Unit 1
Review of the principles of quantum computation, The Deutsch Jozsa Algorithm, Bernstein Vazirani Algorithm, Simmons Algorithm
| Course Name | Quantum Computing & Algorithms |
| Course Code | 23AID303 |
| Program | B.Tech in Artificial Intelligence and Data Science |
| Semester | 5 |
| Credits | 3 |
| Campus | Coimbatore , Amritapuri ,Faridabad , Bangaluru, Amaravati |
Review of the principles of quantum computation, The Deutsch Jozsa Algorithm, Bernstein Vazirani Algorithm, Simmons Algorithm
Shor’s Algorithm, Grover’s Search, Grover’s algorithm Programming
NISQ-era quantum algorithms, Variational Quantum Algorithms
Variational Quantum Eigen solver, Quantum Generative Adversarial Networks (QGANs)
Course Objectives
Course Outcomes
After completing this course, students will be able to
|
CO1 |
The basic principles of quantum computing. |
|
CO2 |
The fundamental differences between conventional computing and quantum computing. |
|
CO3 |
Several basic quantum computing algorithms. |
CO-PO Mapping
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PO/PSO |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
PSO1 |
PSO2 |
PSO3 |
|
CO |
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|
CO1 |
3 |
3 |
3 |
2 |
3 |
– |
3 |
3 |
3 |
– |
– |
– |
– |
– |
– |
|
CO2 |
3 |
3 |
3 |
2 |
3 |
2 |
– |
3 |
– |
– |
– |
– |
– |
– |
|
|
CO3 |
3 |
3 |
3 |
2 |
3 |
– |
2 |
– |
3 |
– |
– |
– |
– |
– |
– |
|
CO4 |
– |
– |
– |
– |
– |
– |
– |
– |
– |
– |
– |
– |
– |
– |
– |
Evaluation Pattern
|
Assessment |
Internal/External |
Weightage (%) |
|
Assignments (Minimum 3) |
Internal |
30 |
|
Quiz(Minimum 2) |
Internal |
20 |
|
Mid-Term Examination |
Internal |
20 |
|
Term project/End semester examination |
External |
30 |
Text Books / References
Bernhardt, Chris. Quantum computing for everyone. Mit Press, 2019.
Yuly Billing, Quantum Computing for High School Students.
Quantum Computation and Quantum Information, M. A. Nielsen & I.Chuang, Cambridge University Press (2000).
Gilbert Strang, Introduction to Linear Algebra, Fifth Edition, Wellesley-Cambridge Press, 2016.
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