{"id":7601,"date":"2023-02-17T12:24:53","date_gmt":"2023-02-17T06:54:53","guid":{"rendered":"https:\/\/www.ee.iitb.ac.in\/web?post_type=course_lists&p=7601"},"modified":"2023-02-17T12:29:05","modified_gmt":"2023-02-17T06:59:05","slug":"ee-501-spin-based-computing","status":"publish","type":"course_lists","link":"https:\/\/www.ee.iitb.ac.in\/web\/course_lists\/ee-501-spin-based-computing\/","title":{"rendered":"EE 501 – Spin-Based Computing"},"content":{"rendered":"\nModule 1 (Introduction): Brief exposition to different spin-based computing schemes provided, Advantages of such computing schemes over conventional-transistor-based digital computing schemes explained<\/br>\nModule 2 (Basics of Spin Physics): Single-domain model of a nanomagnet, Micromagnetics, Landau Lifschitz Gilbert equation modified with spin-transfer and spin-orbit torque terms, magnetic switching, domain-wall motion, spin oscillation<\/br>\nModule 3 (Basics of Computability Theory): Deterministic and Non-Deterministic Finite Automata, Regular Languages, Deterministic and Non-Deterministic Turing machines, Decidable and Undecidable Languages with Examples, Definition of an algorithm with respect to a Turing machines<\/br>\nModule 4 (Basics of Complexity Theory): Defining Complexity, Class P and NP, NP-Complete Problems, Space Complexity<\/br>\nModule 5 (Spin-based computing within the Von Neumann paradigm): Design of magnetic random access memory arrays, Nanomagnetic Logic, All Spin Logic<\/br>\nModule 6 (Crossbar-Array-Based Computing and Implementation through Spintronics): Sub-topics: Memory-Computing Intertwining through Crossbar Arrays of Synaptic Devices, Implementation of neural-network\/ machine-learning algorithms on such arrays, Complexity analysis of such implementation, Spintronics-based implementations of crossbar arrays through domain-wall devices<\/br>\nModule 7 (Oscillator-Based Computing and Implementation through Spintronics): Kuramoto model for synchronization of oscillators, Oscillator-synchronization-based computing, Complexity analysis of such an algorithm, Implementation through spintronic oscillator<\/br>\nModule 8 (Probabilistic Computing and Implementation through Spintronics): Probabilistic computing basics, Complexity Analysis of Probabilistic Computing Algorithms, Implementation through stochastic spintronic devices <\/br>\n\n\n\nText\/References<\/b>\n\n