From the 1 of 9 linked papers with an AI index.
9 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…
Lowering the implementation barrier of neutral-atom quantum computing with agentic workflows
Constantin Dalyac, Alexandre Dauphin, Loïc Henriet +1
The paper introduces AI‑driven agentic workflows that automate the full pipeline—from protocol design to cloud execution—of running quantum algorithms on neutral‑atom (Rydberg) qua…
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.…
Hybrid quantum-classical analog simulation of two-dimensional Fermi-Hubbard models with neutral atoms
Sergi Julià -Farré, Antoine Michel, Christophe Domain +11
We experimentally study the two-dimensional Fermi-Hubbard model using a Rydberg-based quantum processing unit in the analog mode. Our approach avoids encoding directly the original…
A Framework for Quantum Advantage
Olivia Lanes, Mourad Beji, Antonio D. Corcoles +12
As quantum computing approaches the threshold where certain tasks demonstrably outpace their classical machines, the need for a precise, clear, consensus-driven definition of quant…