output
20202026
most citedRearrangement of single atoms in a 2000-site optical tweezers array at cryogenic temperatures

50 citations

25 papers

cs.ET2026

Examining QRMI as a Unified Interface for Quantum-HPC Integration

Thomas Badts, Tim Boyle, Claudio Carvalho +25

The efficient and scalable integration of quantum resources into high-performance computing (HPC) environments requires standardized mechanisms for resource management, scheduling,…

quant-ph2025★ 1 cited

Simulating dynamics of the two-dimensional transverse-field Ising model: a comparative study of large-scale classical numerics

Joseph Vovrosh, Sergi Julià-Farré, Wladislaw Krinitsin +11

The quantum dynamics of many-qubit systems is an outstanding problem that has recently driven significant advances in both numerical methods and programmable quantum processing uni…

quant-ph2025

Attributed-graphs kernel implementation using local detuning of neutral-atoms Rydberg Hamiltonian

Mehdi Djellabi, Matthias Hecker, Shaheen Acheche

We extend the quantum-feature kernel framework, which relies on measurements of graph-dependent observables, along three directions. First, leveraging neutral-atom quantum processi…

quant-ph2025★ 5 cited

Quantum Optimization on Rydberg Atom Arrays with Arbitrary Connectivity: Gadgets Limitations and a Heuristic Approach

Pierre Cazals, Amalia Sorondo, Victor Onofre +3

Programmable quantum systems based on Rydberg atom arrays have recently emerged as a promising testbed for combinatorial optimization. Indeed, the Maximum Weighted Independent Set…

quant-ph2025

Vortex Detection from Quantum Data

Chelsea A. Williams, Annie E. Paine, Antonio A. Gentile +2

Quantum solutions to differential equations represent quantum data -- states that contain relevant information about the system's behavior, yet are difficult to analyze. We propose…

cond-mat.dis-nn2025★ 3 cited

Spin-glass quantum phase transition in amorphous arrays of Rydberg atoms

L. Brodoloni, J. Vovrosh, S. Julià-Farré +2

The experiments performed with neutral atoms trapped in optical tweezers and coherently coupled to the Rydberg state allow quantum simulations of paradigmatic Hamiltonians for quan…

quant-ph2025

Quantum Markov chain Monte Carlo method with programmable quantum simulators

Mauro D'Arcangelo, Younes Javanmard, Natalie Pearson

In this work, we present a quantum Markov chain algorithm for many-body systems that utilizes a special phase of matter known as the Many-Body Localized (MBL) phase. We show how th…

quant-ph2024★ 4 cited

Parametrized multiqubit gate design for neutral-atom based quantum platforms

Madhav Mohan, Julius de Hond, Servaas Kokkelmans

A clever choice and design of gate sets can reduce the depth of a quantum circuit, and can improve the quality of the solution one obtains from a quantum algorithm. This is especia…

quant-ph2024★ 5 cited

Implementing transferable annealing protocols for combinatorial optimisation on neutral atom quantum processors: a case study on smart-charging of electric vehicles

Lucas Leclerc, Constantin Dalyac, Pascale Bendotti +3

In the quantum optimization paradigm, variational quantum algorithms face challenges with hardware-specific and instance-dependent parameter tuning, which can lead to computational…

cond-mat.str-el2024

Dynamical correlations and nonequilibrium sum rules in photodoped Hubbard ladders

E. Merhej, J. P. Hague, R. M. Konik +1

Using matrix product state techniques we study the nonequilibrium dynamical response of the half-filled Hubbard ladder when subject to an optical pump. Optical pumping offers a way…

physics.atom-ph2024★ 50 cited

Rearrangement of single atoms in a 2000-site optical tweezers array at cryogenic temperatures

Grégoire Pichard, Desiree Lim, Etienne Bloch +12

We report on the trapping of single rubidium atoms in large arrays of optical tweezers comprising up to 2088 sites in a cryogenic environment at 6 K. Our approach relies on the use…

quant-ph2024

Quantum-Enhanced Neural Exchange-Correlation Functionals

Igor O. Sokolov, Gert-Jan Both, Art D. Bochevarov +6

Kohn-Sham Density Functional Theory (KS-DFT) provides the exact ground state energy and electron density of a molecule, contingent on the as-yet-unknown universal exchange-correlat…

quant-ph2024★ 32 cited

Enhancing a Many-body Dipolar Rydberg Tweezer Array with Arbitrary Local Controls

Guillaume Bornet, Gabriel Emperauger, Cheng Chen +8

We implement and characterize a protocol that enables arbitrary local controls in a dipolar atom array, where the degree of freedom is encoded in a pair of Rydberg states. Our appr…

cond-mat.quant-gas2024★ 5 cited

Quantum Monte Carlo and perturbative study of two-dimensional Bose-Fermi mixtures

Jacopo D'Alberto, Lorenzo Cardarelli, Davide Emilio Galli +2

We derive analytically the leading beyond-mean field contributions to the zero-temperature equation of state and to the fermionic quasi-particle residue and effective mass of a dil…

cond-mat.quant-gas2024★ 8 cited

Quantized Thouless pumps protected by interactions in dimerized Rydberg tweezer arrays

Sergi Julià-Farré, Javier Argüello-Luengo, Loïc Henriet +1

We study Thouless pumps, i.e., adiabatic topological transport, in an interacting spin chain described by the dimerized XXZ Hamiltonian. In the noninteracting case, quantized Thoul…

quant-ph2024★ 12 cited

Mixed Integer Linear Programming Solver Using Benders Decomposition Assisted by Neutral Atom Quantum Processor

M. Yassine Naghmouchi, Wesley da Silva Coelho

This paper presents a new hybrid classical-quantum approach to solve Mixed Integer Linear Programming (MILP) using neutral atom quantum computations. We apply Benders decomposition…

cond-mat.quant-gas2024★ 9 cited

Amorphous quantum magnets in a two-dimensional Rydberg atom array

Sergi Julià-Farré, Joseph Vovrosh, Alexandre Dauphin

Amorphous solids, i.e., systems which feature well-defined short-range properties but lack long-range order, constitute an important research topic in condensed matter. While their…

quant-ph2024★ 8 cited

A Rydberg-atom approach to the integer factorization problem

Juyoung Park, Seokho Jeong, Minhyuk Kim +6

The task of factoring integers poses a significant challenge in modern cryptography, and quantum computing holds the potential to efficiently address this problem compared to class…

quant-ph2023★ 9 cited

Hubbard physics with Rydberg atoms: using a quantum spin simulator to simulate strong fermionic correlations

Antoine Michel, Loïc Henriet, Christophe Domain +2

We propose a hybrid quantum-classical method to investigate the equilibrium physics and the dynamics of strongly correlated fermionic models with spin-based quantum processors. Our…

quant-ph2023★ 11 cited

Leveraging Analog Quantum Computing with Neutral Atoms for Solvent Configuration Prediction in Drug Discovery

Mauro D'Arcangelo, Daniele Loco, Fresnel team +8

We introduce quantum algorithms able to sample equilibrium water solvent molecules configurations within proteins thanks to analog quantum computing. To do so, we combine a quantum…

quant-ph2022★ 16 cited

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…

quant-ph2022★ 1 cited

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…

cond-mat.str-el2022★ 11 cited

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…

quant-ph2022★ 9 cited

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…