View source for Bank of America Corporation (20240320530). QUANTUM METADATA LINEAGE TRACING USING QUANTUM MULTIPART ENTANGLED TWIN TECHNOLOGY simplified abstract

=QUANTUM METADATA LINEAGE TRACING USING QUANTUM MULTIPART ENTANGLED TWIN TECHNOLOGY=


==Organization Name==

[[:Category:Bank of America Corporation|Bank of America Corporation]]


[[Category:Bank of America Corporation]]

==Inventor(s)==

[[:Category:Sakshi Bakshi of New Delhi (IN)|Sakshi Bakshi of New Delhi (IN)]][[Category:Sakshi Bakshi of New Delhi (IN)]]

==QUANTUM METADATA LINEAGE TRACING USING QUANTUM MULTIPART ENTANGLED TWIN TECHNOLOGY - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240320530 titled 'QUANTUM METADATA LINEAGE TRACING USING QUANTUM MULTIPART ENTANGLED TWIN TECHNOLOGY

The patent application describes an apparatus for quantum data lineage tracing using a quantum multipart entangled twin.

* The apparatus includes an enterprise system, a quantum data lineage tracing system, and a quantum twinning simulation engine.
* The enterprise system consists of multiple subsystems, with one subsystem receiving data components.
* The tracing system extracts metadata, such as data component properties, from the data components and assigns each property to a qubit.
* Each qubit identifies the entry location of the associated data component.
* The simulation engine processes the qubits, entangles them with other qubits, and replicates a wave function for each qubit to trace changes made to the data components.

Potential Applications:
- Data security and integrity verification in quantum computing systems
- Tracking changes and modifications in large datasets
- Ensuring data provenance and authenticity in sensitive industries like finance and healthcare

Problems Solved:
- Ensuring the accuracy and reliability of data lineage in complex systems
- Providing a secure and tamper-proof method for tracing data changes
- Enhancing transparency and accountability in data management processes

Benefits:
- Improved data integrity and provenance tracking
- Enhanced security and trust in data handling processes
- Facilitation of compliance with regulatory requirements in data management

Commercial Applications:
Title: Quantum Data Lineage Tracing Apparatus for Enhanced Data Security
This technology can be utilized in industries such as finance, healthcare, and government agencies to ensure the integrity and authenticity of sensitive data. It can also be integrated into data management systems to enhance transparency and compliance with data regulations.

Questions about Quantum Data Lineage Tracing:
1. How does quantum entanglement enhance data lineage tracing compared to traditional methods?
2. What are the potential challenges in implementing this technology in real-world applications?

Frequently Updated Research:
Researchers are continually exploring new algorithms and methodologies to optimize quantum data lineage tracing processes and improve the efficiency of the simulation engine. Stay updated on the latest advancements in quantum computing and data security to leverage the full potential of this technology.


==Original Abstract Submitted==

apparatus for quantum data lineage tracing using a quantum multipart entangled twin is provided. the apparatus may include an enterprise system, a quantum data lineage tracing system and a quantum twinning simulation engine. the enterprise system may include a plurality of subsystems. a first subsystem may receive data components. the tracing system may extract metadata, including data component properties, from data components. the tracing system may assign each property to a qubit. each qubit may identify an entry location of the associated data component. the simulation engine may receive the qubits, process the qubits and entangle each qubit with one or more other qubits. the simulation engine may replicate a wave function for each qubit as the qubit is replicated to trace changes made to each data component as the data component is replicated. the simulation engine may use the replicated wave functions to identify changes made to data components.



[[Category:G06N10/20]]
[[Category:CPC_G06N10/20]]