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An Optimizing Method for Performance and Resource Utilization in Quantum Machine Learning Circuits
Quantum computing is a new and advanced topic that refers to calculations based on the principles of quantum mechanics. Itmakes certain kinds of problems be solved easier compared to classical computers. This advantage of ...
Are Brain-Computer Interfaces Feasible withIntegrated Photonic Chips?
The present paper examines the viability of a radically novel idea for brain-computer interface (BCI), which could lead to novel technological, experimental and clinical applications. BCIs are computer-based systems that ...
Quantum Face Recognition Protocol with Ghost Imaging
Face recognition is one of the most ubiquitous examples of pattern recognition in machine learning, with numerous applications in security, access control, and law enforcement, among many others. Pattern recognition with ...
Application of Quantum Natural Language Processing for Language Translation
In this paper, we develop compositional vector-based semantics of positive transitive sentences using quantum natural language processing (Q-NLP) to compare the parametrized quantum circuits of two synonymous simple sentences ...