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Controlling Remote Robots Based on Zidan’s Quantum Computing Model

Biswaranjan Panda1, Nitin Kumar Tripathy1, Shibashankar Sahu1, Bikash K. Behera2, Walaa E. Elhady3,*

1 Indian Institute of Science Education and Research, Berhampur, 760005, India
2 Bikash’s Quantum (OPC) Private Limited, Balindi, Mohanpur, 741246, West Bengal, India
3 Faculty of Computers and Information Technology, The National Egyptian E-Learning University, Cairo, Egypt

* Corresponding Author: Walaa E. Elhady. Email:

Computers, Materials & Continua 2022, 73(3), 6225-6236.


In this paper, we propose a novel algorithm based on Zidan’s quantum computing model for remotely controlling the direction of a quantum-controlled mobile robot equipped with n-movements. The proposed algorithm is based on the measurement of concurrence value for the different movements of the robot. Consider a faraway robot that moves in the deep space (e.g., moves toward a galaxy), and it is required to control the direction of this robot from a ground station by some person Alice. She sends an unknown qubit α |0⟩ + β |1⟩ via the teleportation protocol to the robot. Then, the proposed algorithm decodes the received unknown qubit into an angle θ, that determines the motion direction of the robot, based on the concurrence value. The proposed algorithm has been tested for four and eight movements. Two simulators have been tested; IBM Quantum composer and IBM’s system, The two simulators achieved the same result approximately. The motion of any part of the robot is considered, if it has a pre-existing sensor system and a locomotive system,. We can use this technique in many places like in space robots (16 directions). The results show that the proposed technique can be easily used for a huge number of movements. However, increasing the number of movements of the robot will increase the number of qubits.


Cite This Article

B. Panda, N. K. Tripathy, S. Sahu, B. K. Behera and W. E. Elhady, "Controlling remote robots based on zidan’s quantum computing model," Computers, Materials & Continua, vol. 73, no.3, pp. 6225–6236, 2022.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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