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citation dossier

Ransfordet al., Helios: A 98-qubit trapped-ion quantum computer (2025), arXiv:2511.05465 [quant-ph]

Anthony Ransford, MS Allman, Jake Arkinstall, JP Campora III, Samuel F Cooper, Robert D Delaney, Joan M Dreiling, Brian Estey, Caroline Figgatt, Alex Hall, et al · 2025 · arXiv 2511.05465

17Pith papers citing it
17reference links
quant-phtop field · 15 papers
UNVERDICTEDtop verdict bucket · 15 papers

This arXiv-backed work is queued for full Pith review when it crosses the high-inbound sweep. That review runs reader · skeptic · desk-editor · referee · rebuttal · circularity · lean confirmation · RS check · pith extraction.

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why this work matters in Pith

Pith has found this work in 17 reviewed papers. Its strongest current cluster is quant-ph (15 papers). The largest review-status bucket among citing papers is UNVERDICTED (15 papers). For highly cited works, this page shows a dossier first and a bounded explorer second; it never tries to render every citing paper at once.

years

2026 17

representative citing papers

Scalable linearized gate set tomography

quant-ph · 2026-05-11 · unverdicted · novelty 7.0

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.

Characterizing and Benchmarking Dynamic Quantum Circuits

quant-ph · 2026-04-03 · unverdicted · novelty 7.0

Dynamarq is a new scalable benchmarking framework that defines structural features for dynamic quantum circuits and uses statistical models to predict hardware fidelity with transferable parameters.

Spatial overhead reduction for 2D hypergraph product codes

quant-ph · 2026-05-11 · unverdicted · novelty 6.0

A qubit-reduction method for hypergraph product codes preserves dimension, distance, and fault-tolerance properties, producing smaller codes such as [[441,64,6]] from [[610,64,6]] with comparable noise performance and compatibility with logical gates.

Evaluation-driven Scaling for Scientific Discovery

cs.LG · 2026-04-21 · unverdicted · novelty 6.0

SimpleTES scales test-time evaluation in LLMs to discover state-of-the-art solutions on 21 scientific problems across six domains, outperforming frontier models and optimization pipelines with examples like 2x faster LASSO and new Erdos constructions.

citing papers explorer

Showing 17 of 17 citing papers.