Quantum Computing Environments
Editat de Sitharama S. Iyengar, Mario Mastriani, KJ Latesh Kumaren Limba Engleză Paperback – 27 mai 2023
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Specificații
ISBN-13: 9783030897482
ISBN-10: 3030897486
Ilustrații: XVII, 210 p. 10 illus., 6 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030897486
Ilustrații: XVII, 210 p. 10 illus., 6 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
1. Quantum Information Processing.- 2.Quantum Compiling.- 3.Quantum Internet.- 4.Quantum Radar & Lidar.- 5.Quantum Finance.- 6.Future perspectives of Quantum Applications using AI.
Notă biografică
S.S. Iyengar is currently the Distinguished University Professor, Founding Director of the Discovery Lab and Director of the US Army funded Center of Excellence in Digital Forensics at Florida International University, Miami. He has been involved with research and education in high-performance intelligent systems, Data Science and Machine Learning Algorithms, Sensor Fusion, Data Mining, and Intelligent Systems. Since receiving his Ph.D. degree in 1974 from MSU, USA, he has directed over 65 Ph.D. students, 100 Master’s students, and many undergraduate students who are now faculty at Major Universities worldwide or Scientists or Engineers at National Labs/Industries around the world. He has published more than 600 research papers, has authored/co- authored and edited 26 books. His h-index is 63 with over 19000 citations and is among the list of top 2% cited scholars of Stanford study this year.
His books are published by MIT Press, John Wiley and Sons, CRC Press, Prentice Hall, Springer Verlag, IEEE Computer Society Press, etc. One of his books titled "Introduction to Parallel Algorithms" has been translated into Chinese. During the last thirty years Dr. Iyengar has brought in over 65 million dollars for research and education. . In the recent he has received $2.25 Million (USD) funding from the United States Army Research Office to develop a Center of Excellence in Digital Forensics in collaboration with HBCU institutions. This is considered to be one of the biggest achievement his in whole FIU, many such grants are in the past. He has providing the students and faculty with a vision for active learning and collaboration at Jackson State University, Louisiana State University, Florida International University, and across the world. Dr. Iyengar’s career is a distinguished one,marked by his incredible record of success in groundbreaking research, inspirational teaching and excellence in community service. It is his consistent drive to fight for and promote the minority and underrepresented groups which is his passion.
Through his national and international contributions, he has consistently provided opportunities for minority students and underrepresented groups to participate in his research endeavors, and to develop local, state, and national programs to promote minority and underrepresented groups in computer science and STEM education programs. He has developed enormously successful models and programs that have been replicated in universities around the world. Through NSF, he developed a comprehensive network of computer education, and coordinated computer science workshops and short courses which introduced computer science to over 5,000 minority students and assisted minority faculty in advancing educational concepts and research. In his most current initiatives in providing computer science advising and student tutors, he has been able to significantly increase retention rates at his University in STEM areas.
Dr. Iyengar has also provided outreach to industry and to a variety of groups in the local high school community. Industry affiliations have resulted in internships with multiple Fortune 500 companies for his students. Informally, as well as formally through his NSF sponsored Research Experience for Teachers, he has worked with local science teachers in high school and middle schools to open up many of his labs for weekend work and interaction with the students to participate with undergraduate students in areas such as computer hardware, cyber security and robotics. He has invited and sponsored the Girls Who Code organization to provide summer seminars for local high schoolwomen—a tremendous success in preparing and recruiting high school women for STEM careers.
His research has been funded by National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Multi-University Research Initiative (MURI Program), Office of Naval Research (ONR), Department of Energy / Oak Ridge National Laboratory (DOE/ORNL), Naval Research Laboratory (NRL), National Aeronautics and Space Administration (NASA), US Army Research Office (URO), and various state agencies and companies. He has served on US National Science Foundation and National Institute of Health Panels to review proposals in various aspects of Computational Science and has been involved as an external evaluator (ABET-accreditation) for several Computer Science and Engineering.
Departments across the country and the world. Dr. Iyengar has also served as a research proposal evaluator for the National Academy.His books are published by MIT Press, John Wiley and Sons, CRC Press, Prentice Hall, Springer Verlag, IEEE Computer Society Press, etc. One of his books titled "Introduction to Parallel Algorithms" has been translated into Chinese. During the last thirty years Dr. Iyengar has brought in over 65 million dollars for research and education. . In the recent he has received $2.25 Million (USD) funding from the United States Army Research Office to develop a Center of Excellence in Digital Forensics in collaboration with HBCU institutions. This is considered to be one of the biggest achievement his in whole FIU, many such grants are in the past. He has providing the students and faculty with a vision for active learning and collaboration at Jackson State University, Louisiana State University, Florida International University, and across the world. Dr. Iyengar’s career is a distinguished one,marked by his incredible record of success in groundbreaking research, inspirational teaching and excellence in community service. It is his consistent drive to fight for and promote the minority and underrepresented groups which is his passion.
