Quantum Artificial Intelligence

Yingzhao Zhu, Kefeng Yu

Kathiravan Srinivasan, Varun Kesavan

The widespread use of artificial intelligence has positioned it at the pinnacle of the technical hierarchy. Nevertheless, artificial intelligence (AI) outperforms traditional computers in certain aspects. The potential for quantum processing to greatly augment the efficacy of machine learning and artificial intelligence has emerged as a result of technological progress. Subsequent investigations will be undertaken to examine the impact of quantum processing on artificial intelligence (AI) and its implications for many sectors and economic systems. This research investigates the impact of quantum computing on artificial intelligence (AI), the distinctions between quantum and conventional computing, and the many applications of quantum computing in the field of AI.

Vijayarangan Natarajan

Deepika Ghai, Suman Lata Tripathi, Ramandeep Sandhu +1 more

G. Ignisha Rajathi, L.R. Priya, A. Vegi Fernando +3 more

Quantum Artificial Intelligence (QAI) stands for the combination of the exercise of ‘quantum computing’ and ‘artificial intelligence’ that drives breakthrough transformation across various industries. In this paper, it is discussed on how QAI is bringing change across industries including pharmaceuticals, finance, weather prediction, supply chain, security, smart cities, agriculture, telecommunication, and education. With quantum mechanics conceptions, QAI enhance computation ability to address more data, and enhance the algorithms. Quantum technologies have potential for attachment to AI systems and make the previously unachievable innovations with the help of overgrowing the classical models. As a conclusion, this paper also discusses its result on the methodological difficulties and ethical issues of QAI, the need to build strategic partnerships and the need for well-regulated legislation. The results extend our understanding of QAI to apprehend the future of technology and its application for solving some of the greatest problems that the world faces today.

Sumin Wang, Ning Wang, Tongyu Ji +2 more

The rapid accumulation of big data in the Internet era has gradually decelerated the progress of Artificial Intelligence (AI). As Moore's Law approaches its limit, it is imperative to break the constraints that are holding back artificial intelligence. Quantum computing and artificial intelligence have been advancing along the highway of human civilization for many years, emerging as new engines driving economic and social development. This article delves into the integration of quantum computing and artificial intelligence in both research and application. It introduces the capabilities of both universal quantum computers and special-purpose quantum computers that leverage quantum effects. The discussion further explores how quantum computing enhances classical artificial intelligence from four perspectives: quantum supervised learning, quantum unsupervised learning, quantum reinforcement learning, and quantum deep learning. In an effort to address the limitations of smart cities, this article explores the formidable potential of quantum artificial intelligence in the realm of smart cities. It does so by examining aspects such as intelligent transportation, urban operation assurance, urban planning, and information communication, showcasing a plethora of practical achievements in the process. In the foreseeable future, Quantum Artificial Intelligence (QAI) is poised to bring about revolutionary development to smart cities. The urgency lies in developing quantum artificial intelligence algorithms that are compatible with quantum computers, constructing an efficient, stable, and adaptive hybrid computing architecture that integrates quantum and classical computing, preparing quantum data as needed, and advancing controllable qubit hardware equipment to meet actual demands. The ultimate goal is to shape the next generation of artificial intelligence that possesses common sense cognitive abilities, robustness, excellent generalization capabilities, and interpretability.