Quantum Computing detailed syllabus for Artificial Intelligence & Data Science (AI&DS) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the AI&DS students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Artificial Intelligence & Data Science 6th Sem scheme and its subjects, do visit AI&DS 6th Sem 2021 regulation scheme. For Professional Elective-VI scheme and its subjects refer to AI&DS Professional Elective-VI syllabus scheme. The detailed syllabus of quantum computing is as follows.
Course Objectives:
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Unit I
QUANTUM COMPUTING BASIC CONCEPTS
Complex Numbers – Linear Algebra – Matrices and Operators – Global Perspectives Postulates of
Quantum Mechanics – Quantum Bits – Representations of Qubits – Superpositions
Unit II
QUANTUM GATES AND CIRCUITS
Universal logic gates – Basic single qubit gates – Multiple qubit gates – Circuit development -Quantum error correction
Unit III
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Unit IV
QUANTUM INFORMATION THEORY
Data compression – Shannon’s noiseless channel coding theorem – Schumacher’s quantum noiseless channel coding theorem – Classical information over noisy quantum channels
Unit V
QUANTUM CRYPTOGRAPHY
Classical cryptography basic concepts – Private key cryptography – Shor’s Factoring Algorithm -Quantum Key Distribution – BB84 – Ekart 91
Practical Exercises
- Single qubit gate simulation – Quantum Composer
- Multiple qubit gate simulation – Quantum Composer
- Composing simple quantum circuits with q-gates and measuring the output into classical bits.
- IBM Qiskit Platform Introduction
- Implementation of Shor’s Algorithms
- Implementation of Grover’s Algorithm
- Implementation of Deutsch’s Algorithm
- Implementation of Deutsch-Jozsa’s Algorithm
- Integer factorization using Shor’s Algorithm
- QKD Simulation
- Mini Project such as implementing an API for efficient search using Grover’s Algorithms or
Course Outcomes:
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Text Books:
- Parag K Lala, Mc Graw Hill Education, “Quantum Computing, A Beginners Introduction”, First edition (1 November 2020).
- Michael A. Nielsen, Issac L. Chuang, “Quantum Computation and Quantum Information”, Tenth Edition, Cambridge University Press, 2010.
- Chris Bernhardt, The MIT Press; Reprint edition (8 September 2020), “Quantum Computing for Everyone”.
Reference Books:
- Scott Aaronson, “Quantum Computing Since Democritus”, Cambridge University Press, 2013.
- N. David Mermin, “Quantum Computer Science: An Introduction”, Cambridge University Press, 2007.
For detailed syllabus of all the other subjects of Artificial Intelligence & Data Science 6th Sem, visit AI&DS 6th Sem subject syllabuses for 2021 regulation.
For all Artificial Intelligence & Data Science results, visit Anna University AI&DS all semester results direct link.