From the 1 of 5 linked papers with an AI index.
5 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
The paper introduces a noise-aware emulation framework that models dominant hardware noise in neutral‑atom (Rydberg) analog quantum processors and validates its predictions against…
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.…
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…
Identifying hard native instances for the maximum independent set problem on neutral atoms quantum processors
Pierre Cazals, Aymeric François, Loïc Henriet +9
The Maximum Independent Set (MIS) problem is a fundamental combinatorial optimization task that can be naturally mapped onto the Ising Hamiltonian of neutral atom quantum processor…