Ahmedullah Aziz, Shamiul Alam

Superconducting Memory Technologies (eBook, PDF)

• Format: PDF

Produktbeschreibung

There is a lot of excitement around quantum computers that use superconducting qubits, which operate at extremely low temperatures since they are ultra-sensitive to noise. These quantum computers need a memory and control processor that can operate under cryogenic conditions. Among the cryogenic memory technologies, superconducting memories are the most efficient and compatible for these purposes. They can help advance quantum computing, facilitate high-performance computing, and explore space more effectively. However, cryogenic memory technologies currently face various challenges.

This book discusses the latest advancements in superconducting memory technologies. It covers four main types of superconducting memories: Josephson junction-based, magnetic Josephson junction-based, superconducting memristor-based, and ferroelectric superconducting quantum interference device-based memories. The book explores the background, working principles, and challenges of each of these technologies, providing a comprehensive overview of the field.

In summary, this book:

Explores available superconducting memory technologies, ensuring readers gain an understanding of this cutting-edge field

Focuses on four superconducting memory technologies, describing their historical background and technical features

Describes how these technologies help to advance quantum computing, superconducting electronics, and space exploration

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 68
• Erscheinungstermin: 18. März 2025
• Englisch
• ISBN-13: 9783031835575
• Artikelnr.: 73674291

Autorenporträt

Ahmedullah Aziz is an Assistant Professor of Electrical Engineering & Computer Science at the University of Tennessee, Knoxville, USA. He earned his Ph.D. in Electrical & Computer Engineering from Purdue University in 2019, an MS degree in Electrical Engineering from Pennsylvania State University in 2016, and a BS degree in Electrical & Electronic Engineering from Bangladesh University of Engineering & Technology in 2013.

Dr. Aziz is an expert in device-circuit co-design and electronic design automation (EDA). His research laid the foundation for physics-based and semi-physical compact modeling of multiple emerging device technologies, including - Mott switches, oxide memristors, ferroelectric transistors, Josephson Junctions, cryotrons, topological memory/switches, and so on. His research portfolio comprises multiple avenues of exploratory nanoelectronics, spanning from device modeling to circuit/array design. In addition, Dr. Aziz has been a trailblazer in cryogenic memory technologies, facilitating critical advancements in quantum computing systems and space electronics. His works on memristive (room-temperature) and superconducting (cryogenic) neuromorphic systems have paved the way for dense, reconfigurable, and bio-plausible computing hardware.

He received several awards and accolades for his research, including the 'Translational Research Award' & 'Chancellor's Innovation Award' from UT Knoxville (2024), 'New Faculty Researcher Award' from American Society of Engineering Educators (2024), 'ACM SIGDA Outstanding Ph.D. Dissertation Award (2021)' from the Association of Computing Machinery, 'Outstanding Graduate Student Research Award (2019)' from Purdue University, and 'Icon' award from Samsung (2013). He is a technical program committee (TPC) member for multiple flagship conferences (including DAC and ISCAS), and a reviewer for several reputed journals (including Nature, Advanced Materials). He serves as an editorial board member for multiple journals including - 'Scientific Reports', and 'Frontiers in Nanotechnology'. He also served as a review panelist for the US Department of Energy and the National Science Foundation.

Shamiul Alam is a Ph.D. candidate in Electrical Engineering at the University of Tennessee, Knoxville, where he also completed his M.S. degree. He earned his B.S. in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology in 2017. Prior to beginning his graduate studies in 2020, he served as a Lecturer in Electrical Engineering at the Military Institute of Science and Technology in Dhaka, Bangladesh.

Mr. Alam's research specializes in device modeling and circuit design, with a focus on developing logic, memory, and in-memory computing systems for room-temperature and cryogenic applications. He has authored over 40 research articles in prestigious journals and conferences. His work has been recognized as an "Editor's Pick" in Applied Physics Letters and featured in the "Top 100 in Physics" and "Top 100 in Materials Science" collections of Scientific Reports.

Inhaltsangabe

Chapter 1. Introduction.- Chapter 2. Josephson Junction-based Superconducting Memories.- Chapter 3. Superconducting Memories.- Chapter 4. Magnetic Josephson Junction-based Superconducting Memories.- Chapter 5. Superconducting Memristor-based Superconducting Memory.- Chapter 6. Ferroelectric SQUID-based Superconducting Memory.- Chapter 7. Conclusion.