ORO751 Syllabus - Nano Computing - 2017 Regulation - Open Elective | Anna University

ORO751 Syllabus - Nano Computing - 2017 Regulation - Open Elective | Anna University

ORO751

NANO COMPUTING

 L T P C

3003

OBJECTIVES: The student should be made to:
• Learn nano computing challenges.
• Be familiar with the imperfections.
• Be exposed to reliability evaluation strategies.
• Learn nano scale quantum computing.
• Understand Molecular Computing and Optimal Computing.

UNIT I

NANOCOMPUTING-PROSPECTS AND CHALLENGES

9

Introduction - History of Computing - Nanocomputing - Quantum Computers – Nanocomputing Technologies - Nano Information Processing - Prospects and Challenges - Physics of Nanocomputing: Digital Signals and Gates - Silicon Nanoelectronics - Carbon Nanotube Electronics - Carbon Nanotube Field-effect Transistors – Nanolithography.

UNIT II

NANOCOMPUTING WITH IMPERFECTIONS

9

Introduction - Nanocomputing in the Presence of Defects and Faults - Defect Tolerance - Towards Quadrillion Transistor Logic Systems.


UNIT III

RELIABILITY OF NANOCOMPUTING

9

Markov Random Fields - Reliability Evaluation Strategies - NANOLAB - NANOPRISM - Reliable Manufacturing and Behavior from Law of Large Numbers.

UNIT IV

NANOSCALE QUANTUM COMPUTING

9

Quantum Computers - Hardware Challenges to Large Quantum Computers - Fabrication, Test, and Architectural Challenges - Quantum-dot Cellular Automata (QCA) - Computing with QCA - QCA Clocking - QCA Design Rules.

UNIT V

QCADESIGNER SOFTWARE AND QCA IMPLEMENTATION

9

Basic QCA Circuits using QCA Designer - QCA Implementation - Molecular and Optical Computing: Molecular Computing - Optimal Computing - Ultrafast Pulse Shaping and Tb/sec Data Speeds.

TOTAL: 45 PERIODS

OUTCOMES: Upon completion of the course, the student should be able to:
• Discuss nano computing challenges.
• Handle the imperfections.
• Apply reliability evaluation strategies.
• Use nano scale quantum computing.
• Utilize Molecular Computing and Optimal Computing.

TEXT BOOKS:
1. Sahni V. and Goswami D., Nano Computing, McGraw Hill Education Asia Ltd. (2008), ISBN (13): 978007024892.

REFERENCES:
1. Sandeep K. Shukla and R. Iris Bahar., Nano, Quantum and Molecular Computing, Kluwer Academic Publishers 2004, ISBN: 1402080670.
2. Sahni V, Quantum Computing, McGraw Hill Education Asia Ltd. 2007.
3. Jean-Baptiste Waldner, Nanocomputers and Swarm Intelligence, John Wiley & Sons, Inc. 2008, ISBN (13): 978-1848210097.
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