CS6009 NANO COMPUTING | syllabus (ELECTIVE-IV)

CS6009    NANO COMPUTING L T P C 3 0 0 3

                                                       

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 BOOK:

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

REFERNCES:

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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