This paper reviewed the history,research areas and development directions of quantum computation.And Emphasied quantum computation mechanism.Studied the research on known quantum computation algorithms.Summarized the integration model of quantum computation and classical intelligent computation.Presented the similarities and differences between quantum intelligent computation and classical intelligent computation.Based on the disadvantage of quantum computation,discussed the development directions.
This paper reviewed the history,research areas and development directions of quantum computation.And Emphasied quantum computation mechanism.Studied the research on known quantum computation algorithms.Summarized the integration model of quantum computation and classical intelligent computation.Presented the similarities and differences between quantum intelligent computation and classical intelligent computation.Based on the disadvantage of quantum computation,discussed the development directions.
With the decreasing development of the classical computation,quantum computation becomes the increasing hot topic recently.In this paper,the fundamental theory of quantum computation is briefly introduced firstly.Then,we give the state of the art of quantum computation and research principles in this field from two different research directions(quantum algorithms and quantum-inspired algorithms).At last,some trends of quantum computation in the future research are given.Through the review and prospect of the whole field,this paper could give a significant guide for the future development of quantum computation.
Quantum mechanism, which has received widespread attention, is in continuous evolution rapidly. The powerful computing power and high parallel ability of quantum mechanism equip the quantum field with broad application scenarios and brand-new vitality. Inspired by nature, intelligent algorithm has always been one of the research hotspots. It is a frontier interdisciplinary subject with a perfect integration of biology, mathematics and other disciplines. Naturally, the idea of combining quantum mechanism with intelligent algorithms will inject new vitality into artificial intelligence system. This paper lists major breakthroughs in the development of quantum domain firstly, then summarizes the existing quantum algorithms from two aspects: quantum optimization and quantum learning. After that, related concepts, main contents and research progresses of quantum optimization and quantum learning are introduced respectively. At last, experiments are conducted to prove that quantum intelligent algorithms have strong competitiveness compared with traditional intelligent algorithms and possess great potential by simulating quantum computing.
This paper aims to explore the application of quantum computing in the field of artificial intelligence (AI). The continuous development of AI technology has brought revolutionary changes to various industries, but traditional computers may encounter bottlenecks when facing complex problems. Quantum computing, as an emerging computing paradigm, has the potential to address complex issues. This paper first introduces the fundamentals of AI and quantum computing, then discusses the application cases of quantum computing in AI, including quantum neural networks, quantum optimization algorithms, and quantum reinforcement learning. It also analyzes the current technical challenges and solutions, and prospects the future development direction of quantum computing in the field of AI. Through research in this emerging field, we can better understand and utilize quantum computing technology to promote progress and innovation in the field of AI.
Quantum computer is a computational framework based on Quantum Mechanism, which is receiving more and more attentions during the last few decades. It has reached remarkable success on some specific tasks comparing with classical computers. In this paper, we summarize the latest progress of this area, including fundamental knowledge, varying state-of-the-art quantum algorithms and physical implementation of quantum computers. This paper discusses the reason of quantum computer's powerful computing ability — the correlation effect between quantum entangled states. Several possible schemes of quantum computer are introduced. It is pointed out that the research of quantum computer needs the combination of the most advanced micro physical technology and computer technology.
Quantum computing is an advanced computational paradigm that leverages principles of quantum mechanics, including superposition, entanglement, and interference, to process information more efficiently than classical systems [1][2]. Unlike classical bits, qubits can exist in multiple states simultaneously, enabling exponential computational capabilities for complex problem-solving. Since its theoretical foundations proposed by Richard Feynman and further developed by David Deutsch, quantum computing has progressed into an active research and industrial domain [2][3]. This paper presents an overview of the core concepts of quantum computation, technological evolution, and key algorithms such as Shor’s and Grover’s, which demonstrate significant computational advantages [9][10]. It also explores major application areas including cryptography, healthcare, artificial intelligence, and optimization, while addressing critical challenges such as decoherence, error correction, and scalability [5][6]. The study highlights future prospects, emphasizing the potential of quantum computing to transform scientific and industrial domains [12][15].
Quantum technology has recently emerged as a transformative computing paradigm. It is based on fundamental principles of quantum mechanics such as superposition, interference, and entanglement. This technology executes high computations that are impracticable by traditional computers. In recent years, developments in quantum technologies i.e algorithms, machine learning, cryptography, hardware design, and hybrid quantum classical frameworks have accelerated research and industrial interest. This paper provides a comprehensive review of quantum computing. It covers fundamental concepts, mathematical foundations, quantum algorithms, hardware platforms. It also focusses important applications, challenges, and emerging trends. The paper concludes with future research directions & the transformative potential of quantum technologies in computing, cryptography, optimization, and artificial intelligence.