Many-body physics with individually controlled Rydberg atoms

By Antoine Browaeys, Thierry Lahaye. 2020

1,306 citations recorded by the source corpus.

Recent decades have witnessed great developments in the field of quantum simulation—where synthetic systems are built and studied to gain insight into complicated, many-body real-world problems. Systems of individually controlled neutral atoms, interacting with each other when excited to Rydberg states, have emerged as a promising platform for this task, particularly for the simulation of spin systems. Here, we review the techniques necessary for the manipulation of neutral atoms for the purpose of quantum simulation—such as quantum gas microscopes and arrays of optical tweezers—and explain how the different types of interactions between Rydberg atoms allow a natural mapping onto various quantum spin models. We discuss recent achievements in the study of quantum many-body physics in this platform, and some current research directions beyond that. This Review Article outlines the techniques necessary for the manipulation of neutral atoms and making use of their interactions, when excited to Rydberg states, to achieve the goal of quantum simulation of many-body physics.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/a8fafcc2d9bdf4412bc9d8126082569bca347635

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Citations in the corpus

Quantum computing with neutral atoms (2020, background): “By controlling quantum entanglement and superposition, either with quantum gates in the digital configuration or with Hamiltonians in the analog configuration, they represent a powerful tool to tackle scientific problems and computing challenges.”
Provably efficient machine learning for quantum many-body problems (2021, methodology): “( 75 , 76 ), a programmable and highly controlled platform for Ising-type quantum simulations ( 77 – 82 ).”
Random Quantum Circuits (2022, background): “Analog quantum simulators, such as ultracold atom platforms (28, 29, 30), arrays of atoms with long-range interactions which are tuned by exciting into Rydberg states (31), and trapped atomic ions (32, 33) exert control over constituent degrees of freedom by tuning the Hamiltonian governing their in”
Quantum simulation and computing with Rydberg-interacting qubits (2020, methodology): “We refer to earlier reviews for a more comprehensive overview of the Rydberg platform 26–29 and applications to many-body physics 30–34 .”
The randomized measurement toolbox (2022, background): “23 ), and random unitary operations and state-resolved measurements on single qudits are readily implementable on existing platforms of trapped ions or Rydberg tweezer arrays 5,8 , for instance.”
Practical quantum advantage in quantum simulation (2022, background): “Analogue quantum simulations are today performed on a variety of platforms 20,23,25–27, 109 , each of which offer distinct features that make them more suitable for specific simulation tasks.”
Microwave-engineering of programmable XXZ Hamiltonians in arrays of Rydberg atoms (2021, background): “a promising candidate for quantum simulation [24] and computation [25,26].”
Prediction of Toric Code Topological Order from Rydberg Blockade (2020, background): “[51] Antoine Browaeys and Thierry Lahaye, “Many-body physics with individually controlled rydberg atoms,” Nature Physics 16, 132–142 (2020).”