6 papers
Quantum Variational Learning of the Entanglement Hamiltonian
Christian Kokail, Bhuvanesh Sundar, Torsten V. Zache +5
Learning the structure of the entanglement Hamiltonian (EH) is central to characterizing quantum many-body states in analog quantum simulation. We describe a protocol where spatial…
Entanglement Hamiltonian Tomography in Quantum Simulation
Christian Kokail, Rick van Bijnen, Andreas Elben +2
Entanglement is the crucial ingredient of quantum many-body physics, and characterizing and quantifying entanglement in closed system dynamics of quantum simulators is an outstandi…
Cross-Platform Verification of Intermediate Scale Quantum Devices
Andreas Elben, Benoît Vermersch, Rick van Bijnen +7
We describe a protocol for cross-platform verification of quantum simulators and quantum computers. We show how to measure directly the overlap an…
Variational spin-squeezing algorithms on programmable quantum sensors
Raphael Kaubruegger, Pietro Silvi, Christian Kokail +5
Arrays of atoms trapped in optical tweezers combine features of programmable analog quantum simulators with atomic quantum sensors. Here we propose variational quantum algorithms,…
Deep Learning-Assisted Classification of Site-Resolved Quantum Gas Microscope Images
Lewis R. B. Picard, Manfred J. Mark, Francesca Ferlaino +1
We present a novel method for the analysis of quantum gas microscope images, which uses deep learning to improve the fidelity with which lattice sites can be classified as occupied…
From coherent collective excitation to Rydberg blockade on an atom chip
Julius de Hond, Rick van Bijnen, S. J. J. M. F. Kokkelmans +3
Using time-resolved measurements, we demonstrate coherent collective Rydberg excitation crossing over into Rydberg blockade in a dense and ultracold gas trapped at a distance of 10…