Quantum Computing With Qiskit And Python Training Course in Pakistan
Introduction
The Quantum Computing with Qiskit and Python Training Course is an advanced, high-impact program designed to equip software engineers, data scientists, and emerging tech professionals with cutting-edge skills in quantum programming. As industries prepare for the next computational revolution, this course introduces the fundamentals of quantum theory, algorithm development, and quantum circuit design using IBM’s open-source Qiskit framework and Python. Participants will gain practical experience building and running quantum programs on simulators and real quantum hardware.
With quantum computing reshaping industries such as cryptography, optimization, machine learning, and materials science, professionals with hands-on quantum coding knowledge are in high demand. This course combines theoretical foundations with real-world quantum experiments to empower participants to think beyond classical computing and build quantum-aware applications using modern tools and quantum logic.
Target Audience
- Software developers transitioning into quantum computing
- Data scientists and AI engineers exploring quantum algorithms
- Researchers in physics, computing, or cryptography
- University instructors and academic technologists
- Technology consultants in innovation and R&D
- Government technologists and cybersecurity analysts
- Professionals pursuing quantum computing certification
Course Objectives
- Understand the principles of quantum mechanics relevant to computing
- Explore quantum computing models and their capabilities
- Learn the architecture and components of quantum computers
- Use Qiskit and Python to develop quantum circuits
- Simulate quantum programs using Qiskit Aer
- Execute quantum algorithms on IBM Quantum hardware
- Implement foundational algorithms such as Grover’s and Deutsch-Jozsa
- Integrate classical and quantum systems in hybrid workflows
- Apply quantum techniques to solve optimization and ML problems
- Develop a foundational portfolio for quantum computing careers
Duration
10 Days
Course content
Module 1: Introduction to Quantum Computing and Qiskit
- Overview of quantum vs classical computing
- Key quantum concepts: qubits, superposition, entanglement
- Installation and setup of Qiskit and IBM Quantum account
- Introduction to Qiskit’s components: Terra, Aer, Ignis, and Aqua
- Quantum programming lifecycle and tooling
Module 2: Qubits, Gates, and Quantum Circuits
- Understanding single and multi-qubit systems
- Common quantum gates: X, H, Z, CX, T
- Building circuits using Qiskit’s circuit API
- Visualizing quantum states and circuit diagrams
- Reversible computation and gate decomposition
Module 3: Measurement, Superposition, and Entanglement
- Quantum state measurement in computational basis
- Creating superposition and entangled states
- Bloch sphere representation of qubit states
- Demonstrating Bell states and entanglement properties
- Practical experiments with quantum teleportation
Module 4: Simulating Quantum Circuits with Qiskit Aer
- Simulating noise-free and noisy quantum systems
- Backends for unitary, statevector, and qasm simulations
- Noise models and device calibration data
- Benchmarking quantum circuits in simulators
- Debugging and verifying simulation results
Module 5: Running Experiments on Real Quantum Hardware
- Accessing IBM Quantum hardware via cloud
- Backend selection and transpilation
- Executing jobs and retrieving results
- Understanding hardware limitations and constraints
- Job monitoring, queue systems, and error analysis
Module 6: Quantum Algorithms and Their Applications
- Grover’s algorithm for search problems
- Deutsch-Jozsa and Bernstein-Vazirani algorithms
- Quantum teleportation and superdense coding
- Applying Shor’s algorithm conceptually
- Algorithm performance on simulators and hardware
Module 7: Hybrid Classical-Quantum Workflows
- Integrating classical computing with quantum programs
- Using Python control logic with Qiskit
- Orchestrating hybrid computations with classical feedback
- Building optimization loops
- Workflow automation and API use cases
Module 8: Quantum Machine Learning with Qiskit
- Introduction to Qiskit Machine Learning module
- Building quantum neural networks
- Feature maps and variational classifiers
- Training and evaluation of quantum models
- Comparison with classical ML approaches
Module 9: Quantum Error Correction and Noise Mitigation
- Introduction to decoherence and gate errors
- Simple quantum error-correcting codes
- Noise mitigation strategies in Qiskit
- Dynamic decoupling and zero-noise extrapolation
- Error correction benchmarks and limitations
Module 10: Quantum Cryptography and Security Implications
- Quantum key distribution (QKD) principles
- Post-quantum cryptography concepts
- Security challenges in quantum networks
- Hands-on QKD demonstrations with Qiskit
- Impact on blockchain and secure systems
Module 11: Advanced Quantum Circuits and Optimization
- Parameterized quantum circuits and variational forms
- Circuit optimization techniques
- Efficient gate usage and resource reduction
- Quantum compiling and transpiler levels
- Custom gate and composite operations
Module 12: Capstone Projects and Industry Applications
- Designing real-world quantum applications
- Case studies in finance, logistics, and chemistry
- Team-based quantum challenges
- Developing a mini portfolio of quantum circuits
- Preparing for advanced study or certification
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449
Training Venue
The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.
Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449
Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 10 working days before commencement of the training.
| Dates | Fees | Location | Apply |
|---|---|---|---|
| 07/07/2025 - 18/07/2025 | $3000 | Nairobi, Kenya |
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| 14/07/2025 - 25/07/2025 | $5500 | Johannesburg, South Africa |
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| 14/07/2025 - 25/07/2025 | $3000 | Nairobi, Kenya |
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| 04/08/2025 - 15/08/2025 | $3000 | Nairobi, Kenya |
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| 11/08/2025 - 22/08/2025 | $3500 | Mombasa, Kenya |
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| 18/08/2025 - 29/08/2025 | $3000 | Nairobi, Kenya |
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| 01/09/2025 - 12/09/2025 | $3000 | Nairobi, Kenya |
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| 08/09/2025 - 19/09/2025 | $4500 | Dar es Salaam, Tanzania |
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| 15/09/2025 - 26/09/2025 | $3000 | Nairobi, Kenya |
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| 06/10/2025 - 17/10/2025 | $3000 | Nairobi, Kenya |
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| 13/10/2025 - 24/10/2025 | $4500 | Kigali, Rwanda |
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| 20/10/2025 - 31/10/2025 | $3000 | Nairobi, Kenya |
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| 03/11/2025 - 14/11/2025 | $3000 | Nairobi, Kenya |
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| 10/11/2025 - 21/11/2025 | $3500 | Mombasa, Kenya |
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| 17/11/2025 - 28/11/2025 | $3000 | Nairobi, Kenya |
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| 01/12/2025 - 12/12/2025 | $3000 | Nairobi, Kenya |
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| 08/12/2025 - 19/12/2025 | $3000 | Nairobi, Kenya |
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