### 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.

• 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.

• 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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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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