ABSTRACT Quantum computing and quantum computers have attracted much attention from both the academic community and industry in recent years. By exploiting the quantum properties of materials, scientists are aiming to overcome Moore's law of miniaturization and develop novel quantum computers. The concept of quantum computing was first introduced by the distinguished physicist Richard Feynman in 1981. As one of the early pioneers in this field, Turing Award laureate Andrew Chi-Chih Yao made a seminal contribution in developing the theoretical basis for quantum computation in 1993. Since 2011, he has served as the founding director of Tsinghua University's Center for Quantum Information (CQI), which aims to become a world-class research center for quantum computing. In a recent interview with NSR, Yao recounted the history of quantum computing and expressed his view on the future of this field. He suggests that quantum computers could excel in many tasks such as the design of new materials and drugs as well as in the simulation of chemical reactions, but they may not supersede traditional computers in tasks for which traditional computers are already proven to be highly efficient.
ABSTRACT Quantum computing and quantum computers have attracted much attention from both the academic community and industry in recent years. By exploiting the quantum properties of materials, scientists are aiming to overcome Moore's law of miniaturization and develop novel quantum computers. The concept of quantum computing was first introduced by the distinguished physicist Richard Feynman in 1981. As one of the early pioneers in this field, Turing Award laureate Andrew Chi-Chih Yao made a seminal contribution in developing the theoretical basis for quantum computation in 1993. Since 2011, he has served as the founding director of Tsinghua University's Center for Quantum Information (CQI), which aims to become a world-class research center for quantum computing. In a recent interview with NSR, Yao recounted the history of quantum computing and expressed his view on the future of this field. He suggests that quantum computers could excel in many tasks such as the design of new materials and drugs as well as in the simulation of chemical reactions, but they may not supersede traditional computers in tasks for which traditional computers are already proven to be highly efficient.
Abstract For many decades since its inception in the early twentieth century, quantum mechanics seemed to be an exotic and peculiarly non-intuitive kind of physics that applied to matter at the smallest scales: the laws that govern atoms, photons and subatomic particles. All our engineering, meanwhile, was dominated by the familiar rules of classical physics, in which objects have definite positions, trajectories and properties. But, in the past several decades, scientists have started to harness quantum rules in practical technologies. In 1985, the physicist Richard Feynman suggested that computers governed by quantum rules might be capable of computations beyond the means of classical ones like those in use today. At much the same time, other researchers showed that information encoded in quantum states could be transmitted between a sender and receiver using a kind of encryption that could not be intercepted and read without that being detected. Quantum computers and quantum cryptography have now become central components of a real-world quantum-information technology that may soon find scientific, industrial and social uses. These applications could be increasingly enabled by a global information network with quantum capability: a quantum internet. China is at the forefront of that enterprise, and one of the scientific leaders in this effort is Jian-Wei Pan of the University of Science and Technology of China in Hefei. Pan studied for his PhD with quantum-information pioneer Anton Zeilinger in Vienna before returning to China to implement these nascent technologies. In 2012, he won the International Quantum Communication Award and, in 2017, he was included in Nature’s annual list of the ‘ten people who mattered in science’ over the past year. That July, he and his colleagues reported ‘quantum teleportation’ of photons from a ground-based station to a satellite 1400 km away. NSR recently interviewed Professor Pan about the current achievements and future prospects for quantum-information technologies.
Quantum computing leverages the principles of quantum mechanics to address intricate problems that traditional computers find challenging. Operating on qubits, quantum computers execute multidimensional quantum algorithms, offering a unique perspective compared to traditional computing concepts. Positioned as the future of computing technology, quantum computing finds applications in diverse fields, including cryptography, material science, agriculture, and computer science. Despite promising progress, the field faces challenges in achieving quantum supremacy over conventional computers. This paper explores key quantum computing concepts, such as qubits and their characteristics, along with applications, while also delving into future advancements and the expansive scope of quantum technology. In essence, quantum computing represents the future of technology, harnessing quantum phenomena like superposition and entanglement for computational tasks.
