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Aquila: QuEra's 256-qubit neutral-atom quantum computer
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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 using Aquila, and as a reference point for its performance as an analog quantum computer.
Forward citations
Cited by 13 Pith papers
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QTurbo: A Robust and Efficient Compiler for Analog Quantum Simulation
QTurbo decomposes analog quantum compilation into a global linear system and local mixed systems, yielding orders-of-magnitude faster compilation and shorter, more accurate pulses.
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Fast and slow engineered relaxation (the many-body quantum Mpemba effect) on six-atom neutral-atom processors provides a computational-basis benchmark of device quality and separates detuning from amplitude calibratio...
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Thermodynamic sampling of materials using neutral-atom quantum computers
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Experimental preparation of $W$ states through frustration on a programmable quantum simulator
A frustrated antiferromagnetic ring on a Rydberg atom array prepares W states of up to 11 atoms, with a simulation-based Bayesian estimator certifying about 77% fidelity.
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Transversal architecture for megaquop-scale quantum simulation with neutral atoms
A neutral-atom co-designed 'transversal STAR' architecture could reach megaquop-scale Hamiltonian simulation with about 10,000 physical qubits at 1e-3 error rates, corresponding to over 1e6 to 1e7 T gates.
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Concentration-Free Quantum Kernel Learning in the Rydberg Blockade
A Rydberg blockade based quantum kernel is claimed to avoid exponential concentration while remaining classically hard to simulate.
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Evaluation of Noise and Crosstalk in Neutral Atom Quantum Computers
Co-located simulations on a neutral atom machine interfere more when placed closer, and a moving target defense that relocates the victim restores fidelity to about 0.995 in simulator tests.
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ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers
ResQ encodes classification inputs into the Hamiltonian pulses of an analog Rydberg quantum computer and trains it as a 'residual network,' reporting accuracy gains over classical baselines that may stem from weak bas...
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Procrustes Tomography -- reconstructing noisy quantum channels made easy
Procrustes tomography reconstructs quantum process matrices as the least-squares map between input and output density matrices and matches or exceeds standard methods under sampling and preparation noise.
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A Graph-Based Framework for Exploring Mathematical Patterns in Physics: A Proof of Concept
A proof-of-concept system that parses 400 physics equations into a knowledge graph and uses a graph attention network (97.4% AUC) plus symbolic clustering to generate cross-domain hypotheses and internal consistency checks.
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Geometry-Induced Domain-Wall Pinning and $\mathbb{Z}_2$ Asymmetry in Nominally One-Dimensional Rydberg Arrays
Corner geometry and atom vacancies in planar folded 1D Rydberg arrays pin domain walls and break Z2 symmetry between Rydberg and ground states.
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A Framework for Quantum Advantage
A framework defining quantum advantage as verifiable plus classically superior, with a conclusion that random circuit sampling is not yet a satisfactory path.
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Quantum-Enhanced Simulated Annealing Using Rydberg Atoms
Warm-starting simulated annealing with Rydberg-atom measurements gives a consistent but modest speedup over standalone simulated annealing on maximum independent set graphs, with a fitted scaling law extrapolated to l...
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