Quantum Data Compression and Folding for Secure High-Speed Transfer
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Solution Overview
Problem
High frequency trading encounters difficulties in securely transmitting large volumes of data at high speeds due to inefficient data compression techniques, which can reduce storage space and compromise data security.
Innovation Solution
A system utilizing quantum computing for dynamic folding and compression of data, involving dataset similarity analysis, dynamic hash table creation, and encryption, to securely transfer and reduce data size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of stationary object
If traditional data compression techniques are used to reduce data size, then storage space is improved, but data security deteriorates
Solution Approach 1:
The patent applies quantum computing parameters and algorithms to transform traditional compression approaches. By using quantum linear algebra operations and quantum state representations, the system achieves compression while maintaining security through quantum mechanical properties rather than classical cryptographic methods.
Solution Approach 2:
The patent replaces classical mechanical/computational compression systems with quantum computing systems. Quantum algorithms substitute traditional compression algorithms, providing both compression capability and inherent security through quantum principles such as superposition and entanglement.
2Productivity
If data is transmitted at high speeds in high frequency trading, then productivity is improved, but data security deteriorates
Solution Approach 1:
The system changes the computational parameters by implementing quantum computing operations in the data transmission pipeline. Quantum algorithms process and encrypt data at speeds that can match or exceed traditional high-frequency trading requirements while providing superior security through quantum mechanical properties.
Solution Approach 2:
The patent substitutes quantum computing mechanisms for classical high-speed transmission systems. Quantum parallel processing and quantum communication protocols replace traditional fast transmission methods, achieving both high speed and enhanced security simultaneously.
3Device complexity
If traditional compression techniques are used, then device complexity is reduced, but productivity deteriorates
Solution Approach 1:
The patent replaces complex quantum computing hardware requirements with a software-based quantum algorithm implementation that can run on existing quantum computers or quantum simulators. This substitution maintains high processing efficiency while managing system complexity through abstraction layers.
Solution Approach 2:
The quantum computing system provides multiple functions including compression, encryption, and data processing within a single unified framework. This multi-functionality improves productivity without proportionally increasing device complexity, as the same quantum infrastructure serves multiple purposes.
Data Source
AI summary
Systems, computer program products, and methods are described herein for dynamic folding and compression of data using quantum computing. The present disclosure is configured to determine a list of similarities through a comparison of a dataset with a historical record associated with previous datasets; recreate, in response to the list of similarities of the dataset, the dataset through a process map table; compress the dataset based on similarities found in the historical record; determine a folding type for folding of the compressed dataset; and encrypting the folded and compressed dataset, the dynamic hash table, and the key value data pair through quantum computing utilizing linear compression.