Quantum-State Encoding Optimization Algorithm Inspired by Post-Quantum Cryptography Article Swipe
With the rapid development of quantum computing technology, traditional optimization algorithms are prone to getting trapped in local optima when dealing with high-dimensional, multi-modal, and complex constrained problems, and traditional methods lack adaptability to the threats of quantum computing. This paper proposes a novel quantum-cryptographic-resistant optimization algorithm—the Quantum-State Encoding & LWE-Inspired Optimization Algorithm (QSEC-OA). This algorithm innovatively maps the search space to a high-dimensional lattice structure and introduces quantum state probability amplitude, a secret vector, and LWE-style noise perturbations for each candidate solution. Through a secret perturbation feedback mechanism and a global probability weighted update, the algorithm achieves efficient global search and dynamically adaptive local optimization. This paper details the mathematical model of the algorithm, including lattice mapping, quantum state encoding, LWE perturbation, secret vector feedback, quantum amplitude update, and the global weighted search formula. The algorithm fully embodies the mathematical characteristics of quantum-cryptographic resistance and provides a novel search strategy for complex optimization problems.
Related Topics
Concepts
Quantum computer
Global optimization
Algorithm
Encoding (memory)
Computer science
Optimization problem
Quantum
Quantum state
Quantum algorithm
Local optimum
Search algorithm
Optimization algorithm
Mathematics
Derivative-free optimization
Cryptography
Theoretical computer science
Meta-optimization
Mathematical optimization
Probability amplitude
Adaptability
State (computer science)
Quantum phase estimation algorithm
Algorithm design
Local search (optimization)
State vector
Metadata
- Type
- preprint
- Landing Page
- https://doi.org/10.5281/zenodo.17853110
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7111283577
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W7111283577Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5281/zenodo.17853110Digital Object Identifier
- Title
-
Quantum-State Encoding Optimization Algorithm Inspired by Post-Quantum CryptographyWork title
- Type
-
preprintOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-12-08Full publication date if available
- Authors
-
Zhang JinchengList of authors in order
- Landing page
-
https://doi.org/10.5281/zenodo.17853110Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.17853110Direct OA link when available
- Concepts
-
Quantum computer, Global optimization, Algorithm, Encoding (memory), Computer science, Optimization problem, Quantum, Quantum state, Quantum algorithm, Local optimum, Search algorithm, Optimization algorithm, Mathematics, Derivative-free optimization, Cryptography, Theoretical computer science, Meta-optimization, Mathematical optimization, Probability amplitude, Adaptability, State (computer science), Quantum phase estimation algorithm, Algorithm design, Local search (optimization), State vectorTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
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