A randomized quench protocol enables the first fully analog measurement of infinite-temperature OTOCs on Rydberg atom arrays, revealing information propagation lightcones.
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9 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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UNVERDICTED 9representative citing papers
Linearized gate set tomography scales error characterization to many qubits via sparse models, linear fitting, and shallow circuits, with simulations showing accuracy on 10-qubit systems including crosstalk.
SpinTune applies reinforcement learning to discover adaptive dynamical decoupling sequences that outperform standard methods at preserving coherence in simulated Carbon-13 spin bath environments.
Ramanujan hypergraphs enable Θ(log N) permutation routing depth for neutral-atom quantum architectures via clique-expansion matchings, virtual overlays, and entanglement-assisted teleportation.
A randomised measurement protocol enables observation of a disorder-induced entanglement transition from chaotic to localised dynamics in a neutral atom quantum processor.
Analog quantum kernels with operational noise outperform noiseless versions in benchmarking and non-Markovianity estimation due to increased expressivity and model complexity.
A 256-qubit neutral atom simulator computes Quantum Evolution Kernels for graph classification on the PROTEINS dataset, achieving slightly better performance than classical kernels.
Random global pulses in Rydberg chains generate states with Haar-like statistics at long times for weak interactions, while optimal control prepares generic symmetric states with infidelities from 10^{-5} to 3e-2 for 9 spins, worsening with entanglement entropy.
DEN models were adjusted to embed real-world graphs onto neutral atom QPUs for quantum ML and optimization tasks, achieving partial to full success rates on two hardware platforms.
citing papers explorer
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Information Propagation in Rydberg Arrays via Analog OTOC Calculations
A randomized quench protocol enables the first fully analog measurement of infinite-temperature OTOCs on Rydberg atom arrays, revealing information propagation lightcones.
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Scalable linearized gate set tomography
Linearized gate set tomography scales error characterization to many qubits via sparse models, linear fitting, and shallow circuits, with simulations showing accuracy on 10-qubit systems including crosstalk.
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SpinTune: Improving the Reliability of Quantum Sensor Networks for Practical Quantum-Classical Utility
SpinTune applies reinforcement learning to discover adaptive dynamical decoupling sequences that outperform standard methods at preserving coherence in simulated Carbon-13 spin bath environments.
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Permutation Routing on Ramanujan Hypergraphs with Applications to Neutral Atom Quantum Architectures
Ramanujan hypergraphs enable Θ(log N) permutation routing depth for neutral-atom quantum architectures via clique-expansion matchings, virtual overlays, and entanglement-assisted teleportation.
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Randomised measurements of a disorder-induced entanglement transition in a neutral atom quantum processor
A randomised measurement protocol enables observation of a disorder-induced entanglement transition from chaotic to localised dynamics in a neutral atom quantum processor.
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Noise-enhanced quantum kernels on analog quantum computers
Analog quantum kernels with operational noise outperform noiseless versions in benchmarking and non-Markovianity estimation due to increased expressivity and model complexity.
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Harnessing a 256-qubit Neutral Atom Simulator for Graph Classification
A 256-qubit neutral atom simulator computes Quantum Evolution Kernels for graph classification on the PROTEINS dataset, achieving slightly better performance than classical kernels.
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Random-State Generation and Preparation Complexity in Rydberg Atom Arrays
Random global pulses in Rydberg chains generate states with Haar-like statistics at long times for weak interactions, while optimal control prepares generic symmetric states with infidelities from 10^{-5} to 3e-2 for 9 spins, worsening with entanglement entropy.
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Harnessing DEN models for quantum computing tasks on neutral atom QPUs
DEN models were adjusted to embed real-world graphs onto neutral atom QPUs for quantum ML and optimization tasks, achieving partial to full success rates on two hardware platforms.