Quantum Intelligent Mobile System

Abstract

A brand-new paradigm of intelligent systems–quantum intelligent mobile system–is proposed through the fusion of quantum technology with mobile system. A quantum intelligent mobile system (QIMS) is essentially a complex quantum-classical hybrid autonomous system which generally consists of four fundamental components: quantum information processing units (QIPU), multi-sensor system, controller/actuator, and quantum/classical information convertors. A hybrid architecture based on multi-quantum-agent system is proposed for specific requirements of this intelligent mobile system, and a multi-sensor system is designed with SQUID sensor and quantum well Hall sensor, where quantum sensors coexist with traditional sensors. According to the requirements of certain tasks and hardware performance, Grover algorithm is presented for searching problem in path planning, and the theoretic result shows that it can reduce the problem complexity of O(N) in traditional intelligent mobile system to O(N). Then a novel quantum reinforcement learning (QRL) algorithm is proposed for the quantum intelligent mobile system and a learning example demonstrates the validity and superiority of QRL. This quantum intelligent mobile system has many potential applications in various areas and also offers a platform for the research on quantum or quantum-inspired technologies.