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Dubai 5 October 2026
Training Programme

Quantum Computing Concepts and Practical Applications Training Course

1Summary

Quantum computing has moved from a physics-department curiosity to a subject that shows up in technology roadmaps, cybersecurity risk registers, and innovation budgets – which means IT leaders, developers, and business strategists now need to hold an informed opinion about it, whether or not they ever write a line of quantum code. The Quantum Computing Concepts and Practical Applications Training Course by Arab British Fellowship Training Academy is built for that audience: professionals who need to separate genuine opportunity from hype before committing budget or attention to it.

Part of the Information Technology and Programming Courses category, the programme builds from qubits, superposition, and entanglement through quantum gates and circuits, and into practical exposure using Qiskit. It then turns to where the technology actually matters commercially – optimisation, simulation, finance, logistics, and its intersection with artificial intelligence – and to the cybersecurity implication every organisation eventually has to plan for: post-quantum cryptography.

2Objectives and target group

By the end of this course, participants will be able to:

  • Explain qubits, superposition, and entanglement, and why they behave differently from classical bits.
  • Describe how quantum gates combine into quantum circuits and how circuit outcomes are measured.
  • Build, simulate, and interpret simple quantum circuits using Qiskit.
  • Evaluate which types of computational problems – optimisation, simulation, modelling – may benefit from quantum approaches.
  • Assess practical constraints such as scalability, infrastructure, and organisational readiness before considering adoption.
  • Identify where quantum methods intersect with machine learning and data-intensive workloads.
  • Recognise business applications across finance, logistics, materials, healthcare, and other sectors.
  • Explain the security implications of quantum advances and the role of post-quantum cryptography.
  • Incorporate quantum considerations into technology roadmaps and strategic planning conversations.

Target Audience

  • IT managers, technology leaders, and digital transformation professionals.
  • Software developers and programmers who may collaborate with quantum technology teams.
  • Data scientists and analytics professionals working on optimisation or advanced modelling.
  • Cybersecurity professionals planning long-term cryptographic resilience.
  • Innovation, research, and business strategy professionals assessing emerging technologies.
  • Project and programme managers working on technology initiatives with quantum-related components.

3Course Content

Module 1: Why Quantum Computing Is a Board-Level Conversation Now

  • The shift from academic curiosity to organisational technology strategy.
  • Quantum technology ecosystems and corporate applications.
  • Quantum readiness considerations before investing attention or budget.

Module 2: Qubits, Superposition and Entanglement – The Building Blocks

  • Qubits as the fundamental unit of quantum information.
  • Superposition, measurement, and probability amplitudes.
  • Entangled states and their practical significance.

Module 3: Quantum Gates and How Circuits Are Built

  • Fundamental single- and multi-qubit gate operations.
  • Constructing and measuring quantum circuits.
  • Basic circuit-optimisation concepts.

Module 4: Quantum Algorithms and the Problems They Are Good At

  • Search, optimisation, and simulation workloads.
  • Financial, logistics, and scientific applications.
  • Distinguishing problems suited to quantum approaches from those that are not.

Module 5: Getting Hands-On With Qiskit

  • Setting up the Qiskit development workflow.
  • Creating, manipulating, and measuring qubits and circuits.
  • Running simulations and interpreting results.

Module 6: Where Quantum Meets Artificial Intelligence

  • Quantum machine learning concepts.
  • Optimisation for AI and data-intensive workloads.
  • Practical limitations and current implementation challenges.

Module 7: Real-World Business Applications, Sector by Sector

  • Financial modelling, portfolio, and risk optimisation.
  • Supply chain, manufacturing, healthcare, and materials science.
  • Assessing organisational conditions for experimentation.

Module 8: Post-Quantum Cryptography – Preparing Before the Threat Arrives

  • Why conventional cryptography may need reassessment.
  • Cryptographic migration planning and quantum-resistant security.
  • Data protection and long-term cybersecurity strategy.

Module 9: Building a Realistic Quantum Roadmap

  • Business case development and use-case identification.
  • Technical feasibility, skills, and vendor evaluation.
  • Quantum governance and future-readiness planning.

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Quantum Computing Concepts and Practical Applications Training Course