198 citations · 346 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…
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.…
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…
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…
Graph Algorithms with Neutral Atom Quantum Processors
Constantin Dalyac, Lucas Leclerc, Louis Vignoli +9
Neutral atom technology has steadily demonstrated significant theoretical and experimental advancements, positioning itself as a front-runner platform for running quantum algorithm…
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…
Financial Risk Management on a Neutral Atom Quantum Processor
Lucas Leclerc, Luis Ortiz-Guitierrez, Sebastian Grijalva +19
Machine Learning models capable of handling the large datasets collected in the financial world can often become black boxes expensive to run. The quantum computing paradigm sugges…
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…
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…
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…