 Subjects -> ELECTRONICS (Total: 207 journals)
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- The Editors’ Desk [The Editor's Desk]
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Authors:
Bing Sheu;Shao-Ku Kao;
Pages: 2 - 2
Abstract: Quantum computing continues to attract great attention from the scientific community, in both academia and high-technology industry. Quite a few technical hurdles need to be cleverly addressed before quantum computers can be widely deployed. It is our great pleasure to introduce Prof. Ching-Ray Chang and Prof. Chao-Sung Lai as Guest Editors of this Special Issue of IEEE Nanotechnology Magazine.
PubDate:
April 2023
Issue No: Vol. 17, No. 2 (2023)
- The Applications of the Quantum Computer and the Exascale Computer
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Authors:
Ching-Ray Chang;Chao-Sung Lai;
Pages: 3 - 4
Abstract: Supercomputers are making rapid progress. For the world's fastest supercomputer “Frontier,” the computing speed has reached 10 trillion floating-point instruction cycles per second (1018, exaFLOPS), making many existing complex problems, including weather forecasting and disaster prevention, more accurate than ever. However, the calculation of real systems with a large number of electrons is still difficult. Exascale computers can simulate some systems with dual quantum states, but in the case of n dual quantum states, the exponential growth of 2n makes the calculation to simulate real system impossible. If we want to understand the dynamic quantum state evolution of a real matter, it is even more difficult to track the dynamics of “every possible” configuration of a huge number of 2n quantum states. If n is 20, it will take about 128 KB of memory to store with the current computer's memory, which can be done by ordinary computers. When there are hundreds of electrons, the memory required to store this system exceeds the number of particles in the entire universe. Unfortunately, almost all materials and drugs have at least hundreds of electrons, which means that direct use of Exascale computers to develop and design any new drugs and materials also becomes impossible. At the same time, after the popularization of artificial intelligence and deep learning, it is also found that the computing power, bandwidth, and memory space of classical computers are not enough, while quantum computing has at least the following three advantages and has the opportunity to provide solutions for complex systems.
PubDate:
April 2023
Issue No: Vol. 17, No. 2 (2023)
- Tap. Connect. Network. Share.
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Pages: 4 - 4
PubDate:
April 2023
Issue No: Vol. 17, No. 2 (2023)
- Perspectives on III-V Semiconductor Nanowire Optoelectronics and Beyond
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Authors:
Lan Fu;Chennupati Jagadish;
Pages: 5 - 7
Abstract: PROFESSOR Chennupati Jagadish (see Figure 1) is a Distinguished Professor at the Department of Electronic Materials Engineering, Research School of Physics, the Australian National University (ANU). He is also currently the President of the Australian Academy of Science.
PubDate:
April 2023
Issue No: Vol. 17, No. 2 (2023)
- Share Your Preprint Research with the World!
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Pages: 8 - 8
PubDate:
April 2023
Issue No: Vol. 17, No. 2 (2023)
- Complete The Last Mile
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Authors:
Pei Yen Liao;Santos Jay Bhie;Chia-Ho Ou;Chih-Yu Chen;Ching-Ray Chang;
Pages: 9 - 14
Abstract: In social networks, delivery-related concerns are perennially significant and challenging. Another noteworthy and captivating development is the development of quantum computing or quantum-inspired computing. Combining these two fields is not only timely but natural and necessary in the current environment of data explosion. The current strengths and challenges of quantum computing were put together in addressing delivery problems as an example and provide a collection and analysis of existing approaches to last-mile delivery. The purpose of this paper is to help people to understand how to use quantum computing to quickly solve delivery problems and find the potential niche market in highly competitive big data environments.
