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Computers, materials & continua/Computers, materials & continua (Print)

Controlling Remote Robots Based on Zidan’s Quantum Computing Model

Biswaranjan Panda, Nitin Kumar Tripathy, Shibashankar Sahu, Bikash K. Behera, Walaa E. Elhady

Published Jan 1, 2022• 6 citations
Publisher

Abstract

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.

DOI
10.32604/cmc.2022.028394

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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.
We describe a quantum teleportation protocol for exchanging data between a mobile robot and its control station. Because of the high cost of quantum network systems, we use MATLAB software to simulate the teleportation of data. Our simulation models the dynamic motion of a car-like mobile robot (CLMR), considering its mass and inertia and the environmental viscosity. Our remote control method accurately reproduces a mathematical model of the CLMR’s real-world motion. The CLMR’s trajectory is represented by differential equations, with the velocity calculated using the Jacobian matrix. The velocity inputs are teleported from the control station to the CLMR, enabling it to move. Nevertheless, physical constraints cause the deviation of the robot’s trajectory from the predicted trajectory. To correct this deviation, the CLMR’s current position is teleported to the control station. Before implementing this protocol, we calculate the quantum teleportation circuit, and we use quantum gates in matrix form to simulate the data teleportation process. The protocol’s accuracy is assessed by comparing the original data and teleported data, and a good match is obtained. This study demonstrates the feasibility of quantum teleportation for remotely controlling real-time robotic systems over long distances and in environments that interfere with classical wireless communication.
In the present work we propose a scheme to control the network of wheeled mobile robots using Quantum computing. This scheme provides a fast and efficient way to navigate a system of networked robots from one position to another using a PID Controllers. It is a well established fact that the robotic systems aredefined using Lagrangian dynamics and PID control is an efficient way to control the movement of robotic systems . In the present work we propose a framework to use Quantum Computers and Photic couplings among robots to form a consensus and move a the coupled robotic system from one place to another. We propose that all the computations must be carried out on quantum computers for efficient control and fast execution. We propose an algorithm that enables the proposed scheme. Numerical Simulations that show synchronized motion of coupled robots have been reported.
Quantum computing has garnered significant interest in robotics applications over the past few years. Demonstrating its superiority over traditional methods, it has shown many advantages in precision, rapid computation, and robustness for Manipulators and cell robots. In this paper, a remote control-based quantum computation tool is presented to ensure the trajectory tracking of a car-like mobile robot. In the proposed architecture, remote communication between the robot and the controller is achieved using quantum teleportation circuits. The controller is a classic PID controller, with its parameters optimized using a quantum-inspired particle swarm optimization (PSO) algorithm. The control scheme's performance is estimated using the root mean square error (RMSE), calculated from the tracking error, which is the difference between the reference position and the actual position of the robot. Simulation results show that the quantum-inspired PSO-based optimization of the PID controller yielded better performance in terms of prompt convergence and stability. Quantum teleportation also provided high accuracy when transferring control signals and measurement data. This work demonstrates that it is feasible to use quantum computing tools to enhance the real-time performance of long-distance, remotely controlled robotic systems, and that such telecontrol is inherently possible even at great distances or in hostile environments.
Distinguishing unknown non-orthogonal qubits is an essential requirement for addressing various challenges in quantum computation , including quantum machine learning, quantum communications , and quantum technologies . For instance, while quantum teleportation enables the transfer of unknown individual qubits between distant parties, an algorithm is necessary to define the associated state of a teleported qubit at the receiving end. In this paper, we propose a novel quantum algorithm designed to effectively determine the state of a given unknown qubit and distinguish a subset of non-orthogonal qubits. The proposed algorithm can efficiently identify the state of an unknown qubit in the form cos θ 2 | 0 〉 + sin θ 2 | 1 〉 using the M z operator. By estimating the angle θ through the measurement of entanglement degree, the proposed algorithm can identify the state of an unknown qubit. Experimental validation of the proposed algorithm is conducted using the IBM quantum computer simulator chip ibmqx2. Furthermore, a t-test is conducted to compare the proposed algorithm with the direct measurement approach. The results indicate a significant difference between the two methods, demonstrating the superior performance of the proposed algorithm.
Controlled quantum teleportation involves a third party as a controller for the teleportation of state. Here, we present the novel protocols for controlling teleportation of the arbitrary two-qubit and three-qubit states through five-qubit and seven-qubit cluster states respectively. In these schemes, Alice sends the arbitrary qubit states to the remote receiver Bob through the cluster states as quantum channels under the control of Charlie. Bob can recover the mentioned states by making appropriate unitary operations, and we point out that the efficiency in our schemes is 100%. In the process of our analysis, we find the classical communication cost in our protocols is remarkably reduced when compared to the previous protocols. We perform the experimental realization of the above protocols on "IBM 16 Melbourne" quantum computer and "IBM quantum simulator" and we calculate the fidelity. We also examine the security analysis against Charlie, and these schemes which we considered here are secure against Charlie's attacks.
This paper investigates the potential of quantum computing to revolutionize complex robotics, specifically focusing on optimization of robot control and movement. Traditional robotic control systems often struggle with complex environments and constraints, limiting the ability to achieve optimal performance. We propose a novel quantum algorithm designed to address these challenges by leveraging a dynamic, quantum-based simulation of the physical environment to generate constraints. This approach aims to enable robots to navigate and manipulate objects with unprecedented precision and adaptability. The core mechanism centers on utilizing a quantum solver to efficiently explore the search space of possible robot motions, guided by the simulation's feedback. This contrasts with traditional methods, which often struggle with the high dimensionality and complexity of robot dynamics. The research demonstrates the feasibility of this quantum-driven approach through simulations and preliminary experiments, showcasing potential improvements in robot control and movement.