AR Reasoning and Quantum Memory Algorithm
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| Title: | AR Reasoning and Quantum Memory Algorithm |
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| Authors: | Martinez, Renee, Anonemis Research, LLC |
| Contributors: | Martinez, Renee Simenona, Anonemis Research, LLC |
| Publisher Information: | Anonemis Research, LLC |
| Publication Year: | 2019 |
| Collection: | Zenodo |
| Subject Terms: | quantum computing, algorithm framework, quantum memory, data verification, parallel processing |
| Description: | This framework for an AR Reasoning and Quantum Memory Algorithm designed to enhance quantum computing applications through advanced data processing and verification systems. The proposed algorithm integrates quantum triplication methods, parallel processing structures, and cognitive operation systems to improve computational accuracy and reliability. The framework incorporates multiple specialized libraries, quantum memory systems, and automated reasoning capabilities to support complex research calculations and data verification processes. Key components include quantum sequence triplication with operation supremacy, parallel algorithm infrastructure with real-time verification, and quarantined storage systems for hypothesis management. This theoretical model aims to address fundamental challenges in quantum computing reliability while providing a comprehensive approach to data-driven research applications. |
| Document Type: | text |
| Language: | unknown |
| Relation: | https://zenodo.org/records/15626974; oai:zenodo.org:15626974; https://doi.org/10.5281/zenodo.15626974 |
| DOI: | 10.5281/zenodo.15626974 |
| Availability: | https://doi.org/10.5281/zenodo.15626974 https://zenodo.org/records/15626974 |
| Rights: | Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode ; 2009 |
| Accession Number: | edsbas.C9EB2603 |
| Database: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | This framework for an AR Reasoning and Quantum Memory Algorithm designed to enhance quantum computing applications through advanced data processing and verification systems. The proposed algorithm integrates quantum triplication methods, parallel processing structures, and cognitive operation systems to improve computational accuracy and reliability. The framework incorporates multiple specialized libraries, quantum memory systems, and automated reasoning capabilities to support complex research calculations and data verification processes. Key components include quantum sequence triplication with operation supremacy, parallel algorithm infrastructure with real-time verification, and quarantined storage systems for hypothesis management. This theoretical model aims to address fundamental challenges in quantum computing reliability while providing a comprehensive approach to data-driven research applications. |
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| DOI: | 10.5281/zenodo.15626974 |