Quantum Search and DNA Storage for Faster, Denser UBO Retrieval
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Solution Overview
Problem
Current search and storage methods for determining ultimate beneficial owner (UBO) information are inefficient in terms of search speed and data density.
Innovation Solution
A system utilizing quantum computing to enhance search speed through quantum parallelization and DNA storage to increase data density by encoding search results in DNA strands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If current search methods are used to search unstructured data, then the search process can be completed, but the search speed is insufficient
Solution Approach 1:
The patent replaces classical mechanical search systems with quantum computing systems that utilize quantum parallelization. The quantum processor executes quantum search algorithms that can evaluate multiple data paths simultaneously, achieving exponential speedup over traditional sequential or parallel classical search methods for unstructured data.
2Quantity of substance
If current storage methods are used to store search results, then data can be stored, but the data density is insufficient
Solution Approach 1:
The patent fundamentally changes the physical parameter of data storage by transitioning from classical digital storage to biological DNA storage. Data is encoded into DNA sequences using quaternary encoding schemes, allowing extremely high data density where petabytes of information can be stored in milligrams of DNA material.
3Productivity
If quantum computing is used to improve search speed, then search performance increases, but system complexity increases
Solution Approach 1:
The patent introduces converter systems as intermediary components that bridge classical and quantum domains. These converters handle data encoding/decoding and interface between classical processors and quantum processors, managing the complexity of quantum operations while presenting simplified interfaces to users and classical systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system achieves faster search processes and higher data density by leveraging quantum parallelization and DNA storage, improving the efficiency of UBO information retrieval.
Implementation Method 1
By using the quantum processor, a speed of the search process is increased due to quantum parallelization
Implementation Method 2
By storing the search results in DNA strands, a data density of the storage system is improved
Data Source
AI summary
A system and method for data processing and storage using quantum and deoxyribonucleic acid (DNA) computing. The method includes receiving a request for a search data item. The request includes a first information represented by classical binary bits. The request is converted into a converted request. The converted request includes the first information represented by quantum bits. One or more servers are searched based on the converted request using a quantum search algorithm. Search results are generated. The search results are ranked according to ranking rules. A highest-ranked result includes a second information represented by quantum bits. The highest-ranked result is converted to a converted highest-ranked result. The converted highest-ranked result includes the second information represented by DNA bits. The converted highest-ranked result is encrypted to generate an encrypted and converted highest-ranked result. The encrypted and converted highest-ranked result is stored in one or more DNA strands.