Brochure, Course Details, Registration Process, Registration Form
The primary objectives of the course are to expose the participants in the following:
Prof. Bhargab B. Bhattacharya is a Professor of Computer Science and Engineering in the Advanced Computing and Microelectronics Unit, Indian Statistical Institute Calcutta. His research interests include VLSI design and test, VLSI physical design, nanotechnology and giga-scale integration.
Prof. Robert Wille is a Full Professor in the Institute for Integrated Circuits, Johannes Kepler University Linz, Austria. His research interests include reversible and quantum computing, and development of design technologies with particular focus on the design, verification and test of circuits and systems, for both conventional and emerging technologies.
Dr. Kamalika Datta is an Assistant Professor in the Department of Computer Science and Engineering, National Institute of Technology Meghalaya. Her research interest include reversible and quantum circuit synthesis and optimization, memristors-based system design, and embedded systems.
Evolution of logic design techniques over the years (conventional approach, binary decision diagram, Multiplexer based synthesis)
Other non-conventional logic design methodologies (Reed-Muller canonical form, exclusive-OR sum of Products form, threshold logic)
Introduction to Memristor, principle of operation, memristor simulation models, memristor fabrication )
Logic design techniques using memristors, implementing IMPLY function using memristors, synthesis of logic functions using IMPLY functions
Memristor crossbar array, issues and sneak path avoidance, using memristors to build threshold logic gates, applications to neuromorphic computing
Memristor crossbar array, issues and sneak path avoidance, using memristors to build threshold logic gates, applications to neuromorphic computing
Basics: Quantum circuits, reversible circuits, and their applications
Design of reversible circuits (Synthesis and Verification)
Design of quantum circuits (Decomposition and Optimization)
Physical architectures and constraints (1D/2D quantum circuits, Nearest neighbour constraints)
Demonstration of decomposition, mapping and optimisation tools
The registration fees for attending the course is as follows: