B.Tech / M.Tech In Quantum Computing – Detailed Syllabus
Category: QUANTUM COMPUTING | 16th October 2025, Thursday
Here’s A comprehensive Semester-wise Syllabus For A B.Tech/M.Tech Specialization In Quantum Computing, Following Modern Academic Standards (AICTE/UGC + International Models Like MIT, Stanford, And IITs).
It Includes theory Papers, Lab Courses, And Mini-projects — Designed For A 4-semester M.Tech Or 8-semester B.Tech program.
B.Tech / M.Tech In Quantum Computing – Detailed Syllabus
Semester I: Foundations Of Quantum Computing
Core Subjects
1. Introduction To Quantum Computing
- Classical Vs Quantum Computation
- Qubits, Superposition, Entanglement
- Quantum Circuits And Measurement
- Quantum Teleportation And Superdense Coding
- Bloch Sphere And Dirac Notation
2. Mathematical Foundations For Quantum Computing
- Linear Algebra, Probability, And Complex Numbers
- Tensor Products And Matrices
- Eigenvalues/eigenvectors, Unitary Transformations
- Vector Spaces And Hilbert Space
- Quantum State Transformations
3. Programming For Quantum Systems (Python + Qiskit)
- Python For Scientific Computing
- Qiskit Basics, Simulators, And Visualization
- Building And Running Circuits
- Quantum Random Number Generation
Laboratory
- Quantum Circuit Simulation Lab (Qiskit Or Cirq)
- Assignments: Bell State, Teleportation, Deutsch Algorithm
Mini Project
Simulation Of Quantum Logic Gates Using Python
Semester II: Quantum Algorithms And Systems
Core Subjects
1. Quantum Algorithms And Applications
- Deutsch–Jozsa, Simon, Grover, And Shor Algorithms
- Quantum Fourier Transform (QFT)
- Phase Estimation And Amplitude Amplification
- Quantum Speedup And Complexity
2. Quantum Error Correction And Noise
- Quantum Noise Models
- Quantum Error-correcting Codes (Shor, Steane)
- Stabilizer Formalism And Fault-tolerant Computation
- Density Matrices And Decoherence
3. Quantum Hardware And Implementations
- Superconducting Qubits, Trapped Ions, Photonics
- Quantum Control Systems
- NISQ Devices
- IBM, Google, And IonQ Architectures
Laboratory
- Quantum Algorithm Implementation Lab (Grover, Shor)
- Hardware Backend Execution Via IBM Quantum Cloud
Mini Project
Implement Grover’s Algorithm On A Real Quantum Processor
Semester III: Advanced Quantum Technologies
Core Subjects
1. Quantum Cryptography And Post-Quantum Security
- Quantum Attacks On RSA And ECC
- Quantum Key Distribution (BB84, E91)
- Quantum-safe Encryption (lattice-based)
- Post-Quantum Cryptography (PQC) Standards
2. Quantum Machine Learning (QML)
- Quantum Data Encoding
- Variational Quantum Circuits (VQC)
- Quantum Neural Networks
- Quantum SVMs And Classification Models
- QML With PennyLane / TensorFlow Quantum
3. Quantum Simulation And Quantum Chemistry
- Simulating Molecules And Quantum Systems
- Hamiltonians And Eigenvalue Problems
- Variational Quantum Eigensolver (VQE)
- Quantum Approximate Optimization Algorithm (QAOA)
Laboratory
- Quantum ML Lab (QML Models Using Qiskit + PennyLane)
- PQC Simulation And Encryption Practice
Mini Project
Design A Hybrid Quantum-Classical ML Pipeline
Semester IV: Research And Applications
Core Subjects
1. Quantum Cloud And Advanced Platforms
- IBM Qiskit Runtime
- Google Cirq And Amazon Braket
- Distributed Quantum Computing
- Quantum Internet And Communication
2. Research Methodology And Seminar
- Literature Review And Research Writing
- Research Proposal Preparation
- Quantum Research Ethics And Collaboration
3. Dissertation / Major Project
Research-oriented Project (6–9 Months)
Possible Domains:
- Quantum Cryptography Protocol Simulation
- QML-based Classifier For Anomaly Detection
- Optimization Using QAOA
- Quantum Chemistry Modeling
Credit Structure (M.Tech Format)
| Semester | Theory Credits | Lab Credits | Project Credits | Total |
| I | 12 | 4 | 2 | 18 |
| II | 12 | 4 | 2 | 18 |
| III | 10 | 4 | 4 | 18 |
| IV | 4 | 2 | 12 | 18 |
| Total | - | - | - | 72 Credits |
Recommended Reference Books
1. Michael Nielsen & Isaac Chuang — Quantum Computation And Quantum Information
2. Eleanor Rieffel & Wolfgang Polak — Quantum Computing: A Gentle Introduction
3. Jack D. Hidary — Quantum Computing: An Applied Approach
4. Peter Shor, Lov Grover, David Deutsch — Research Papers
5. IBM Qiskit Textbook (free Online)
Quantum Software Stack
IBM Qiskit (Python)
Google Cirq
Microsoft Q# And Azure Quantum
Amazon Braket
Xanadu PennyLane (for QML)
TensorFlow Quantum
Tags:
Details Syllabus-quantum Computing, Complete Syllabus Of Computing For B.tech And M.tech