Through his national and international contributions, he has consistently provided opportunities for minority students and underrepresented groups to participate in his research endeavors, and to develop local, state, and national programs to promote minority and underrepresented groups in computer science and STEM education programs. He has developed enormously successful models and programs that have been replicated in universities around the world. Through NSF, he developed a comprehensive network of computer education, and coordinated computer science workshops and short courses which introduced computer science to over 5,000 minority students and assisted minority faculty in advancing educational concepts and research. In his most current initiatives in providing computer science advising and student tutors, he has been able to significantly increase retention rates at his University in STEM areas.
Dr. Iyengar has also provided outreach to industry and to a variety of groups in the local high school community. Industry affiliations have resulted in internships with multiple Fortune 500 companies for his students. Informally, as well as formally through his NSF sponsored Research Experience for Teachers, he has worked with local science teachers in high school and middle schools to open up many of his labs for weekend work and interaction with the students to participate with undergraduate students in areas such as computer hardware, cyber security and robotics. He has invited and sponsored the Girls Who Code organization to provide summer seminars for local high schoolwomen—a tremendous success in preparing and recruiting high school women for STEM careers.
His research has been funded by National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Multi-University Research Initiative (MURI Program), Office of Naval Research (ONR), Department of Energy / Oak Ridge National Laboratory (DOE/ORNL), Naval Research Laboratory (NRL), National Aeronautics and Space Administration (NASA), US Army Research Office (URO), and various state agencies and companies. He has served on US National Science Foundation and National Institute of Health Panels to review proposals in various aspects of Computational Science and has been involved as an external evaluator (ABET-accreditation) for several Computer Science and Engineering.
Dr. Iyengar, a computer scientist of international repute, is a pioneer in the field and has made fundamental contributions in the areas of information processing for sensor fusion networks, robotics and high- performance algorithms, all relevant to critical event detection systems as seen in following:
Co-inventor of the Brooks–Iyengar algorithm for noise tolerant distributed control which bridges the gap between sensor fusion and Byzantine fault tolerance, providing an optimal solution to the fault-event disambiguation problem in sensor-networks (1996)
Co-inventor of a novel, paradigm shifting method for grid coverage of surveillance and target location in distributed sensor networks (2002)
Provided seminal work for automated analyses and interpretation of satellite imagery of the ocean and other unknown terrain (1994)
Co-invented the Cognitive Information Processing Shell, a complex event processing architecture and engine which recognizes and responds to complex patterns in mission critical, real-time applications (2010)
Solved an open problem in graph recognition, laying foundation for fast parallel computing for large scale data sets (1988)
The impact of his research contributions can be seen in places like Raytheon, Telecordia, Motorola, the United States Navy, DARPA agencies, etc.
Dr. Iyengar is a Member of the European Academy of Sciences, a Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the Association of Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Science (AAAS), a Fellow of the Society for Design and Process Science (SDPS), and a Fellow of the American Institute for Medical and Biological Engineering (AIMBE). He has received various national and international awards including the outstanding Test of Time Research (for his seminal work which has impacted billions of computer and internet users worldwide) and Scholarly Contribution Award from 2019 IEEE Congress on Cybermatics, the Times Network NRI (Non-Resident Indian) of the Year Award for 2017, most distinguished Ramamoorthy Award at the Society for Design and Process Science (SDPS 2017), the National Academy of Inventors Fellow Award in 2013, and the NRI Mahatma Gandhi Pradvasi Medal at the House of Lords in London in 2013 among others. He was awarded Satish Dhawan Chaired Professorship at IISc, then Roy Paul Daniel Professorship at LSU. He has received the Distinguished Alumnus Award of the Indian Institute of Science. In 1998, he was awarded the IEEE Computer Society’s Technical Achievement Award and is an IEEE Golden Core Member. Professor Iyengar is an IEEE Distinguished Visitor, SIAM Distinguished Lecturer, and ACM National Lecturer. In 2006, his paper entitled, A Fast-Parallel Thinning Algorithm for the Binary Image Skeletonization, was the most frequently read article in the month of January in the International Journal of High-Performance Computing Applications. His innovative work called the Brooks-Iyengar algorithm along with Professor Richard Brooks from Clemson University is applied in industries to solve real-world applications. Dr. Iyengar’s work had a big impact; in 1988, when he and his colleagues discovered "NC algorithms for Recognizing Chordal Graphs and K-trees" [IEEE Trans. on Computers 1988]. This breakthrough result led to the extension of designing fast parallel algorithms by researchers like
J. Naor (Stanford), M. Naor (Berkeley), and A. A. Schaffer (AT&T Bell Labs). Professor Iyengar earned his undergraduate and graduate degrees at UVCE-Bangalore and the Indian Institute of Science, Bangalore and a doctoral degree from Mississippi State University.
Dr. Iyengar has been a Visiting Professor or Scientist at Oak Ridge National Laboratory, Jet Propulsion Laboratory, Naval Research Laboratory, and has been awarded the Satish Dhawan Visiting Chaired Professorship at the Indian Institute of Science, the Homi Bhaba Visiting Chaired Professor (IGCAR), and a professorship at the University of Paris-Sorbonne.
