Quantum computing with atomic qubits and Rydberg interactions: progress and challenges

By Mark Saffman. 2016

713 citations recorded by the source corpus.

We present a review of quantum computation with neutral atom qubits. After an overview of architectural options and approaches to preparing large qubit arrays we examine Rydberg mediated gate protocols and fidelity for two- and multi-qubit interactions. Quantum simulation and Rydberg dressing are alternatives to circuit based quantum computing for exploring many body quantum dynamics. We review the properties of the dressing interaction and provide a quantitative figure of merit for the complexity of the coherent dynamics that can be accessed with dressing. We conclude with a summary of the current status and an outlook for future progress.

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

View Paper: https://www.semanticscholar.org/paper/063bd3b1e93a14ce47e8ec30b2e7122ac9744e6f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Atomic and Molecular Physics, and Optics

Citations in the corpus

ARC: An open-source library for calculating properties of alkali Rydberg atoms (2016, background): “org They are a flourishing field for quantum information processing [1, 2] and quantum optics [3, 4, 5] in the few to single excitation regime, as well as many-body physics [6, 7, 8, 9, 10, 11], in the many-excitations limit.”
Quantum computing with neutral atoms (2020, background): “In addition to large connectivity, neutral atom devices present the advantage of natively implementing multi-qubit gates involving more that 2 qubits [4, 5, 17, 23].”
Development of Quantum Interconnects (QuICs) for Next-Generation Information Technologies (2021, methodology): “Such matter systems include single atoms [27], quantum dots [100], color centers [24,101,102], rareearth ions [103–108], defect-bound excitons, and superconducting Josephson devices [109], to list a few.”
Big data in healthcare: management, analysis and future prospects (2019, methodology): “The common digital computing uses binary digits to code for the data whereas quantum computation uses quantum bits or qubits [36].”
From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz (2017, background): “In addition to superconducting architectures, ion [13] and neutral atom based [14] devices are also reaching the scale at which intermediate-size experiments would be feasible [12].”
Analysis of imperfections in the coherent optical excitation of single atoms to Rydberg states (2018, background): “Arrays of single atoms trapped in optical tweezers and excited to Rydberg states are a promising platform for quantum simulation [1–5] and quantum information processing [6].”