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.
{"title":"The Prospects of Quantum Computing for Quantitative Finance and Beyond","authors":"Yen-Jui Chang, Ming-Fong Sie, Shih-Wei Liao, Ching-Ray Chang","doi":"10.1109/MNANO.2023.3249501","DOIUrl":"https://doi.org/10.1109/MNANO.2023.3249501","url":null,"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.","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":"17 1","pages":"31-37"},"PeriodicalIF":1.6,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47452882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-01DOI: 10.1109/MNANO.2023.3249499
Pei-Hua Wang, Jen-Hao Chen, Yu-Yuan Yang, Chien-shiun Lee, Y. Tseng
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.
{"title":"Recent Advances in Quantum Computing for Drug Discovery and Development","authors":"Pei-Hua Wang, Jen-Hao Chen, Yu-Yuan Yang, Chien-shiun Lee, Y. Tseng","doi":"10.1109/MNANO.2023.3249499","DOIUrl":"https://doi.org/10.1109/MNANO.2023.3249499","url":null,"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.","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":"17 1","pages":"26-30"},"PeriodicalIF":1.6,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43925261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-01DOI: 10.1109/MNANO.2023.3249519
Pei Yen Liao, Santos Jay Bhie, Chia-Ho Ou, Chih-Yu Chen, Ching-Ray Chang
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.
{"title":"Complete The Last Mile","authors":"Pei Yen Liao, Santos Jay Bhie, Chia-Ho Ou, Chih-Yu Chen, Ching-Ray Chang","doi":"10.1109/MNANO.2023.3249519","DOIUrl":"https://doi.org/10.1109/MNANO.2023.3249519","url":null,"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.","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":"17 1","pages":"9-14"},"PeriodicalIF":1.6,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42851016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-01DOI: 10.1109/mnano.2023.3250787
Ching-Ray Chang, Chao-Sung Lai
{"title":"The Applications of the Quantum Computer and the Exascale Computer [Commentary] [Commentary]","authors":"Ching-Ray Chang, Chao-Sung Lai","doi":"10.1109/mnano.2023.3250787","DOIUrl":"https://doi.org/10.1109/mnano.2023.3250787","url":null,"abstract":"","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46735052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-01DOI: 10.1109/MNANO.2023.3249500
Shu-Yu Kuo, Yu-Chi Jiang, Yao-Hsin Chou, Sy-Yen Kuo, S. Kung
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.
{"title":"Quantum Computer-Aided Design Automation","authors":"Shu-Yu Kuo, Yu-Chi Jiang, Yao-Hsin Chou, Sy-Yen Kuo, S. Kung","doi":"10.1109/MNANO.2023.3249500","DOIUrl":"https://doi.org/10.1109/MNANO.2023.3249500","url":null,"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.","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":" ","pages":"15-25"},"PeriodicalIF":1.6,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49396115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-01DOI: 10.1109/MNANO.2022.3228095
Deblina Sarkar
My research, which combines the interdisciplinary fields of engineering, applied-physics and biology, aims to develop novel energy-efficient nanoelectronic devices and merge them with biological systems for a new paradigm for life-machine symbiosis. My work involves development of ultra-scalable and low power electronic devices using novel nanomaterials and ingenious device physics that can help in sustaining the growth of Information Technology (IT). Moreover, they enable enormous savings in fuel used to power the IT industry, which will help with the reduction of greenhouse gasses (a major cause of global warming) and, thus, have an immense positive impact on our environment. In addition, such technology can transform bioelectronic interfaces. While my aims for short and middle terms are to develop such bioelectronic devices for probing/sensing and controlling/modulating (for therapeutics) for our body and brain, my long-term goal is to achieve seamless integration of inorganic-organic hybrid nanostructures into our biological systems to incorporate functionalities that are not otherwise enabled by biology, and, thus, help us transcend beyond our biological constraints.
{"title":"From Green Electronics to Gray Matter and Cyborg Cells","authors":"Deblina Sarkar","doi":"10.1109/MNANO.2022.3228095","DOIUrl":"https://doi.org/10.1109/MNANO.2022.3228095","url":null,"abstract":"My research, which combines the interdisciplinary fields of engineering, applied-physics and biology, aims to develop novel energy-efficient nanoelectronic devices and merge them with biological systems for a new paradigm for life-machine symbiosis. My work involves development of ultra-scalable and low power electronic devices using novel nanomaterials and ingenious device physics that can help in sustaining the growth of Information Technology (IT). Moreover, they enable enormous savings in fuel used to power the IT industry, which will help with the reduction of greenhouse gasses (a major cause of global warming) and, thus, have an immense positive impact on our environment. In addition, such technology can transform bioelectronic interfaces. While my aims for short and middle terms are to develop such bioelectronic devices for probing/sensing and controlling/modulating (for therapeutics) for our body and brain, my long-term goal is to achieve seamless integration of inorganic-organic hybrid nanostructures into our biological systems to incorporate functionalities that are not otherwise enabled by biology, and, thus, help us transcend beyond our biological constraints.","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":"17 1","pages":"22-25"},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44770362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-01DOI: 10.1109/MNANO.2022.3228150
Ying-Chieh Liu, Simon Peter Hughes, W. Chiou
Developments in quantum technology mean that an increasing number of people will require quantum literacy. This article discusses a proposed course at Chang Gung University, Taiwan, to develop quantum literacy through a STEAM (Science, Technology, Engineering, the Arts and Mathematics)-based educational approach with input from the works of ancient Chinese literatures known as Chinese classics by way of arts integration. The topics are discussed in a Q&A fashion. This article provides an opportunity for readers to reconsider the importance of quantum literacy and how it can best be delivered through effective learning contents and pedagogical approaches.
{"title":"A Conversation About Quantum Literacy [Quantum Literacy]","authors":"Ying-Chieh Liu, Simon Peter Hughes, W. Chiou","doi":"10.1109/MNANO.2022.3228150","DOIUrl":"https://doi.org/10.1109/MNANO.2022.3228150","url":null,"abstract":"Developments in quantum technology mean that an increasing number of people will require quantum literacy. This article discusses a proposed course at Chang Gung University, Taiwan, to develop quantum literacy through a STEAM (Science, Technology, Engineering, the Arts and Mathematics)-based educational approach with input from the works of ancient Chinese literatures known as Chinese classics by way of arts integration. The topics are discussed in a Q&A fashion. This article provides an opportunity for readers to reconsider the importance of quantum literacy and how it can best be delivered through effective learning contents and pedagogical approaches.","PeriodicalId":44724,"journal":{"name":"IEEE Nanotechnology Magazine","volume":"17 1","pages":"9-12"},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48629967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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