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This book explains the main ideas behind MemComputing, its theoretical foundations and its applicability to a wide variety of combinatorial optimization problems, machine learning, and quantum mechanics.
List of contents
- Preface
- 1: The physics of computing and computing with physics
- 2: Computing: The Turing way
- 3: Dynamical systems picture of computing
- 4: Memory, memelements, active elements, and memprocessors
- 5: Universal MemComputing machine
- 6: Digital MemComputing machines
- 7: Self-organizing gates and circuits
- 8: Numerical simulations of DMMs
- 9: Application to combinatorial optimization problems
- 10: Application to machine learning and quantum mechanics
- 11: Topological features of DMMs
- 12: Approach to equilibrium and the ordered state of DMMs
- 13: Epilogue and future work
About the author
Massimiliano Di Ventra obtained his undergraduate degree in Physics summa cum laude from the University of Trieste (Italy) in 1991 and did his PhD studies at the Swiss Federal Institute of Technology in Lausanne 1993-1997. He is now professor of Physics at the University of California, San Diego. Di Ventra's research interests are in condensed-matter theory and unconventional computing. He has been invited to deliver more than 300 talks worldwide on these topics. He has published more than 200 papers in refereed journals and 3 textbooks, and has 4 granted patents. He is a fellow of the American Physical Society and the Institute of Physics, and a foreign member of Academia Europaea. In 2018 he was named Highly Cited Researcher by Clarivate Analytics and he is the recipient of the 2020 Feynman Prize for Theory in Nanotechnology.
Summary
This book explains the main ideas behind MemComputing, its theoretical foundations and its applicability to a wide variety of combinatorial optimization problems, machine learning, and quantum mechanics.
Additional text
The book is an excellent and brilliant pedagogical introduction to a new paradigm of IT architecture. It contains both introductory and advanced material, offering the reader an overview that is exhaustive and stimulating.
