Research progress in quantum key distribution

Zhang 张, Chun-Xue 春雪; Wu 吴, Dan 丹; Cui 崔, Peng-Wei 鹏伟; Ma 马, Jun-Chi 俊驰; Wang 王, Yue 玥; An 安, Jun-Ming 俊明

doi:10.1088/1674-1056/acfd16

Cited by 8 publications

(2 citation statements)

References 137 publications

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“…Nonetheless, multiple improvements can be made to increase the transmission rates of current optical QKD systems for practical, real-world applications. For instance, increasing the quantum efficiency of QKD systems by adopting advanced single-photon detectors with heightened sensitivity is a promising avenue [77,78]. This approach enhances the signal-to-noise ratio, facilitating faster key generation rates while upholding security protocols.…”

Section: Optical Neural Network For Machine Learningmentioning

confidence: 99%

Harnessing optical advantages in computing: a review of current and future trends

Kibebe,

Liu,

Tang

2024

Front. Phys.

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At the intersection of technological evolution and escalating computational demand, the role of optics is reemerging as a transformative force in the field of computing. This article examines the evolving landscape surrounding optical advantages in computing, focusing on current trends and prospects. Optical computing finds applications across various domains, such as parallel processing, high-speed signal processing, energy efficiency, quantum computing, machine learning, secure communication, and signal/image processing. This review synthesizes insights from scholarly articles, peer-reviewed journals, and academic papers to analyze the potential and challenges of leveraging optics for computational tasks. The literature review also critically examines the challenges of adopting optical computing solutions. The recommended multidimensional approach to overcoming adoption challenges involves holistically addressing integration challenges, manufacturing complexities, and infrastructure needs where collaboration will catapult optical computing into an era of computational power. Through a multidimensional exploration, this article provides a comprehensive understanding of the opportunities and challenges in harnessing optical advantages in computing, positioning optical computing as a revolutionary force with far-reaching consequences. Consequently, this review offers insight and guides researchers, industry professionals, and policymakers toward a computational future that maximizes the advantages of optical computing in specific and pivotal application areas, transcending existing boundaries.

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Section: Optical Neural Network For Machine Learningmentioning

confidence: 99%

Harnessing optical advantages in computing: a review of current and future trends

Kibebe,

Liu,

Tang

2024

Front. Phys.

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“…The security of QKD is based on the principles of quantum mechanics, making it resistant to eavesdropping attempts. One of the most notable features of quantum cryptography is its ability to detect eavesdropping attempts [9]. Due to the principles of quantum mechanics, any attempt to intercept or measure the quantum states being transmitted will inevitably disturb them, thus alerting the communicating parties to the presence of an intruder.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Healthcare Data Security Using Quantum Cryptography for Efficient and Robust Encryption

C. Bagath Basha

2024

jes

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Healthcare requires data encryption to safeguard sensitive patient information from unauthorized access or breaches. Encryption ensures that data is encoded into a secure format, making it unreadable to anyone without the decryption key. This helps maintain patient privacy, protects against identity theft, and ensures compliance with data protection regulations like HIPAA (Health Insurance Portability and Accountability Act.). With encryption, healthcare organizations can mitigate the risk of data breaches and uphold trust with patients by ensuring the confidentiality and integrity of their medical records and personal information. Quantum cryptography emerges as a revolutionary solution, offering unparalleled encryption for healthcare data. This process initiates with the meticulous crafting of quantum states to encapsulate healthcare data securely, ensuring precise encoding. Subsequently, quantum entanglement is established between sender and receiver, creating a secure communication channel resistant to interception attempts. Quantum key distribution then generates a secure key leveraging entangled quantum states, becoming the cornerstone of encryption. Quantum encryption shields healthcare data in an impenetrable veil of secrecy, leveraging the complexities of quantum mechanics to thwart unauthorized decryption attempts. The decryption process, facilitated by the shared secure key, unveils the encrypted healthcare data exclusively to authorized parties, preserving confidentiality with unparalleled precision. The result reveals quantum cryptography's superiority in healthcare data encryption. At 150-bit key length, quantum cryptography takes 352,237 milliseconds vs. AES's 310,285 milliseconds. For a 14 KB input, quantum cryptography requires 7 milliseconds compared to AES's 12 milliseconds. These metrics highlight quantum cryptography's efficiency gains and transformative potential in healthcare data security, promising both enhanced security and efficiency benefits.

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Reference-frame-independent quantum key distribution with two-way classical communication

Zhou 周,

Wang 汪,

Lu 陆

et al. 2024

Chinese Phys. B

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The data post-processing scheme based on two-way classical communication (TWCC) can improve the tolerable bit error rate and extend the maximal transmission distance when used in quantum key distribution (QKD) system. In this paper, we apply the TWCC method to improve the performance of reference-frame-independent quantum key distribution (RFI-QKD), and analyze the influence of the TWCC method on the performance of decoy-state RFI-QKD in both asymptotic and non-asymptotic cases. Our numerical simulation results show that the TWCC method is able to extend the maximal transmission distance from 175 km to 198 km and improve the tolerable bit error rate from 10.48% to 16.75%. At the same time, the performance of RFI-QKD in terms of the secret key rate and maximum transmission distance are still greatly improved when statistical fluctuations are considered. We conclude that RFI-QKD with the TWCC method is of practical interest.

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Research progress in quantum key distribution

Cited by 8 publications

References 137 publications

Harnessing optical advantages in computing: a review of current and future trends

Harnessing optical advantages in computing: a review of current and future trends

Enhancing Healthcare Data Security Using Quantum Cryptography for Efficient and Robust Encryption

Reference-frame-independent quantum key distribution with two-way classical communication

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