Introduction: Elementary quantum mechanics:, linear algebra for quantum
mechanics, Quantum states in Hilbert space, Concept of superposition, entanglement, The Bloch sphere, Density operators, generalized
measurements, no-cloning theorem.
Module II
Quantum correlations: Bell inequalities and entanglement, Schmidt decomposition, superdense coding, teleportation.
Module III
Quantum cryptography: quantum key distribution, BB84 protocol,
Module IV
Quantum gates and algorithms: Universal set of gates, quantum circuits, Solovay-Kitaev
theorem, Deutsch-Jozsa algorithm, Simon's algorithm, Quantum Fourier transform, Shor' algorithm, Grover' algorithm, Variational Quantum eigen solver algorithm, Quantum approximate optimization algorithm. introduction to tensor network for QC, Picturing Quantum processes, ZX diagrams and ZX calculus,Ising spin chain.
Module V
Programming On quantum computer: The IBMQ, Quskit, Pennylane etc. Coding with quantum computer using a
simulator to carry out basic quantum measurement and state analysis.

This course provides an introduction to the theory and practice of quantum computation.

The students are quantum ready for different applications.

Nielsen, Michael A., and Isaac L. Chuang., Quantum Computation and Quantum Information., Cambridge University Press , September 2000. ISBN: 9780521635035.

) Phillip Kaye, Raymond Laflamme, An introduction to Quantum Computing, Oxford University press , 2007

Peres, Asher., Quantum Theory: Concepts and Methods., Springer , ISBN: 9780792325499

Preskill,, Notes on Quantum Computation., California Institute of Technology

The students can get update publications on different journals and open sources like arxiv