PubDate:
April 2023
Issue No: Vol. 17, No. 2 (2023)
- Quantum Computer-Aided Design Automation
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Authors:
Shu-Yu Kuo;Yu-Chi Jiang;Yao-Hsin Chou;Sy-Yen Kuo;Sun-Yuan Kung;
Pages: 15 - 25
Abstract: Quantum computing is an essential issue for taking advantage of quantum properties in real-world applications. Realizing quantum computing with a corresponding quantum circuit is a critical step. This study introduces the AngelQ system, which provides quantum computing-as-a-service (QCaaS) for the cloud. The AngelQ system integrates quantum design automation (QDA) to achieve quantum and reversible circuit synthesis by a quantum-inspired optimization (QiO) technique and has visualization software interfaces to verify the QiO process and the correctness of the synthesized quantum and reversible circuits. First, the proposed novel QiO method has four significant features: Adaptive strategy, quantum-Not gate, update mechanism by Global solutions, and Entanglement Local search, named Angel QiO. which is a flexible technique to realize various circuits under different gate libraries with a few alterations. Angel QiO can construct diversified function-equivalent circuits to assess the circuit composition and boost the development of circuit synthesis. Second, researchers can observe the QiO algorithm process and inspect the intermediate result formula through AngelQ system's visualization interface to further adjust the parameters and improve the performance. Moreover, it benefits beginners’ learning and adds convenience to education. In summary, the AngelQ system can extend and facilitate the future design and automation of quantum computing.
PubDate:
April 2023
Issue No: Vol. 17, No. 2 (2023)
- Recent Advances in Quantum Computing for Drug Discovery and Development
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Authors:
Pei-Hua Wang;Jen-Hao Chen;Yu-Yuan Yang;Chien Lee;Yufeng Jane Tseng;
Pages: 26 - 30
Abstract: Drug discovery and development is a time-consuming and cost-intensive process. Computer-aided drug design can speed up the timeline and reduce costs by decreasing the number of necessary biochemical experiments. The number of studies using quantum computing to solve problems in drug development has been increasing in recent years. In this review, we briefly introduce the main steps in drug discovery and development and how computers help to find potential drug candidates. Recent studies of quantum computing in drug development based on the structure of target proteins are listed chronologically. They include protein structure prediction, molecular docking, quantum simulation, and quantitative structure-activity relationship (QSAR) models. Current quantum devices are still susceptible to noise and error but are well suited for hybrid quantum-classical algorithms. The quantum advantage is demonstrated on hybrid systems and quantum-inspired devices such as quantum annealers. We hope to see more applications of quantum computing in the field of drug discovery and development.
PubDate:
April 2023
Issue No: Vol. 17, No. 2 (2023)
- The Prospects of Quantum Computing for Quantitative Finance and Beyond
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Authors:
Yen-Jui Chang;Ming-Fong Sie;Shih-Wei Liao;Ching-Ray Chang;
Pages: 31 - 37
Abstract: Quantum computation holds the promise of highly efficient algorithms, provides exponential speedups for specific technologically significant problems, plays the most promising role in quantum technological progress, and has transformative potential in numerous industry sectors. In quantum computing, finance is recognized as one of the most beneficial areas because of the potential for many financial cases that can be solved by quantum algorithms suitable for noisy-intermedia-scale quantum(NISQ) computers. The benefits of quantum computing are colossal time and computational memory reduction with which the computational tasks are performed, which leads to the accuracy of the computations. This paper presents a comprehensive summary of quantum computing for traditional and Blockchain financial applications.
PubDate:
April 2023
Issue No: Vol. 17, No. 2 (2023)
- The Prospects of Quantum Secure Communication for Secret Sharing
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Authors:
Yao-Hsin Chou;Kuo-Chun Tseng;Shu-Yu Kuo;Sy-Yen Kuo;Bing Sheu;
Pages: 38 - 44
Abstract: Quantum computing and secure communication have gained considerable interest in recent years, as quantum computing has a potent ability to accelerate certain complex problems, such as factoring problems and discrete logarithms, which are important foundations of traditional computer security. With the rapid development of quantum computers, some secure communication protocols based on certain mathematical problems will face a significant danger, and quantum properties can be used to construct quantum secure communication and quantum cryptography that can achieve unconditional security. Among many topics of quantum cryptography, quantum secret sharing (QSS) is an important and challenging issue that provides scenarios to store highly sensitive, important, and confidential information. In this article, we systematically illustrate the development of QSS and how it operates, as well as its challenging issues and future directions.
PubDate:
April 2023
Issue No: Vol. 17, No. 2 (2023)
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