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Elsevier eBooks

DATA PROCESSING IN MANY WORLDS

Frank H. George

Published Jan 1, 1977• 0 citations
Publisher
DOI
10.1016/b978-0-08-021229-6.50010-9

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BOUNDARY OF WORLDS: A unified experimental protocol for the detection of the transition from quantum reality to classical in inert and biological matter

Mikhail Nitsberg

BOUNDARY OF WORLDS: A unified experimental protocol for the detection of the transition from quantum reality to classical in inert and biological matter

•Oct 7, 2026•0 citations

In Many Worlds

Jacob Alkow

•Apr 1, 1985•0 citations

USING NOISE TO IMPROVE MEASUREMENT AND INFORMATION PROCESSING

Solenna Blanchard, David Rousseau, François Chapeau‐Blondeau

This paper proposes a synthetic presentation on the phenomenon of stochastic resonance or improvement through the action of noise. Several situations and mechanisms are reported, demonstrating a constructive role of noise, in the context of measurement and sensors, data and information processing, with examples on digital images.

International Conference on Informatics in Control, Automation and Robotics (ICINCO)•Jan 1, 2007•0 citations

EL-RAKHAWI VERIFIED ASTRO-QUANTUM PROCESSING FRAMEWORK (VAQPF) A Unified Architecture for Sovereign, Mathematically Guaranteed, and Energy-Efficient Processing of Exascale Astronomical Data

m el-rakhawi

The El-Rakhawi Verified Astro-Quantum Processing Framework (VAQPF) revolutionizes exascale astronomical data processing through four integrated pillars: (1) Neuro-Symbolic Astro-Filter with Bounded Formal Verification, mathematically guaranteeing signal validity within instrument noise uncertainty ($P_{valid} = P_{neural}(S|D) \times V_{bounded}(S, \Phi_{astro}, \Sigma_{noise})$), reducing false positives to <0.1% while preserving >95% of novel discoveries; (2) Topological Quantum Graph Mapper achieving polynomial-time complexity $O(poly(N) \cdot \log(1/\epsilon))$ specifically for bounded-degree structured astronomical datasets (cosmic web, N-body simulations), bypassing classical NP-hard bottlenecks; (3) Sovereign Federated Astro-Data Nodes utilizing Post-Quantum Cryptography and Incremental Verifiable Computation (IVC) with recursive zk-SNARKs, maintaining $O(\log(N_{data}))$ verification while managing prover complexity at $O(N_{batch} \cdot \log(N_{batch}))$ to prevent exascale bottlenecks; (4) Cryogenic Photonic Data Ingestion handling Terahertz bandwidths with minimal thermal dissipation. Field projections demonstrate 48-hour classical processing reduced to 15 minutes for cosmic graph mapping (10^6 nodes), 90% false positive reduction versus deep learning, and bandwidth costs slashed from $2M/month to <$50K/month through federated architecture. Protected by 6 comprehensive PCT claims covering bounded verification, structured dataset quantum mapping, incremental zk-SNARK sovereign nodes, and photonic hardware, VAQPF transforms astroinformatics from probabilistic guesswork to mathematically guaranteed, sovereign, energy-efficient cosmic discovery, ensuring humanity's exploration of the universe is built on unassailable truth within measurable bounds.

•Oct 25, 2026•0 citations

Universal Information Processing

Masahito Hayashi

Springer eBooks•Oct 31, 2016•0 citations
The El-Rakhawi Verified Astro-Quantum Processing Framework (VAQPF) revolutionizes exascale astronomical data processing through four integrated pillars: (1) Neuro-Symbolic Astro-Filter with Bounded Formal Verification, mathematically guaranteeing signal validity within instrument noise uncertainty (Pvalid=Pneural(S∣D)×Vbounded(S,Φastro,Σnoise)P_{valid} = P_{neural}(S|D) \times V_{bounded}(S, \Phi_{astro}, \Sigma_{noise})Pvalid​=Pneural​(S∣D)×Vbounded​(S,Φastro​,Σnoise​)), reducing false positives to <0.1% while preserving >95% of novel discoveries; (2) Topological Quantum Graph Mapper achieving polynomial-time complexity O(poly(N)⋅log⁡(1/ϵ))O(poly(N) \cdot \log(1/\epsilon))O(poly(N)⋅log(1/ϵ)) specifically for bounded-degree structured astronomical datasets (cosmic web, N-body simulations), bypassing classical NP-hard bottlenecks; (3) Sovereign Federated Astro-Data Nodes utilizing Post-Quantum Cryptography and Incremental Verifiable Computation (IVC) with recursive zk-SNARKs, maintaining O(log⁡(Ndata))O(\log(N_{data}))O(log(Ndata​)) verification while managing prover complexity at O(Nbatch⋅log⁡(Nbatch))O(N_{batch} \cdot \log(N_{batch}))O(Nbatch​⋅log(Nbatch​)) to prevent exascale bottlenecks; (4) Cryogenic Photonic Data Ingestion handling Terahertz bandwidths with minimal thermal dissipation. Field projections demonstrate 48-hour classical processing reduced to 15 minutes for cosmic graph mapping (10^6 nodes), 90% false positive reduction versus deep learning, and bandwidth costs slashed from $2M/month to <$50K/month through federated architecture. Protected by 6 comprehensive PCT claims covering bounded verification, structured dataset quantum mapping, incremental zk-SNARK sovereign nodes, and photonic hardware, VAQPF transforms astroinformatics from probabilistic guesswork to mathematically guaranteed, sovereign, energy-efficient cosmic discovery, ensuring humanity's exploration of the universe is built on unassailable truth within measurable bounds.