This invention describes a quantum computing system that uses a regular computer to set up problems for quantum calculations. It converts initial information into a special mathematical structure called a "sublattice of a projective Riemann-hypersphere," which represents the quantum bits. The system then finds a solution by repeatedly breaking down this structure using quantum calculations, and some versions also use "quantum chaos" and machine learning to help with these calculations.
Why it matters: Since 2019, the rapid advancements in machine learning (Claim 3) and the increasing accessibility of cloud-based quantum computing platforms (G06N10/80) have made the development and deployment of such complex quantum algorithms more practical. These changes could significantly enhance the feasibility of building the "quantum chaos knowledgebase" and executing the described quantum calculations.
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