Beyond Legal Spacing: A Residual-Aware Characterization of Entangling-Zone Spacing in Neutral-Atom Compilation
- URL: http://arxiv.org/abs/2608.17331v1
- Date: Tue, 18 Aug 2026 03:40:59 GMT
- Title: Beyond Legal Spacing: A Residual-Aware Characterization of Entangling-Zone Spacing in Neutral-Atom Compilation
- Abstract summary: Neutral-atom processors rely on spatially arranged qubit arrays and parallel Rydberg entangling gates for scalable execution.<n>This paper studies that gap between geometric legality and residual noise by treating entangling-zone spacing as a cross-layer reliability-parallelism variable anchored to experimental neutral-atom geometry.
- Score: 8.092675025427058
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Neutral-atom processors rely on spatially arranged qubit arrays and parallel Rydberg entangling gates for scalable execution. Their compilers enforce geometric spacing rules for simultaneous gates, yet legal separation does not make residual van der Waals coupling disappear. This paper studies that gap between geometric legality and residual noise by treating entangling-zone spacing as a cross-layer reliability-parallelism variable anchored to experimental neutral-atom geometry. We combine fixed-schedule residual replay, surface-code simulation with matched correlated decoding, and fresh recompilation to connect spacing to physical residual exposure, logical reliability, and makespan cost. The results show that near-floor spacing can produce structured correlated exposure that is visible both at the physical layer and, in the tightest case, after quantum error correction (QEC). Modest geometric slack strongly suppresses this residual contribution, but the timing cost of looser spacing is mediated by placement and scheduling rather than by a simple monotonic slowdown. These findings distinguish hardware legality from residual-noise safety and motivate spacing-aware compiler evaluations that report physical geometry, QEC absorption, and scheduling cost together.
Related papers
- Neuro-Symbolic Closed-Loop Control of Laser Powder Bed Fusion with an In-Loop Ontology [0.28675177318965045]
A geometry-conditioned, neuro-symbolic closed-loop architecture is proposed for laser powder bed fusion.<n>A standards-aligned ontology operates inside the control loop and couples symbolic reasoning with statistical learning to set the targets of a constraint-aware predictive controller.<n>The architecture eliminates the dross produced by a geometry-blind controller, holds dross at zero with only a small residual lack-of-fusion under dual scoring.
arXiv Detail & Related papers (2026-08-06T09:05:38Z) - Nonlocality-induced critical-length hierarchy from non-Hermitian competition [48.9823527611878]
In short-range systems formed by two coupled chains, competition leads to the critical-length law $N_csimln D$.<n>Here we show that long-range hoppings fundamentally reorganizes this critical behavior, producing a hierarchy of distinct scaling laws.<n>Our results offer a platform-independent framework testable in programmable topoelectrical circuits, photonic lattices and digital quantum simulators.
arXiv Detail & Related papers (2026-08-03T18:00:18Z) - Trajectory-Anchor Optimization for Overconfident Thermal Visual Place Recognition: Zero-Leakage OOD Auditing and Kidnapped-Robot Recovery [3.9929096403817255]
Trajectory-Anchor Optimization (TAO) is an efficient fail-safe filter at a macro-scale.<n>Within a 5m radius, hallucinations often possess a locally consistent geometry that deceives rigid alignment.<n>TAO establishes a distinct convergence basin (10m) where multi-view consistency reliably isolates catastrophic topological breaks.
arXiv Detail & Related papers (2026-07-06T07:31:37Z) - Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation [54.74045834035952]
Vision-language dataset distillation (VLDD) compresses a large image-text paired dataset into a small set of synthetic pairs.<n>We propose a rank-aware hyperbolic alignment (RAHA) that combines hierarchical geometry with explicit alignment-capacity control.<n>RAHA demonstrates competitive cross-modal retrieval and improved transfer indicators under fixed budgets.
arXiv Detail & Related papers (2026-06-28T15:41:31Z) - Task-Restricted Symmetries in Recurrent Weight Space [0.0]
Recurrent networks can contain substantial functional redundancy in weight space.<n>We study this redundancy in one-layer tanh RNNs using ordered real Schur coordinates.
arXiv Detail & Related papers (2026-06-16T20:04:07Z) - Unified Geometry-Guided ML-FTLE for Tracking Transient Chaos from Scalar Time Series [0.0]
We propose a geometry-guided machine learning framework that unifies predictive trajectory divergence with macroscopic attractor morphology to track abrupt regime shifts.<n>This equation-free framework provides a highly accurate, noise-resilient diagnostic for monitoring structural transitions in complex non-stationary systems.
arXiv Detail & Related papers (2026-06-05T15:22:57Z) - Coverage Analysis of Rydberg Atom Quantum Receiver Arrays: A Stochastic Geometry Approach [55.47164192369501]
Rydberg atomic quantum receivers (RAQRs) offer quantum-limited sensitivity and broadband tunability.<n>In dense deployments, aggregate interference can push atomic transducer out of its small-signal regime.<n>This paper addresses the question by embedding the RAQR front end into a geometry coverage analysis.
arXiv Detail & Related papers (2026-05-22T04:05:13Z) - Improving Spatio-Temporal Residual Error Propagation by Mitigating Over-Squashing [4.62541204592513]
We introduce Teger, a structured uncertainty module that overcomes the spa- tial and temporal limitations of error-related autoregressive forecasting.<n>Teger is backbone-agnostic, requiring only the latent state produced by any autoregressive encoder.
arXiv Detail & Related papers (2026-05-18T08:51:33Z) - Rejection Mixing: Fast Semantic Propagation of Mask Tokens for Efficient DLLM Inference [58.189320101488725]
DLLMs promise fast non-autoregressive inference but suffer a severe quality-speed trade-off in parallel decoding.<n>We address this by integrating continuous representations into the discrete decoding process, as they preserve rich inter-position dependency.<n>We propose ReMix, a framework that introduces a novel Continuous Mixing State as an intermediate between the initial masked state and the final decoded token state.
arXiv Detail & Related papers (2026-02-26T11:08:11Z) - Parallel Complex Diffusion for Scalable Time Series Generation [50.01609741902786]
PaCoDi is a spectral-native architecture that decouples generative modeling in the frequency domain.<n>We show that PaCoDi outperforms existing baselines in both generation quality and inference speed.
arXiv Detail & Related papers (2026-02-10T14:31:53Z) - Noise-resilient Edge Modes on a Chain of Superconducting Qubits [103.93329374521808]
Inherent symmetry of a quantum system may protect its otherwise fragile states.
We implement the one-dimensional kicked Ising model which exhibits non-local Majorana edge modes (MEMs) with $mathbbZ$ parity symmetry.
MEMs are found to be resilient against certain symmetry-breaking noise owing to a prethermalization mechanism.
arXiv Detail & Related papers (2022-04-24T22:34:15Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.