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Seth Aishwarya¹, Vaishnav Abeer^1,*, Babu B. Sathish¹, K. N. Subramanya²
Journal of Quantum Computing, Vol.2, No.4, pp. 157-170, 2020, DOI:10.32604/jqc.2020.015018 - 07 January 2021
Abstract The utilization of quantum states for the representation of information and the advances in machine learning is considered as an efficient way of modeling the working of complex systems. The states of mind or judgment outcomes are highly complex phenomena that happen inside the human body. Decoding these states is significant for improving the quality of technology and providing an impetus to scientific research aimed at understanding the functioning of the human mind. One of the key advantages of quantum wave-functions over conventional classical models is the existence of configurable hidden variables, which provide… More >

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Dandan Peng, Le Sun^*
Journal of Quantum Computing, Vol.2, No.4, pp. 171-179, 2020, DOI:10.32604/jqc.2020.015402 - 07 January 2021
Abstract The purpose of this work aims is to automatically build top-k (the number of suggested results) light weight service based systems (LitSBSs) on the basis of user-given keywords. Compared with our previous work, we use a score (oscore) to evaluate the keyword matching degree and QoS performance of a service so that we could find top-k LitSBSs with both high keyword matching degree and great QoS performance at the same time. In addition, to guarantee the quality of found top-k LitSBSs and improve the time efficiency, we redesign the database-driven algorithm (LitDB). We add the More >

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Saptarshi Sahoo^1,*, Amit Kumar Mandal¹, Pijus Kanti Samanta², Indranil Basu¹, Pratik Roy¹
Journal of Quantum Computing, Vol.2, No.4, pp. 181-192, 2020, DOI:10.32604/jqc.2020.015688 - 07 January 2021
Abstract Quantum Computing and Quantum Information Science seem very promising and developing rapidly since its inception in early 1980s by Paul Benioff with the proposal of quantum mechanical model of the Turing machine and later By Richard Feynman and Yuri Manin for the proposal of a quantum computers for simulating various problems that classical computer could not. Quantum computers have a computational advantage for some problems, over classical computers and most applications are trying to use an efficient combination of classical and quantum computers like Shor’s factoring algorithm. Other areas that are expected to be benefitted More >

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Rizwan Munir^1,*, Yifei Wei¹, Rahim Ullah², Iftikhar Hussain³, Kaleem Arshid⁴, Umair Tariq¹
Journal of Quantum Computing, Vol.2, No.4, pp. 193-202, 2020, DOI:10.32604/jqc.2020.016151 - 07 January 2021
Abstract A smart grid is the evolved form of the power grid with the integration of sensing, communication, computing, monitoring, and control technologies. These technologies make the power grid reliable, efficient, and economical. However, the smartness boosts the volume of data in the smart grid. To obligate full benefits, big data has attractive techniques to process and analyze smart grid data. This paper presents and simulates a framework to make sure the use of big data computing technique in the smart grid. The offered framework comprises of the following four layers: (i) Data source layer, (ii) More >

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