Abstract:For the generation of a secret key, hardly a quantum algorithms integrating states and bits have yet developed. Integrating random states and bits is difficult for a combiner component. The underlying problems of the study are the design of a quantum circuit, an algorithm, state polarization setup, and the concatenation of bits and states. By combining either rectilinear, orthogonal (superposition), or both states with bits, we have investigated three different possibilities for the quantum hybrid protocol. We… Show more
“…To address that challenge, further research is needed to investigate the potential of hybrid quantum algorithms for data fitting, for instance, in [39], [40], [129], [145]. "Hybrid" encoding patterns aim to leverage the advantages of the best appropriate approaches and enhance the representation and manipulation of classical data in quantum states.…”
Section: Challenges and Future Research Prospectsmentioning
The existing body of research on quantum embedding techniques is not only confined in scope but also lacks a comprehensive understanding of the intricacies of the quantum embedding process. To address this critical issue, this article explores quantum encoding schemes, uncovering valuable insights into their encoding algorithms from theoretical foundations to a mathematical perspective, as well as practical applications. Initially, the article briefly overviews classical computing and the limitations associated with classical bits in representing and processing complex information. Next, the article scrutinizes a variety of quantum embedding patterns, including basis encoding, amplitude encoding, Qsample encoding, angle encoding, quantum associative memory encoding, quantum random access memory, superdense encoding, Hamiltonian encoding, and others. In addition, each technique is accompanied by mathematical formulas and examples illustrating how each strategy can be applied. Finally, the article provides a comparative analysis of different quantum embedding/encoding methods, outlining their strengths and limitations. Overall, this insightful article highlights the potential of quantum encoding techniques for efficient information processing beyond classical bits, thereby facilitating scientists and design engineers in selecting the most appropriate encoding technique to develop smart algorithms for revolutionizing the field of quantum computing.INDEX TERMS Encoding patterns, qubits, quantum computing, quantum information processing, quantum circuits.
“…To address that challenge, further research is needed to investigate the potential of hybrid quantum algorithms for data fitting, for instance, in [39], [40], [129], [145]. "Hybrid" encoding patterns aim to leverage the advantages of the best appropriate approaches and enhance the representation and manipulation of classical data in quantum states.…”
Section: Challenges and Future Research Prospectsmentioning
The existing body of research on quantum embedding techniques is not only confined in scope but also lacks a comprehensive understanding of the intricacies of the quantum embedding process. To address this critical issue, this article explores quantum encoding schemes, uncovering valuable insights into their encoding algorithms from theoretical foundations to a mathematical perspective, as well as practical applications. Initially, the article briefly overviews classical computing and the limitations associated with classical bits in representing and processing complex information. Next, the article scrutinizes a variety of quantum embedding patterns, including basis encoding, amplitude encoding, Qsample encoding, angle encoding, quantum associative memory encoding, quantum random access memory, superdense encoding, Hamiltonian encoding, and others. In addition, each technique is accompanied by mathematical formulas and examples illustrating how each strategy can be applied. Finally, the article provides a comparative analysis of different quantum embedding/encoding methods, outlining their strengths and limitations. Overall, this insightful article highlights the potential of quantum encoding techniques for efficient information processing beyond classical bits, thereby facilitating scientists and design engineers in selecting the most appropriate encoding technique to develop smart algorithms for revolutionizing the field of quantum computing.INDEX TERMS Encoding patterns, qubits, quantum computing, quantum information processing, quantum circuits.
“…A small structure known as a footer or trailer may occur at the end of the frame, which typically only contains information for error-checking. Control information is always included in the header since it is the first component of a packet or frame that a networking device, such as a switch or router [24][25].…”
This research focuses on enhancing secure quantum communication in multi-subnetwork environments, specifically focusing on vulnerabilities associated with quantum key distribution (QKD) protocols. The study uses an in-depth analysis of the decoy state strategy within the QKD protocol, quantifying security parameters and proposing dynamic recalibration strategies based on quantum channel parameters. Sensitivity analyses are used to assess the impact of variations in attenuation coefficient, detector efficiency, and the fraction of rounds with eavesdropping attempts. A dynamic adaptation mechanism is introduced to optimize the choice between entangled and decoy states over time. The research reveals modest disclosures into the vulnerabilities of quantum communication channels and offers dynamic recalibration strategies to ensure ongoing security against quantum threats. Quantitative metrics, such as the quantum key rate (QKR) and information leakage (SKR), are presented, providing a comparative analysis between entangled and decoy states. The findings highlight the efficacy of the proposed multi-subnetwork QKD protocol in mitigating external threats and adapting to evolving quantum environments. The research contributes to the field by providing a comprehensive understanding of security parameters influencing QKD protocols and paving the way for improved quantum communication protocols with applications in secure information transfer.
“…[11][12][13][14] Other QKD methods include the B92, SARG04, and six-state protocols, which aim to securely distribute keys based on quantum principles. [11,[15][16][17][18][19][20] However, QKD protocols are vulnerable to side-channel attacks, requiring techniques like digital signatures for mitigation. Understanding these protocols helps in exploring advancements that enhance security, improve key rates, and overcome implementation challenges.…”
The research paper introduces a novel approach to multi‐party quantum key distribution using variational quantum eigensolvers (VQEs). The protocol aims to establish secure communication among multiple parties in a quantum network. The paper outlines a comprehensive framework incorporating quantum state preparation, VQE‐based key generation, error correction, and privacy amplification circuits. Mathematical formulations guide the design of quantum gates, variational parameters, and error correction codes. The protocol utilizes quantum entanglement, VQE optimization, and classical operations for error correction and secure key extraction. The paper's experimental focus involves implementing the proposed protocol on a quantum computer, analyzing security metrics such as mutual information and min‐entropy, and simulating circuit outcomes.
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