Quantum computing represents a paradigm shift in computation, leveraging the principles of quantum mechanics to solve problems deemed intractable for classical computers. This paper traces the evolution of quantum computing from theoretical foundations to recent technological milestones. It highlights key developments such as quantum algorithms, error correction, and qubit technologies. The paper also examines quantum supremacy, current quantum hardware implementations, and the potential disruption in cryptography, materials science, and artificial intelligence. Despite significant challenges in stability, scalability, and noise, quantum computing is on a trajectory to redefine computational boundaries. Future research directions and policy implications are also discussed.
2025 is the year UNESCO selected to celebrate 100 years of this novel science, quantum mechanics, based on Heisenberg’s “uncertainty principle” discovery. However, quantum mechanics began with the discovery of quantum packets of energy emission formulated by the German physicist Max Planck, and it incorporated additional discoveries and principles from Albert Einstein, Niels Bohr, Heisenberg, Pauli, de Broglie, and many others in the early 1900s. Since then, many advancements and breakthroughs have been made. Such scientific contributions have influenced the culture and technology of humanity from the 20th century onwards, with the first quantum revolutions bringing innovations in technology and engineering, including the omnipresent light amplification by stimulated emission of radiation (Laser), magnetic resonance imaging (MRI), microprocessor manufacturing and design for computers and nuclear energy. Thus, at the beginning of the Second Quantum Revolution in the 21st century, amid a new wave of novel quantum technologies promising to create the 5th Industrial Revolution and transform humanity, a brief history of these marvellous sciences is condensed, connecting the wonders of the new quantum technogenesis that is being forged, linking its past with classical mechanics and also with novel relativistic mechanics. Understanding these developments highlights the significance of quantum technologies shaping our future and what lies ahead for us. This article explores technologies that are presently under research and development (R&D) in the quantum physics realm, including quantum computing, quantum cryptography, quantum sensing and metrology, and quantum simulation. It also discusses emerging careers in the quantum field and the unresolved mysteries that continue to challenge scientists. The discussion follows the ancient griot tradition of storytelling, a method that the distinguished physicist, great professor, and Nobel laureate Richard Feynman encouraged us to use to explain complex scientific ideas.
The field of quantum computing has rapidly evolved in an interdisciplinary approach, calling for significant attention from academia and industry alike in recent years. This interest is largely due to the fact that quantum computers utilize the principles of quantum mechanics to compute and manipulate information, which offers capabilities and speeds (for specific, particularly complicated) computations that are beyond the capabilities of traditional computers. While the potential of quantum computing offers much promise, it has not yet been fully explored within the health care sector; the field remains in its early stages of development. This work investigates the impact of quantum computing on modern health care systems by focusing specifically on its transformative potential in performing computationally- intensive tasks such as drug discovery, precision and personalized medicine, DNA sequencing strategies, high-definition medical imaging, and managing health care operations more efficiently. In addition, this survey presents an all-encompassing view of how quantum computing will be used in healthcare and will serve as an excellent resource. The survey intends to promote greater insight into the state of the current research landscape while identifying critical opportunities and deficiencies that impact future decisions regarding the development of nextgeneration quantum-enabled healthcare solutions.
This paper presents an extensive exploration of quantum computing as an emerging paradigm that operates on the principles of quantum mechanics to process information in ways unattainable by classical systems. It traces the evolution of quantum theory from its early conceptual foundations to its present-day technological applications, highlighting key milestones such as the development of qubits, quantum gates, and essential algorithms including Shor’s and Grover’s. The study examines the fundamental mechanisms of quantum superposition and entanglement, alongside the hardware and software innovations driving scalability and performance. By analysing experimental progress, programming models, and comparative advantages over classical and cloud computing, this paper underscores how quantum computing can transform industries such as data security, medicine, and artificial intelligence. Furthermore, it outlines future prospects involving error correction, neuromorphic integration, and commercialization trends that are shaping the next generation of computational technology.