Quantum Computing Training
Qiskit, quantum circuits, Shor's & Grover's algorithms, and quantum cryptography. For Hyderabad IT professionals building skills for the decade ahead.
Course Overview
Let's be direct: quantum computing jobs aren't posted on Naukri today. But five years from now, the engineers who understood this technology early will be the ones who define where their organizations go next. This course is for professionals who think that way. You'll start with the physics — not a PhD-level treatment, but enough to genuinely understand why quantum computers work the way they do. Qubits, superposition, entanglement, and quantum interference explained in terms that a software engineer or data scientist can actually use. From there, you'll move into practical programming with IBM's Qiskit SDK on IBM Quantum Experience. You'll write quantum circuits in Python, implement Grover's algorithm for search acceleration, and explore Shor's algorithm for factoring — the one that will eventually break RSA encryption. You'll also work with Google's Cirq framework as an alternative perspective. The final modules cover real industry applications — quantum optimization for logistics routing, quantum chemistry simulations for drug discovery, and the basics of quantum-safe cryptography (QKD and post-quantum encryption standards). Who is this for? Developers, data scientists, and researchers who want to get ahead before the market arrives. Organizations like TCS Research, IIT Hyderabad, IBM India, and Microsoft Research India are actively building quantum capability right now. Research and early-adoption roles are the current entry point. This is an intermediate course — you need basic Python and some comfort with linear algebra. Weekend batches at Dilsukhnagar. Next batch: [BATCH_DATE].
What You Will Learn
- ✓ Quantum computing fundamentals — qubits, superposition, entanglement in plain English
- ✓ Hands-on Qiskit (IBM) programming on IBM Quantum Experience cloud platform
- ✓ Implement Grover's and Shor's algorithms from scratch in Python
- ✓ Quantum circuit design and simulation — 6 practical exercises
- ✓ Google Cirq framework as an alternative to Qiskit
- ✓ Industry applications: pharma, finance, logistics, and quantum cryptography (QKD)
- ✓ Honest positioning: future-ready skills, not a promise of immediate job placement
- ✓ Weekend batches at Dilsukhnagar — requires Python basics and linear algebra
Tools & Technologies
Syllabus
1Module 1: Quantum Computing Foundations (No PhD Required)+
- Classical vs. quantum computing: why qubits outperform bits for specific problems
- Superposition: the "both at once" property explained with probability amplitudes
- Entanglement: correlated qubits and why distance doesn't matter
- Interference: how quantum algorithms cancel wrong answers
- Quantum speedup: what problems benefit and what problems don't
2Module 2: Qubits & Quantum Gates+
- Qubit representations: Dirac notation (bra-ket) and Bloch sphere
- Single-qubit gates: Hadamard (H), Pauli-X/Y/Z, S, T gates
- Multi-qubit gates: CNOT, Toffoli, SWAP — controlling entanglement
- Quantum circuit diagrams: reading, writing, and composing
- Noise and decoherence: why current quantum computers are "noisy"
3Module 3: Programming with Qiskit (IBM)+
- Qiskit SDK installation and IBM Quantum Experience account setup
- Building your first quantum circuit in Python with Qiskit Terra
- Running circuits on IBM simulators and real quantum hardware
- Measurement and classical register handling
- Visualizing results: histogram plots, statevector visualization
4Module 4: Quantum Algorithms+
- Deutsch-Jozsa algorithm: the first proof of quantum advantage
- Grover's algorithm: quadratic speedup for unstructured search problems
- Quantum Fourier Transform (QFT): the building block of many algorithms
- Shor's algorithm: polynomial-time integer factoring and its cryptographic implications
- Variational Quantum Eigensolver (VQE): an intro to near-term quantum algorithms
5Module 5: Google Cirq & Alternative Frameworks+
- Cirq SDK: circuit objects, simulators, and Google Quantum AI hardware
- Comparing Qiskit and Cirq: syntax, abstraction levels, hardware targets
- PennyLane basics: quantum machine learning interface
- Quantum cloud platforms comparison: IBM Quantum, Google Quantum AI, IonQ, AWS Braket
- Open-source quantum ecosystem: community, resources, and staying current
6Module 6: Quantum Cryptography+
- Why RSA is vulnerable to Shor's algorithm — and what that means
- Quantum Key Distribution (QKD): BB84 protocol explained
- Post-quantum cryptography: NIST PQC standards (CRYSTALS-Kyber, CRYSTALS-Dilithium)
- Quantum-safe migration planning for IT systems
- Real deployments: quantum cryptography networks in Europe and China
7Module 7: Industry Applications & Capstone+
- Quantum optimization: QUBO formulation for logistics and scheduling problems
- Quantum chemistry: VQE for molecular energy calculations (pharma applications)
- Quantum finance: portfolio optimization and Monte Carlo speedup
- Capstone project: implement and present one quantum algorithm from start to finish
- Career pathways: research roles, certifications, and staying ahead of the market