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Syl 7

The document outlines two elective courses: Optical and Quantum Communication (PH66708) and Quantum Algorithms with Python and Qiskit (PH66754). The first course focuses on optical transmission mechanisms, coherent systems, and quantum cryptography, while the second course emphasizes practical quantum computing using Python and Qiskit, covering quantum algorithms and hardware applications. Each course includes specific objectives, outcomes, and a detailed syllabus with recommended textbooks and references.

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0% found this document useful (0 votes)
30 views2 pages

Syl 7

The document outlines two elective courses: Optical and Quantum Communication (PH66708) and Quantum Algorithms with Python and Qiskit (PH66754). The first course focuses on optical transmission mechanisms, coherent systems, and quantum cryptography, while the second course emphasizes practical quantum computing using Python and Qiskit, covering quantum algorithms and hardware applications. Each course includes specific objectives, outcomes, and a detailed syllabus with recommended textbooks and references.

Uploaded by

srigurulearn
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© © All Rights Reserved
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Annexure - 3m

PH66708 : O PTICAL AND Q UANTUM C OMMUNICATION (E LECTIVE -III)


(Credits: L-3,P-0,T-0. Marks: CW+TH=30+70)
Course Objectives
CO#1. To introduce optical trasnmission and detection mechanism along with coher-
ent/noncoherent systems and the corresponding transmission system parameters
CO#2. To introduce fundamentals of Quantum systems and Quantum Cryptography.

Course Outcome
CO#1. Students will be able to understand the concepts of Optical communication and
System design as well as capable of configuring an Optical link.
CO#2. They will be capable of analysing Quantum systems and learn about cryptography
in quantum communication.
Syllabus
Unit 1. Optical Transmitters & Receivers: Optical transmitter, Intensity modulation, LEDs,
Laser diodes fundamentals: Efficiency, characteristics, modulation bandwidth, Opti-
cal detection principle, quantum efficiency, responsivity, semiconductor photodiodes
with and without internal gain, noise, signal-to-noise ratio calculations, receiver
structures.
Unit 2. Coherent Optical Communication: Detection principles, practical constraints, ho-
modyne and heterodyne detection, receiver sensitivities, BER, system performance,
multicarrier system and network concepts.
Unit 3. Transmission System Design: Intensity modulation/ direct detection, design con-
siderations, Digital systems, regenerative repeater, bit error rate (BER), link design:
power budget, rise time budget, Analog systems, direct intensity modulation, subcar-
rier intensity modulation.
Unit 4. Quantum Systems: History of quantum information, Quantum bits, Multiple qubits,
Single-Mode and Two-Mode Quantum systems, linear propagation loss, phase insen-
sitive and phase sensitive amplifiers.
Unit 5. Quantum Cryptography: Public and private key cryptography; Quantum key dis-
tribution; Quantum cryptography; Experimental implementation of quantum cryp-
tography protocols.

Text Books
1. J. Gower, Optical communication systems, PHI, 2/e, 2001.
2. G. P. Agrawal, Fiber-optic communication systems, John Wiley & sons, Inc., 3/e, 2002.
3. Nielsen M.A. and Chuang I.L., Quantum Computation and Quantum Information, Cambridge University Press, 2000

Reference Books
1. Preskill J., Lecture Notes for the Course on Quantum Computation, http://www.theory.caltech.edu/people/preskill/ph229
2. H. Kolimbris, Fiber optics communications, Pearson Education, 1/e, 2004.
Annexure - 3n

PH66754 : Q UANTUM A LGORITHMS WITH P YTHON AND Q ISKIT


(E LECTIVE -IV)
(Credits: L-3,P-0,T-0. Marks: CW+TH=30+70)
Course Objectives
CO#1. To get acquainted with basic Quantum Computing circults
CO#2. To learn quantum computing concepts practically
CO#3. Learn to write codes using Python and to verify the same with IBM Qiskit
CO#4. To learn the cutting edge practical scenarios in real-time
Course Outcome
CO#1. Mastered the use of IBM Qiskit to real-time problems
CO#2. Apply appropriate coding skills to complicated QC problems
CO#3. Explore the use of coding with Qiskit to low temperature QC problems
CO#4. Create own quantum computer circuit and logics

Syllabus
Unit 1. Quantum states and cubits, mutiple qubits and entanglement, phase kickback (CNOT
and Hadamard),
Unit 2. Quantum speedup, hidden subgroup and application to cryptography, search and op-
timization, applying Grover’s algorithm for simiplification, random walk, quantum
walks.
Unit 3. Quantum protocols and quantum algorithms: Deutsch-Jozsa, Bernstein-Vazirani, Si-
mon’s, Quantum Fourier transform, Shor’s and Grover’s algorithms.
Unit 4. Applications: Solving linear system of equations, Solving combinatorial optimiza-
tion problems using QAOA, Solving Satisfiability Problems using Grover’s Algorithm,
Quantum Image Processing - FRQI and NEQR Image Representations
Unit 5. Quantum Hardware: Calibrating Qubits, introduction to transmon physics, circuit
QED, applications of Jayens-Cummings Hamitonion, measuring ac-Stark effect, Hamil-
tonian tomography.

Text Books
1. H. Norlan, Quantum Computing in Practice with Qiskit and IBM Quantum Experience, Packt Publishing, Birmingham,
2020.
2. J. L. Weaver and F. J. Harkins, Qiskit Pocket Guide, O’Reily Media, California, 2022.
3. Quantum Computing Labs (qiskit.org) (https://qiskit.org/)

Reference Books
1. Swayam Portal
2. C. C. Moran, Mastering Quantum Computing with IBM QX, Packt, Birmingham, 2020.
3. A. Monta naro, Quantum Algorithms: An Overview (arXiv: 1511.04206v2)

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