Aquila: QuEra's 256-qubit neutral-atom quantum computer
Jonathan Wurtz, Alexei Bylinskii, Boris Braverman, Jesse Amato-Grill,, Sergio H. Cantu, Florian Huber, Alexander Lukin, Fangli Liu, Phillip, Weinberg, John Long, Sheng-Tao Wang, Nathan Gemelke, Alexander Keesling

TL;DR
Aquila is QuEra's 256-qubit neutral-atom quantum computer offering programmable quantum dynamics for complex simulations and optimization tasks, accessible via AWS, showcasing its capabilities and performance benchmarks.
Contribution
This paper introduces Aquila, a 256-qubit neutral-atom quantum computer with a configurable architecture, demonstrating its capabilities and applications in quantum simulation and optimization.
Findings
Supports up to 256 qubits
Demonstrates quantum simulation and optimization applications
Provides performance benchmarks and operational details
Abstract
The neutral-atom quantum computer "Aquila" is QuEra's latest device available through the Braket cloud service on Amazon Web Services (AWS). Aquila is a "field-programmable qubit array" (FPQA) operated as an analog Hamiltonian simulator on a user-configurable architecture, executing programmable coherent quantum dynamics on up to 256 neutral-atom qubits. This whitepaper serves as an overview of Aquila and its capabilities: how it works under the hood, key performance benchmarks, and examples that demonstrate some quintessential applications. This includes an overview of neutral-atom quantum computing, as well as five examples of increasing complexity from single-qubit dynamics to combinatorial optimization, implemented on Aquila. This whitepaper is intended for readers who are interested in learning more about neutral-atom quantum computing, as a guide for those who are ready to start…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Machine Learning in Materials Science · Quantum and electron transport phenomena
