A Survey of Important Issues in Quantum Computing and Communications

Yang, Zebo; Zolanvari, Maede; Jain, Raj

doi:10.1109/comst.2023.3254481

Cited by 74 publications

(28 citation statements)

References 234 publications

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“…Quantum random walk Quantum random walk utilizes the superposition state and entanglement effect of qubits to generate keys, ensuring that the key generation process is random and unpredictable [22]. It plays an important role in quantum search algorithms, the design of quantum algorithms, and the theory of quantum computing complexity [23]. The probability of a quantum random walk is depicted in figure 1.…”

Section: Related Workmentioning

confidence: 99%

Color image encryption algorithm based on quantum random walk and multiple reset scrambling*

Mou,

Dong

2024

Phys. Scr.

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In order to solve the problems of privacy leakage, data string modification and attack threats in the field of image encryption information security, and at the same time ensure the security, integrity and reliability of image data. In this paper, we introduce a novel hybrid color image encryption scheme that increases the complexity of the key space and provides better data integrity protection by combining quantum random walk and SHA-256 algorithm. At the same time, the three chaotic systems are combined and multiple XOR operations are introduced to effectively scramble the space and pixel levels of the color image. Through a large number of simulation experiments and security analysis, the results show that the scheme has efficient encryption performance, excellent ability to resist attacks and excellent privacy protection ability.

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Section: Related Workmentioning

confidence: 99%

Color image encryption algorithm based on quantum random walk and multiple reset scrambling*

Mou,

Dong

2024

Phys. Scr.

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“…The race for quantum technology is advancing rapidly in both academia and industry. Various companies and research groups are focused on the ambitious goal of building quantum computers that can significantly enhance computational power [26]. Currently, different types of quantum computers are being developed, each with its peculiarities regarding development and manufacturing.…”

Section: Quantum Computersmentioning

confidence: 99%

Quantum Random Number Generation using Quandela Photonic Quantum Computer

de Souza,

Agostini,

Tarelho

2024

Preprint

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Quantum mechanics, characterized by its intrinsically probabilistic nature, offers a promising avenue for random number generation, which is essential for applications such as cryptography and computational simulations. With the recent advancements in quantum computing and simulation, numerous studies have emerged utilizing these methods for the generation of random numbers. This research delves into the exploration of random number generation utilizing the Ascella photonic quantum computer developed by Quandela, renowned for its implementation of single-photon-based qubits. Leveraging both the Ascella photonic simulator (SIM Ascella) and the quantum processing unit (QPU Ascella) within the Perceval framework, this investigation examines the capability to generate random sequences through the superposition of quantum states, generated using photons and beam splitters. The analysis includes a performance comparison between simulations and experimental tests with the quantum computer, subjecting the outcomes to the NIST SP 800-22 randomness tests. While initial simulations suggested a high degree of randomness, practical implementation revealed certain disparities attributed to factors such as decoherence, imperfections in beam splitters and single-photon sources, as well as quantum noise. This study contributes to the understanding of random number generation on quantum platforms, identifying challenges and limitations while providing strategies for future enhancements in this quantum technology.

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“…Quantum cloud computing clients then need to communicate with the cloud via a quantum link for transferring their tasks and associated qubits. Initial efforts have already been made in this direction 132 …”

Section: Future Research Directions For Next‐generation Iot/fog Compu...mentioning

confidence: 99%

“…Initial efforts have already been made in this direction. 132 With fog computing perceived as cloud in proximity, will the quantum cloud computing have any repercussions on edge/fog computing? Future work should already start exploring the opportunities it is going to offer.…”

Section: Quantum Cloud Computing and Its Repercussions On Edge/fogmentioning

confidence: 99%

A decade of research in fog computing: Relevance, challenges, and future directions

Srirama

2023

Softw Pract Exp

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Recent developments in the Internet of Things (IoT) and real‐time applications, have led to the unprecedented growth in the connected devices and their generated data. Traditionally, this sensor data is transferred and processed at the cloud, and the control signals are sent back to the relevant actuators, as part of the IoT applications. This cloud‐centric IoT model, resulted in increased latencies and network load, and compromised privacy. To address these problems, Fog Computing was coined by Cisco in 2012, a decade ago, which utilizes proximal computational resources for processing the sensor data. Ever since its proposal, fog computing has attracted significant attention and the research fraternity focused at addressing different challenges such as fog frameworks, simulators, resource management, placement strategies, quality of service aspects, fog economics and so forth. However, after a decade of research, we still do not see large‐scale deployments of public/private fog networks, which can be utilized in realizing interesting IoT applications. In the literature, we only see pilot case studies and small‐scale testbeds, and utilization of simulators for demonstrating scale of the specified models addressing the respective technical challenges. There are several reasons for this, and most importantly, fog computing did not present a clear business case for the companies and participating individuals yet. This article summarizes the technical, non‐functional, and economic challenges, which have been posing hurdles in adopting fog computing, by consolidating them across different clusters. The article also summarizes the relevant academic and industrial contributions in addressing these challenges and provides future research directions in realizing real‐time fog computing applications, also considering the emerging trends such as federated learning and quantum computing.

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A Survey of Important Issues in Quantum Computing and Communications

Cited by 74 publications

References 234 publications

Color image encryption algorithm based on quantum random walk and multiple reset scrambling*

Color image encryption algorithm based on quantum random walk and multiple reset scrambling*

Quantum Random Number Generation using Quandela Photonic Quantum Computer

A decade of research in fog computing: Relevance, challenges, and future directions

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