Quantum Privacy Computation Algorithm Based on Quantum Coherence

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper proposes a novel quantum privacy computation algorithm leveraging the principles of quantum coherence. The core claim is to design an algorithm capable of safeguarding data privacy within quantum computing environments. The central mechanism employs the phenomenon of quantum coherence to minimize the impact of sensitive data during computation, while simultaneously ensuring the accuracy of the resulting output. Unlike existing privacy-preserving techniques that rely on classical computation, this approach addresses the unique challenges presented by quantum computing. The algorithm focuses on strategically manipulating quantum states to obscure intermediate results and prevent adversaries from reconstructing the original data. Mathematical formulations are presented to illustrate the key components of the algorithm, including state preparation, quantum operations, and measurement procedures. The theoretical analysis demonstrates the effectiveness of the proposed method in achieving privacy protection. This work represents a significant step towards practical quantum privacy computation.

DOI: 10.5281/zenodo.22221371

Related papers

Quantum Privacy Computation Protocol Based on Quantum Coherence

Jincheng Zhang

This paper proposes a novel privacy computation protocol leveraging the principles of quantum coherence and decoherence. The core concept involves constructing a "black box" mechanism utilizing quantum states to interfere with the computation process, effectively masking the original data while guaranteeing the accuracy of the resulting output. Unlike existing approaches such as differential privacy and homomorphic encryption, this protocol harnesses quantum effects to provide enhanced privacy protection. We define the protocol as follows: Let *S1*, *S2*, ..., *SK* represent the shares of *K* parties. The protocol aims to compute a function *f* on these shares. The function *f* is implemented through a series of quantum gates, where each gate operates on the combined quantum state of all shares. Decoherence is induced by carefully designed interactions, specifically utilizing quantum measurement operators that introduce probabilistic errors. The probability of successfully executing the quantum computation is dependent on the strength and duration of the decoherence process. The resulting output, *O*, is obtained through a final quantum measurement. The key innovation lies in the dynamic adjustment of decoherence parameters, allowing for a tunable trade-off between privacy and computation accuracy. Further, we explore the mathematical foundations of this protocol, providing a formal description of the underlying quantum operations and the decoherence model. This work contributes a fundamental understanding of leveraging quantum decoherence for privacy-preserving computation and opens avenues for future research in quantum-enhanced security.

Aug 31, 20260 citations

Quantum Privacy via Entanglement Decoherence

Jincheng Zhang

This paper investigates the utilization of entanglement decoherence as a novel privacy-preserving mechanism within quantum computation. The core concept hinges on strategically introducing controlled decoherence into quantum calculations, thereby mitigating the risk of information leakage and facilitating secure quantum processing. Traditional approaches to quantum privacy often rely on complex cryptographic protocols, which can introduce significant overhead and limitations. This research proposes a fundamentally different method leveraging the inherent properties of entanglement and its susceptibility to decoherence. Specifically, we explore techniques for introducing precisely calibrated decoherence effects to obscure the intermediate quantum states, effectively limiting the information accessible to potential eavesdroppers. The theoretical framework presented outlines the key mathematical relationships and operational considerations for achieving this goal, focusing on the probabilistic reduction of information leakage. The proposed model offers a potentially more efficient and scalable approach to quantum privacy, addressing some of the challenges associated with existing solutions. We define key parameters such as decoherence rate (Γ), initial entanglement fidelity (F₀), and the degree of controlled decoherence (δ) to quantify the effectiveness of the privacy protection. The work culminates in a discussion of the trade-offs between privacy and computational utility, highlighting the need for careful parameter optimization.

Sep 3, 20260 citations

Quantum Key Distribution Based Privacy Computation Protocol

Jincheng Zhang

This paper presents a novel privacy computation protocol leveraging Quantum Key Distribution (QKD) for enhanced data privacy. The core idea is to utilize the principles of QKD to generate a shared secret key, which is then employed to perform computations on encrypted data, ensuring the confidentiality of the results. This approach addresses the fundamental challenge of traditional computation, where data is vulnerable to interception and manipulation during processing. The protocol details the key management process, the encryption/decryption scheme based on QKD, and the computation steps undertaken using the shared key. The proposed system offers a significant advancement in privacy-preserving computation, particularly in scenarios where data sensitivity is paramount. The design focuses on minimizing the computational overhead associated with QKD while maximizing the level of privacy protection. This work lays the groundwork for future research and development in privacy-preserving quantum computing and communication.

Aug 31, 20260 citations

Quantum Privacy Preservation Communication Protocol Based on Quantum Coherence Collapse

Jincheng Zhang

This paper proposes a novel quantum communication protocol designed for privacy preservation, leveraging the phenomenon of quantum coherence collapse. The core idea is to utilize quantum key distribution (QKD) protocols and strategically introduce coherence collapse operations during transmission, effectively hindering an eavesdropper's ability to access the key. Unlike existing QKD protocols that predominantly rely on quantum entanglement, this approach exploits the unique characteristics of quantum coherence collapse. We outline the protocol's architecture, detailing the key steps involved in key generation and distribution, focusing on the precise implementation of the coherence collapse mechanism. The protocol's security analysis demonstrates its potential to provide robust privacy protection against various eavesdropping attacks. Mathematical formulations are presented to rigorously describe the protocol's operations and security properties. The primary goal is to present a fundamentally different approach to quantum privacy preservation, offering a potentially more secure and efficient solution compared to entanglement-based QKD.

Sep 3, 20260 citations

Quantum Coherence-Based Optimization of Privacy-Preserving Computation Algorithms

Jincheng Zhang

This paper explores the potential of leveraging quantum coherence properties to optimize privacy-preserving computation algorithms. The core claim is that by utilizing quantum coherence-based techniques, we can reduce computational complexity and enhance privacy protection levels. Specifically, we propose a novel algorithm preprocessing method based on quantum decoherence, designed to mitigate decoherence effects during computation. This approach aims to significantly lower computational overhead while maintaining strong privacy guarantees. The theoretical framework presented demonstrates the feasibility of this strategy and outlines a pathway for developing more efficient and robust privacy-preserving solutions. The focus remains on the algorithmic design and analysis, without the need for experimental validation. ---

Sep 3, 20260 citations

Privacy-Preserving Computation Protocols Based on Quantum Coherence Degradation

Jincheng Zhang

This paper investigates the potential of leveraging quantum coherence degradation for designing more secure privacy-preserving computation protocols. The core concept hinges on manipulating the rate of quantum decoherence to safeguard user data during quantum computation, thereby mitigating the risks of eavesdropping and attacks. We explore theoretical frameworks and propose protocol designs that explicitly incorporate and control decoherence, offering a novel approach to quantum privacy. The primary contribution lies in demonstrating how controlled decoherence can be a robust mechanism for data protection in quantum settings, providing a foundation for future research and development in this area. The proposed protocols aim to achieve a balance between computational efficiency and privacy preservation, a critical challenge in the field of quantum privacy. Further investigation and optimization are needed to translate these theoretical concepts into practical implementations.

Sep 1, 20260 citations