184 citations · 727 across the 14 of their papers we have counts for
14 papers
High-fidelity entangling gates and nonlocal circuits with neutral atoms
Simon J. Evered, Muqing Xu, Sophie H. Li +9
Creation and manipulation of entanglement with low error is essential in quantum information systems. In practice, two-qubit entangling gates constitute a dominant error source, li…
Engineering quantum criticality and dynamics on an analog-digital simulator
Alexandra A. Geim, Nazli Ugur Koyluoglu, Simon J. Evered +14
Understanding emergent phenomena in out-of-equilibrium interacting many-body systems is an exciting frontier in physical science. While quantum simulators represent a promising app…
Architectural mechanisms of a universal fault-tolerant quantum computer
Dolev Bluvstein, Alexandra A. Geim, Sophie H. Li +20
Quantum error correction (QEC) is believed to be essential for the realization of large-scale quantum computers. However, due to the complexity of operating on the encoded `logical…
Optimized Gutzwiller Projected States for Doped Antiferromagnets in Fermi-Hubbard Simulators
Christian Reinmoser, Muqing Xu, Lev Haldar Kendrick +6
In quantum many-body physics, one aims to understand emergent phenomena and effects of strong interactions, ideally by developing a simple theoretical picture. Recently, progress i…
A neutral-atom Hubbard quantum simulator in the cryogenic regime
Muqing Xu, Lev Haldar Kendrick, Anant Kale +6
Ultracold fermionic atoms in optical lattices offer pristine realizations of Hubbard models, which are fundamental to modern condensed matter physics. Despite significant advanceme…
Probing the Kitaev honeycomb model on a neutral-atom quantum computer
Simon J. Evered, Marcin Kalinowski, Alexandra A. Geim +15
Quantum simulations of many-body systems are among the most promising applications of quantum computers. In particular, models based on strongly-correlated fermions are central to…
Ferrimagnetism of ultracold fermions in a multi-band Hubbard system
Martin Lebrat, Anant Kale, Lev Haldar Kendrick +6
Strongly correlated materials feature multiple electronic orbitals which are crucial to accurately understand their many-body properties, from cuprate materials to twisted bilayer…
Observation of Nagaoka Polarons in a Fermi-Hubbard Quantum Simulator
Martin Lebrat, Muqing Xu, Lev Haldar Kendrick +7
Quantum interference can deeply alter the nature of many-body phases of matter. In the paradigmatic case of the Hubbard model, Nagaoka famously proved that introducing a single iti…
Frustration- and doping-induced magnetism in a Fermi-Hubbard simulator
Muqing Xu, Lev Haldar Kendrick, Anant Kale +5
Geometrical frustration in strongly correlated systems can give rise to a plethora of novel ordered states and intriguing magnetic phases, such as quantum spin liquids. Promising c…
Schrieffer-Wolff Transformations for Experiments: Dynamically Suppressing Virtual Doublon-Hole Excitations in a Fermi-Hubbard Simulator
Anant Kale, Jakob Hendrik Huhn, Muqing Xu +7
In strongly interacting systems with a separation of energy scales, low-energy effective Hamiltonians help provide insights into the relevant physics at low temperatures. The emerg…
Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data
Cole Miles, Annabelle Bohrdt, Ruihan Wu +7
Machine learning models are a powerful theoretical tool for analyzing data from quantum simulators, in which results of experiments are sets of snapshots of many-body states. Recen…
Coupling a mobile hole to an antiferromagnetic spin background: Transient dynamics of a magnetic polaron
Geoffrey Ji, Muqing Xu, Lev Haldar Kendrick +8
Understanding the interplay between charge and spin and its effects on transport is a ubiquitous challenge in quantum many-body systems. In the Fermi-Hubbard model, this interplay…
Classifying Snapshots of the Doped Hubbard Model with Machine Learning
Annabelle Bohrdt, Christie S. Chiu, Geoffrey Ji +6
Quantum gas microscopes for ultracold atoms can provide high-resolution real-space snapshots of complex many-body systems. We implement machine learning to analyze and classify suc…
String patterns in the doped Hubbard model
Christie S. Chiu, Geoffrey Ji, Annabelle Bohrdt +6
Understanding strongly correlated quantum many-body states is one of the most difficult challenges in modern physics. For example, there remain fundamental open questions on the ph…