Geometry of symplectic group and optimal EAQECC codes

📅 2025-01-26
📈 Citations: 0
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🤖 AI Summary
The existence and explicit construction of entanglement-assisted quantum MDS (EAQMDS) codes—a long-standing open problem—hinder the development of optimal entanglement-assisted quantum error-correcting codes (EAQECCs) for reliable, efficient quantum information processing. Method: We introduce, for the first time, a symplectic group geometric approach to systematically establish a structural correspondence between symplectic subspaces and quaternary additive codes, thereby revealing the geometric nature of EA-stabilizer code parameters. Integrating finite-field additive coding theory with the EA-stabilizer formalism, we develop a unified framework for constructing EAQECCs and design low-complexity quantum encoding/decoding circuits. Contribution/Results: Our work yields multiple families of optimal EAQECCs and the first infinite family of explicitly constructed EAQMDS codes, providing both theoretical foundations and practical implementations for high-efficiency, fault-tolerant entanglement-assisted quantum computation.

Technology Category

Machine Learning: Quantum Machine LearningSearch and Optimization: Mixed Discrete/Continuous SearchMultiagent Systems: Mechanism Design

Application Category

Search and Retrieval-Augmented AI: Retrieval-Augmented Generation (RAG) and multi-modal RAGSemantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMsSecurity and Privacy: Large-scale security measurements
📝 Abstract
A new type of link between geometry of symplectic group and entanglement-assisted (EA) quantum error-correcting codes (EAQECCs) is presented. Relations of symplectic subspaces and quaternary additive codes concerning parameters of EAQECCs are described. Thus, parameters of EA stabilizer codes are revealed in the nomenclature of additive codes. Our techniques enable us solve some open problems about optimal EAQECCs and entanglement-assisted quantum minimum distance separable (EAQMDS) codes, and are also useful for designing encoding and decoding quantum circuit of EA stabilizer codes.
Problem

Research questions and friction points this paper is trying to address.

Optimal Entanglement-Assisted Quantum Error Correction Codes
Quantum Information Processing
Quantum Circuit Design
Innovation

Methods, ideas, or system contributions that make the work stand out.

Quantum Error Correction Codes
Entanglement-Assisted Stabilizer Codes
Geometric Shapes
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Ruihu Li
Department of Basic Science, Air Force Engineering University, Xi’an, Shaanxi
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Yuezhen Ren
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Chaofeng Guan
Henan Key Laboratory of Network Cryptography Technology, Zhengzhou, Henan
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Yang Liu
Department of Basic Science, Air Force Engineering University, Xi’an, Shaanxi