Topological Quantum Synthesis: Resolving Cryptographic Vulnerabilities and the Emergence of Post-Machine Learning AI via Majorana Hardware
Year: 2026
Type: article
Abstract: This paper explores the convergence of post-quantum cryp-tography and topological quantum computing. Grounded in the founda-tional de Broglie wave-particle duality and Borneas space-time tensorformulations, we analyze the structural vulnerability of early asymmet-ric encryptions, specifically targeting legacy distributed ledger walletarchitectures. We model how the 22,000 independent address clustersof the Satoshi Nakamoto entity function as a spatial deterrent againstShor’s algorithm. Furthermore, we examine the deployment of Microsoft’sMajorana 2 architecture within nested dilution refrigerators, illustratinghow error-free topological braiding accelerates Quantum AdiabaticComputation. We conclude by formalizing the transition from sequentialgradient descent to instantaneous Quantum Synthesis, marking theparadigm shift beyond traditional machine learning.
Author: Magureanu, Mircea
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7166322746