Quantum Computing Fundamentals using IBM Qiskit

Course provided by Model Institute of Engineering & Technology

5 modules

Explore the fundamentals of Frontier Technologies

3-4 Level NCrF 

National Credit Framework

20 Hours 

Flexible Learning

Beginner Level 

No prior experience required

Nano Credit Course

0.5 Credit

Course Overview

This course introduces learners to the fundamentals of quantum computing, highlighting how it differs from classical computing. Students will gain hands-on experience setting up a quantum development environment using Anaconda and Qiskit, and learn to represent and manipulate quantum states using vectors and matrices. The course covers implementation and testing of single-qubit gates like Pauli X, Y, and Z, and guides learners in building simple quantum circuits to execute on IBM’s real quantum hardware, bridging theoretical concepts with practical application.

Key Learning Highlights

  • Understanding the fundamentals and principles of quantum computing versus classical computing.

  • Hands-on experience with quantum programming using Qiskit and Anaconda.

  • Representation and manipulation of quantum states with vectors and matrices.

  • Implementation and testing of basic single-qubit quantum gates (Pauli X, Y, Z).

  • Building and executing simple quantum circuits on IBM quantum hardware.

Tools & Platform Used

Learning Outcome

After completing this course, learners will be able to:

  • Grasp the core concepts of quantum computing and its distinction from classical computing.
  • Set up and utilize a quantum computing development environment using Anaconda and Qiskit.
  • Represent quantum states mathematically and manipulate them for computation.
  • Implement single-qubit gates and understand their operations on quantum states.
  • Design, simulate, and run simple quantum circuits on IBM’s real quantum hardware.

Master the course with just 5 Modules

This course introduces learners to the fundamentals of quantum computing, starting with the key concepts of qubits, superposition, entanglement, and quantum measurement. Students will set up a development environment using Anaconda and Qiskit, learning to create, initialize, and represent quantum states mathematically. The course covers the implementation of basic quantum gates and circuit construction, along with visualization techniques. Advanced topics include introductory quantum algorithms, quantum key distribution, and quantum teleportation, with hands-on practice running circuits on IBM simulators and real quantum hardware.

Introduction to Quantum Computing
  • Understand the basics of quantum computing and its distinction from classical computing.
  • Learn key concepts: qubits, superposition, entanglement, measurement, and quantum gates.
  • Explore real-world applications and the relevance of quantum computing.
  • Install and configure Anaconda and Qiskit for quantum programming.
  • Work with Jupyter Notebook and navigate Qiskit documentation.
  • Connect to IBM Quantum Lab for practical experimentation.
  • Create and initialize qubits for computation.
  • Represent quantum states using vectors, matrices, and the Bloch sphere.
  • Understand manipulation of quantum states for algorithm implementation.
  • Implement basic quantum gates like Pauli X, Y, Z, Hadamard, and more.

  • Combine gates to design and visualize quantum circuits.

  • Test and debug quantum circuits using Qiskit simulators.

  • Introduction to quantum algorithms like Deutsch-Jozsa.
  • Explore Quantum Key Distribution (QKD) and quantum teleportation.
  • Run and validate circuits on IBM quantum simulators and real hardware.

Roles

  • Quantum Computing Researcher

  • Quantum Algorithm Developer

  • Quantum Software Engineer

  • Quantum Hardware Engineer

  • AI & Quantum Integration Specialist

  • Cryptography and Security Analyst

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