime of a large number of atoms in a volume with dimensions smaller tha…
Qualifying quantum approaches for hard industrial optimization problems. A case study in the field of smart-charging of electric vehicles
Constantin Dalyac, Loïc Henriet, Emmanuel Jeandel +4
In order to qualify quantum algorithms for industrial NP-Hard problems, comparing them to available polynomial approximate classical algorithms and not only to exact ones -- expone…