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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Aquila: Quera’s 256-qubit neutral-atom quantum computer
21 Pith papers cite this work. Polarity classification is still indexing.
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The global transverse-field Ising model with non-monotonic time-dependent transverse field is polynomially equivalent to the gate model of quantum computation.
A compiler for neutral-atom NISQ devices introduces hub traps and shuttling rules to compile circuits that SWAP-only methods cannot handle in practical time, eliminating SWAP gates and improving a fidelity proxy on routing-dominated benchmarks.
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.
Proposes a hybrid quantum-classical framework for running event-based graph neural networks on neutral-atom processors by mapping events to atoms and programming the Rydberg Hamiltonian to realize message passing.
Proof-of-principle measurement-based blind quantum computation on a modular superconducting processor executing a 3-qubit Deutsch-Jozsa algorithm with verified information privacy.
SpinTune applies reinforcement learning to discover adaptive dynamical decoupling sequences that outperform standard methods at preserving coherence in simulated Carbon-13 spin bath environments.
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.
Dual-parameter modulation of detuning and Rabi frequency broadens the dynamical freezing regime in interacting Rydberg arrays by coherently canceling interaction-induced absorption pathways identified through perturbative Floquet analysis.
Experiments, numerics, and analytics on Rydberg atoms in a Lieb lattice reveal density-wave phases including a fluctuation-stabilized collinear order, a quantum liquid-vapor transition with hysteresis, and kinetically constrained slow relaxation after quenches.
A DFT-embedded quantum-selected configuration interaction framework combines quantum and classical methods to achieve ~1 kcal/mol accuracy on large-scale chemical systems using a subset of qubits from a 144-qubit quantum computer.
A 256-qubit neutral atom simulator computes Quantum Evolution Kernels for graph classification on the PROTEINS dataset, achieving slightly better performance than classical kernels.
Proves Θ(log N) routing number for Ramanujan (d,r)-regular hypergraphs via clique expansion matchings and develops applications to neutral atom qubit routing including virtual overlays, entanglement assistance, and hierarchical methods.
Supervised ML trained on simulated gate set tomography data predicts noise models to build cross-hardware quantum emulators, validated by matching H2 unitary coupled cluster energy results to real hardware within 0.128% relative error.
Defines an entanglement-structure factor from Fourier analysis of site concurrences and compares it to local-density order parameters for Z_n transitions in Rydberg chains.
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.
TDVP-MPS simulations of Rydberg atom chains mitigate exponential concentration in QELM, yielding competitive MNIST accuracy via controlled entanglement and disorder without requiring exact quantum dynamics.
A synthesis of expert insights from the ADAC Quantum Computing Working Group and member survey on the complementary roles of quantum and classical high-performance computing in future hybrid infrastructures.
Review synthesizing crosstalk mechanisms, mitigation strategies, and security vulnerabilities across major quantum computing platforms from existing literature.
citing papers explorer
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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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The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute
A synthesis of expert insights from the ADAC Quantum Computing Working Group and member survey on the complementary roles of quantum and classical high-performance computing in future hybrid infrastructures.