Ricci flow for the Bures--Helstrom qubit metric

2026-06-19T08:51:44Zdfd307f6ededd818c9db8241ac44b039ecdb9fb8319391f80cf4802350bfb081
Bures-Helstrom-metricDoeblin-curvesKaluza-KleinMIMOMarkov-chainsNLOS-detectionNyström-kernel-approximationRicci-flowSWIPTble-direction-findingbrane-worldchannel-synthesisdifferential-privacydiffusion-modelsflow-matchinggravitational-communication','Hamiltonian-learning','quantum-seninformation-contractionmachine-learningnear-fieldpinching-antennasquantum-fisherquantum-information-geometrysemidefinite-relaxationsite-specific-channelssupport-vector-classifier

What happened

Collection of recent arXiv submissions (math/IT and related fields) covering: an explicit Ricci flow solution for the Bures–Helstrom qubit metric and its spectral properties; a lightweight ML pipeline for BLE direction-finding LOS/NLOS detection using robust standardization, Nyström kernel approximation and an SVC head; a parity selection rule linking mutual information and entropy production in driven steady states; the introduction of Doeblin curves for refined multi-way contraction analysis with applications to optimization, noisy computation, and differential privacy; site-specific MIMO RF

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_math_it
Record identifier
dfd307f6ededd818c9db8241ac44b039ecdb9fb8319391f80cf4802350bfb081
Enrichment time
2026-06-19T08:51:44Z
AI-assisted enrichment
Yes

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