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Machine learning discovery of new phases in programmable quantum simulator snapshots
Cole Miles, Rhine Samajdar, Sepehr Ebadi +7
Machine learning has recently emerged as a promising approach for studying complex phenomena characterized by rich datasets. In particular, data-centric approaches lend to the poss…
Squeezing Quantum Many-Body Scars
Bennet Windt, Hannes Pichler
We develop an analytical approach for the description of quantum many-body scars in PXP models. We show that the scarred dynamics in the PXP model on a complete bipartite graph can…
Entanglement-Optimal Trajectories of Many-Body Quantum Markov Processes
Tatiana Vovk, Hannes Pichler
We develop a novel approach aimed at solving the equations of motion of open quantum many-body systems. It is based on a combination of generalized wave function trajectories and m…
Quantum Sampling Algorithms, Phase Transitions, and Computational Complexity
Dominik S. Wild, Dries Sels, Hannes Pichler +2
Drawing independent samples from a probability distribution is an important computational problem with applications in Monte Carlo algorithms, machine learning, and statistical phy…
Microscopic characterization of Ising conformal field theory in Rydberg chains
Kevin Slagle, David Aasen, Hannes Pichler +5
Rydberg chains provide an appealing platform for probing conformal field theories (CFTs) that capture universal behavior in a myriad of physical settings. Focusing on a Rydberg cha…
Probing Topological Spin Liquids on a Programmable Quantum Simulator
Giulia Semeghini, Harry Levine, Alexander Keesling +13
Quantum spin liquids, exotic phases of matter with topological order, have been a major focus of explorations in physical science for the past several decades. Such phases feature…
Preparing random states and benchmarking with many-body quantum chaos
Joonhee Choi, Adam L. Shaw, Ivaylo S. Madjarov +11
Producing quantum states at random has become increasingly important in modern quantum science, with applications both theoretical and practical. In particular, ensembles of such r…