Mario Mastriani received the degree of Electronics Engineering: Automatic Control in 1989, the Ph.D. degree of Electronics Engineering: Despeckling of Satellite SAR images in 2006, the Ph.D. degree of Computer Sciences: Image Compression in 2009, the Ph.D. degree ofSciences and Technology: Video Compression in 2011, the Ph.D. degree of Informatics Sciences: Quantum Computing in 2014, and the Postdoc of Computer Sciences: Quantum Computing in 2016. He was/is a reviewer of the following IEEE's journals: T. on Neural Networks, Signal Processing Letters, T. on Image Processing, T. on Signal Processing, T. on Medical Imaging, T. on Geoscience and Remote Sensing, Geoscience and Remote Sensing Letters, T. on Biomedical Engineering, Communications Letters, T. on Fuzzy Systems, T. on Multimedia, T. on Nanobioscience, T. on Instrumentation and Measurement, T. on Systems, Man, and Cybernetics: Systems, and T. on Circuits and Systems for Video Technology. Besides, he is a reviewer of Springer-Nature: Journal of Digital Imaging, and Springer-Nature: Quantum Information Processing, Elsevier: Information Fusion; SPIE: Journal of Optical Engineering, SPIE: Journal of Electronic Imaging; Taylor & Francis: International Journal of Remote Sensing, Taylor &Francis: Remote Sensing Letters, Taylor & Francis: International Journal of Computers and Applications; IET: Electronics Letters, IET: Software; Latin American Applied Research Journal; Wiley: International Journal of Circuits Theory and Applications; Editorial Science (South Africa): Journal of Mathematics and Computer Science Research; ACM Computing Surveys; Editorial Old City Publishing (USA): International Journal of Unconventional Computing; MDPI (Switzerland): Entropy, MDPI (Switzerland): Sensors, MDPI (Switzerland): Mathematical and Computational Applications; and World Scientific (Singapore): Modern Physics Letters B. He was a reviewer of 3 books for zbMATH of Cambridge University Press. He has received scholarships for all his postgraduate studies, even for the Postgraduate Course of Nuclear Engineering awarded by the National Commission of Atomic Energy. He is an author of four books and a co-author of the other two books. He has three patents. He is an author of more than one hundred scientific articles. He was a professor of twelve universities in three countries. He was a research advisor in several Ph.D. theses. He has worked for several government agencies in the area of SAR imaging, as well as, multi and hyperspectral imagery. He also worked in medical images in numerous institutions in the country and abroad. He was a Senior Research Associate in Superresolution of Multispectral Imagery in Satellogic. He is co-founder of five startups in Quantum Technology, all in the USA. He currently serves as Chief Scientific Officer of Qubit Reset Labs, an American startup at Aventura, Florida. His current interest is Quantum Communications (Entanglement, Teleportation, QKD, Quantum Internet), and Quantum Signal and Image Processing
KJ Latesh Kumar is a Courtesy Postdoctoral Fellow, Researcher and the School of Computing and Information Sciences, Quantum Information Group, Florida international University. He has published papers including Bidirectional teleportation for underwater quantum Communications. Quantum Information Processing, Springer Science+ Business Media, LLC part of Springer Nature 2021; Satellite quantum communication protocol regardless of the weather”. Optical and Quantum Electronics, Springer Science+ Business Media, LLC part of Springer Nature 2021; Brooks-Iyengar and Random Forest Classifier method: by Predicting Cyber Threats from: Darkweb/Deepweb Data" International Journal of Next-Generation Computing. Study and Evaluation of Test of Times Brooks-Iyengar Algorithm" International Journal of Next-Generation Computing. His awards include: Best Research Paper, Planet Science Research Centre, Indonesia – Aug 2016; Customer Excellency Solution– Hewlett Packard, USA – Apr 2008.
Textul de pe ultima copertă
This book explains the evolution of techniques and strategies in quantum computing, discussing the digital transition towards the quantum computing application in various sectors. The book provides a comprehensive insight into the quantum mechanics and quantum computing techniques and tools and how they have evolved and the impacted in supporting and flourishing business during the quantum computing era. This book includes chapters that discuss the most primitive quantum schemes to the most recent use of Internet, finance and radar technology, thus leveraging greater use of new technologies like security and Internet and others. The content is relevant for an audience that is involved in the research and development of advanced quantum systems. It gives the industry, researchers, and students interested in learning the various quantum computing sectors with the necessary information and tools that can be used to research, design and develop advanced quantum computing systems and techniques.
Caracteristici
Provides a fundamental view of the evolution of quantum computing and how various quantum mechanics are used in different security and Internet applications Highlights the need for a paradigm shift in tackling quantum techniques and proposes a novel quantum computer science system to address it Covers the various quantum techniques starting from the basic and traditional approaches to modern approaches involving the use of artificial intelligence and machine learning