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Course Detail

Course Name Quantum Computing
Course Code 26CSC412
Program 5 Year Integrated M.Sc in Data Science
Semester 8
Credits 4
Campus Coimbatore

Syllabus

Unit 1

Linear Algebra Revisits: Complex Numbers Versus Real Numbers, Vectors, Scalar Multiplication, Vector Addition, and Bases.Introduction to Quantum Computing: Quantum Bits, Bloch Sphere Representation of a Qubit, Multiple Qubits

Unit 2

: Introduction to Quantum Mechanics: The Postulates of Quantum Mechanics, EPR Paradox, Quantum Physics Essentials, Atoms, Elementary Particles, And Molecules, Hilbert Spaces, and Uncertainty.

Unit 3

Quantum Circuits: Single Qubit Gates and Operations, Multiple Qubit Gates and Operations, Design and Simulation of Quantum Circuits.

Unit 4

Quantum Algorithms: Introduction to Quantum Algorithms, Deutschs Algorithm, Deutschs-Jozsa Algorithm, Shors Algorithm, Grovers Algorithm and Generalizations, etc.

Unit 5

Quantum Information Processing and Error Correction: Quantum Noise and Quantum Operations, Classical Noise and Markov Processes, Quantum Operations, Distance Measures for Quantum Information; Quantum

Objectives and Outcomes

Course Outcomes:

  • CO1:  Understand the basics of quantum mechanics and quantum computing principles.
  • CO2: Understand Quantum circuits, Single Qubit Gates and Operations.
  • CO3: Understand and apply quantum algorithms such as Deutsch’s Algorithm, Deutsch’s-Jozsa Algorithm, Shor’s Algorithm.
  • CO4: Understand the Quantum information processing and error correcting.

CO-PO Mapping:

  PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
CO1 3 2 2 2 2 2           2
CO2 3 3 3 2 2 3           2
CO3 3 2 3 3 2 2           2
CO4 3 2 2 3 3 3           2

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