An alternative method of analysis of quantum decoherence / Brian Kenneth A. De Jesus, Henry N. Adorna.

By: De Jesus, Brian Kenneth A [author]
Contributor(s): Adorna, Henry N [author]
Copyright date: 2020Subject(s): Quantum computing | Computer algorithms In: Philippine Computing Journal vol. 15, no. 2: (Dec. 2020), pages 59-68.Summary: Quantum computing has gained great interest due to its speedup over classical computing. Classical Computing has been limited to it’s hardware as well as the algorithms it can utilize, whereas quantum computers take advantage of quantum properties of its corresponding physical implementations. This is not without some disadvantages, one of which we focus on which is quantum decoherence. Various models of decoherence were studied and one was selected that is most suitable for computational analysis. The paper presents three findings (1) An alternative method of analysis is proposed and compared to existing analysis. (2) A demonstration of the selected method on comparison of distributed vs. non-distributed quantum algorithms. (3) A comparison of two different algorithms on the same problem. From these it is demonstrated that quantum decoherence is a significant factor in the efficiency of quantum algorithms.
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Quantum computing has gained great interest due to its speedup over classical computing. Classical Computing has been limited to it’s hardware as well as the algorithms it can utilize, whereas quantum computers take advantage of quantum properties of its corresponding physical implementations. This is not without some disadvantages, one of which we focus on which is quantum decoherence. Various models of decoherence were studied and one was selected that is most suitable for computational analysis. The paper presents three findings (1) An alternative method of analysis is proposed and compared to existing analysis. (2) A demonstration of the selected method on comparison of distributed vs. non-distributed quantum algorithms. (3) A comparison of two
different algorithms on the same problem. From these it is demonstrated that quantum decoherence is a significant factor in the efficiency of quantum algorithms.

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