109 citations · 326 across the 10 of their papers we have counts for
11 papers
Exploring the Relaxation Landscape of a 2D Quantum Magnet on a 256-Qubit Processor
Tiago Mendes-Santos, Joseph Vovrosh, Sergi Julià-Farré +33
How quantum matter relaxes far from equilibrium is a central open problem in many-body physics, and one for which analog quantum simulators are well positioned to move from confirm…
Noise-aware emulation and cross-device validation of neutral atom analog quantum processing units
Constantin Dalyac, Sergi Julià-Farré, Lucas Leclerc +26
Analog quantum processors based on Rydberg atom arrays are a powerful platform for many-body quantum simulation, combinatorial optimization, and graph machine learning. As these de…
Strategic Plan for Neutral Atom Quantum Computation
Adrian J. Menssen, Tout Wang, Michael Gullans +53
We present a strategic plan for neutral atom quantum computation, bringing together hardware development and theory advancements to achieve the goal of practical quantum advantage.…
Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor
Pauline Mathiot, Elio Garnaoui, Axel-Ugo Leriche +37
We report on a performance comparison between physical and logical computations on a prototypical machine-learning application: solving differential equations using quantum kernel…
One-to-one quantum simulation of a frustrated magnet with 256 qubits
Lucas Leclerc, Sergi Julià-Farré, Gabriel Silva Freitas +33
Analog quantum simulators offer a powerful microscopic probe of quantum many-body systems, yet have largely been benchmarked against model Hamiltonians rather than real materials.…
Analog Counterdiabatic Quantum Computing
Qi Zhang, Narendra N. Hegade, Alejandro Gomez Cadavid +6
We propose analog counterdiabatic quantum computing (ACQC) to tackle combinatorial optimization problems on neutral-atom quantum processors. While these devices allow for the use o…
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…
Model for two-body collisions between ultracold dipolar molecules around a Förster resonance in an electric field
Lucas Lassablière, Goulven Quéméner
We propose a one-channel, simple model to describe the dynamics of ultracold dipolar molecules around a Förster resonance. Slightly above a specific electric field, a collisional s…
Self-bound dipolar droplets and supersolids in molecular Bose-Einstein condensates
Matthias Schmidt, Lucas Lassablière, Goulven Quéméner +1
We numerically study the many-body physics of molecular Bose-Einstein condensates with strong dipole-dipole interactions. We observe the formation of self-bound droplets, and explo…
Tuning of dipolar interactions and evaporative cooling in a three-dimensional molecular quantum gas
Jun-Ru Li, William G. Tobias, Kyle Matsuda +8
Ultracold polar molecules possess long-range, anisotropic, and tunable dipolar interactions, providing the opportunities to probe quantum phenomena inaccessible with existing cold…
Controlling the scattering length of ultracold dipolar molecules
Lucas Lassablière, Goulven Quéméner
By applying a circularly polarized and slightly blue-detuned microwave field with respect to the first excited rotational state of a dipolar molecule, one can engineer a long-range…