B.E Artificial Intelligence and Machine Learning Quantum Computing Lab Syllabus - Mumbai University
This is the Fourth Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.
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Syllabus for Quantum Computing Lab
Building Quantum dice
- Building Quantum Random No. Generation Composing simple quantum circuits with q-gates and measuring the output into classical bits. Implementation of Shor‘s Algorithms Implementation of Grover‘s Algorithm Implementation of Deutsch‘s Algorithm Implementation of Deutsch-Jozsa‘s Algorithm Quantum Circuits Qubit Gates Bell Circuit & GHZ Circuit Accuracy of Quantum Phase Estimation Mini Project such as implementing an API for efficient search using Grover‘s Algorithms or Integer factorization using Shor‘s Algorithm.
Useful Links
- 1 IBM Experience: https://quantum-computing.ibm.com/
- 2 Microsoft Quantum Development Kit https://azure.microsoft.com/en-us/resources/development-kit/quantum-computing/#overview
- 3 Forest SDK PyQuil: https://pyquil-docs.rigetti.com/en/stable/
- 4 Google Quantum CIRQ https://quantumai.google/cirq
- 5 Qiskit Labs IBM https://learn.qiskit.org/course/ch-labs/lab-1-quantum-circuits
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording is as printed in that syllabus. Module numbering is as printed there too.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.