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Quantum Computing Foundations
New
Rating: 4.1 out of 5(3 ratings)
100 students

Quantum Computing Foundations

Theory to Hands-On Practice with Qiskit
New
Created byProsper Dzanwa
Last updated 5/2026
English

What you'll learn

  • Explain fundamental quantum principles like superposition and entanglement and how they differ from classical computing constraints
  • Apply linear algebra, Dirac notation, and Hamiltonians to model quantum states, gates, and the evolution of multi-qubit systems
  • Construct hybrid algorithms like VQE and QAOA to solve combinatorial optimization problems by mapping them to Ising Hamiltonians
  • Program quantum circuits using Qiskit to run experiments on simulators and real IBM Quantum hardware to solve the Max-Cut problem

Course content

10 sections • 10 lectures • 1h 58m total length

  • Introduction2:48

    Students will understand the foundations and limitations of classical computing, and why quantum computers are necessary to solve problems that are intractable today.

Requirements

  • Skills & Experience:
  • Familiarity with matrices, vectors, and basic operations (the course uses Dirac notation and matrix multiplication)
  • High School Physics: A fundamental understanding of basic physical concepts (e.g., energy, motion) to help contextualize quantum phenomena.
  • Basic Programming Knowledge: Final project involves programming in Python using Qiskit and Jupyter Notebooks, so basic coding comfort is highly recommended.
  • Tools & Equipment:
  • Computer: A desktop or laptop capable of running Python and Jupyter Notebooks.
  • Internet Access: Required to access course materials and connect to IBM’s quantum processors via the cloud.
  • IBM Quantum Account: You will need to create a free account with IBM Quantum to deploy your project code to real hardware.

Description

Are you ready to step beyond the limitations of classical binary logic and enter the probabilistic world of Quantum Computing?

We stand at the threshold of a new computational era. While classical computers have powered the digital revolution, they hit a hard wall when faced with complex optimization problems and molecular simulations. This course is your bridge from the classical world to the quantum frontier.

Quantum Computing Foundations: From Theory to Algorithms is designed to take you on a structured journey—starting from the historical "Ultraviolet Catastrophe" that broke classical physics, all the way to running cutting-edge algorithms on real IBM Quantum hardware.

What You Will Learn
This isn't just a theory class; it is a practical guide to the physics and code that power quantum computers. We strip away the science fiction to reveal the actual mechanics of the universe:

  • The Physics of Information: Master the counter-intuitive principles of Superposition, Entanglement, and Interference.

  • Mathematical Rigor: Learn to speak the language of quantum mechanics using Dirac Notation, Linear Algebra, and Hamiltonian Operators.

  • The "Why" of Quantum: Understand exactly where classical Turing machines fail—from the limitations of simulating nitrogen fixation to solving NP-hard combinatorial problems.

Master the Latest Qiskit Technology (V2 Primitives)
Unlike older courses that rely on deprecated code, this course is built for the modern quantum developer. You will learn to program using the latest Qiskit 2.0+ SDK. We focus specifically on the new Primitives V2 architecture, teaching you how to utilize SamplerV2 and EstimatorV2 for efficient, noise-aware execution.

Hands-On Project: Solving Real-World Problems
Your learning will culminate in a comprehensive final project. You will play the role of a quantum engineer tasked with solving the Weighted Max-Cut Problem—a real-world optimization challenge used in everything from marketing strategy to network design.

You will build, optimize, and compare two of the most important algorithms in the NISQ (Noisy Intermediate-Scale Quantum) era:

  1. VQE (Variational Quantum Eigensolver): Using the variational principle to find ground states.

  2. QAOA (Quantum Approximate Optimization Algorithm): Implementing alternating cost and mixing layers.

Finally, you won't just run this on a simulator. You will deploy your optimized parameters to a real IBM Quantum Computer, witnessing the power of quantum mechanics in action.

Who Is This For?
Whether you are a Python developer, a physics enthusiast, or a student looking to future-proof your career, this course provides the foundational knowledge and practical skills to join the quantum revolution.

The quantum future isn't coming; it's already here. Enroll today and begin your Quantum Voyage.

Who this course is for:

  • Science and tech enthusiasts who want to move beyond science fiction concepts to understand real quantum mechanics and physics.
  • Students and self-learners looking for a friendly, ground-up guide to the math and theory of quantum computing without needing a PhD.
  • Curious minds fascinated by the "Quantum Revolution" who want to understand how tomorrow's computers will solve today's impossible problems.
  • Beginners with basic Python skills who are ready to write their first quantum program using Qiskit.

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