What You’ll Learn
Step into the future of computation. This course, designed by Nano School’s Deep Science Learning Organisation under the Nano Science & Technology Consortium (NSTC), teaches you to program **quantum computers** using **Qiskit**—IBM’s open-source framework—and run experiments on **real quantum hardware** via the cloud.
Qubits & Superposition
Understand quantum states, measurement, and the Bloch sphere.
Quantum Gates
Apply Hadamard, Pauli, CNOT, and rotation gates.
Qiskit Programming
Write, simulate, and visualize quantum circuits in Python.
Real Quantum Hardware
Execute circuits on IBM’s 5–7 qubit processors via the cloud.
Who Should Enroll?
Ideal for intermediate learners with Python and basic linear algebra—especially AI developers, computer science students, and engineers exploring emerging compute paradigms in India and globally.
- CS/engineering students with math background
- AI/ML developers curious about quantum advantage
- Researchers in optimization or cryptography
- Tech enthusiasts preparing for the quantum era
Hands-On Projects
Quantum Coin Flip
Simulate a fair coin using superposition and measure outcomes.
Entangled Bell State
Create and verify quantum entanglement on IBM’s simulator.
Capstone
Real Quantum Experiment
Run a custom circuit on IBM’s real quantum processor and analyze noise.
4-Week Syllabus
Total: ~40 hours • Lifetime LMS access • Mentor support in Delhi NCR
Week 1: Quantum Fundamentals
- Classical vs. quantum bits
- Superposition, measurement, Bloch sphere
- Lab: Visualize qubit states in Qiskit
Week 2: Quantum Gates & Circuits
- Single- and multi-qubit gates
- Circuit composition and visualization
- Lab: Build a quantum oracle
Week 3: Entanglement & Algorithms
- Bell states, quantum teleportation
- Deutsch-Jozsa algorithm
- Lab: Simulate teleportation protocol
Week 4: Real Hardware & Noise
- IBM Quantum Experience setup
- Transpilation, error mitigation
- Capstone: Run & analyze real quantum job
Nano School LMS & NSTC Mentorship
Access our browser-based LMS with lifetime access. Get guidance from mentors certified by the Nano School Technology Council (NSTC)—part of the Nano Science & Technology Consortium, empowering innovation across disciplines.
NSTC-Accredited Certificate
Verified by the Nano School Technology Council (NSTC). Shareable on LinkedIn. Recognized by employers and research labs across 95+ countries.
Frequently Asked Questions
Do I need a physics degree?
No. This course focuses on quantum computing from a programming and algorithmic perspective. Basic linear algebra (vectors, matrices) and Python are sufficient.
Will I use real quantum computers?
Yes! Through IBM Quantum Experience (free tier), you’ll run circuits on real 5–7 qubit quantum processors in the cloud—no local hardware needed.
How is this relevant to AI?
Quantum machine learning (QML) is an emerging frontier. This course builds foundational skills for future AI roles in quantum-enhanced optimization, sampling, and neural networks.
