Essentials of Quantum Computing and Quantum Mechanics


Quantum computing represents a synergy of quantum mechanics principles, mathematical theory, and advanced computer science. This field leverages critical quantum phenomena, such as superposition and entanglement, enabling quantum processors to perform tasks at speeds unattainable by classical computing systems.

This dynamic, instructor-facilitated training, available both virtually and in-person, is crafted for computer scientists and engineers keen on mastering quantum computing’s foundational elements and applying them in algorithmic design for quantum systems.

After completing this program, participants will be equipped to:

  • Grasp the core principles underpinning quantum computing.
  • Incorporate concepts from quantum mechanics into computational practices.
  • Devise quantum algorithms.
  • Enhance problem-solving efficiency via quantum computational strategies.
  • Infuse quantum phenomena into conventional computational frameworks.
  • Recognize quantum computing’s role in driving forward diverse technological fields.


Educational Approach:

  • Engaging instruction paired with interactive discussions.
  • Comprehensive exercises and ample practice opportunities.
  • Practical, hands-on experience in a simulated lab environment.

Personalization Opportunities:

  • For a bespoke training experience tailored to your needs, please reach out to discuss your custom training preferences

Course Outlines


Overview of Quantum Physics Theories Applied in Quantum Computing

  • Fundamentals of quantum superposition
  • Fundamentals of quantum entanglement
  • Mathematical foundations of quantum computing

Overview of Quantum Computing

  • Differentiating quantum computing and classical electronic computing
  • Integrating quantum behaviors into quantum computing
  • The Qubit
  • Implementing the Dirac notation
  • Computational basis measurements in quantum computing
  • Quantum circuits and quantum oracles

Working with Vectors and Matrices in Quantum Computing

  • Matrix multiplication using quantum physics
  • Conventions of tensor products

Applying Advanced Matrix Concepts to Quantum Computing

Overview of Quantum Computers and Quantum Simulators

  • The quantum hardware and its components
  • Running a quantum simulator
  • Executable quantum mechanisms in a quantum simulation
  • Performing quantum computations in a quantum computer

Working with Quantum Computing Models

  • Logic and functions of different quantum gates
  • Understanding superposition and entanglement effects on quantum gates

Utilizing Shor’s Algorithm and  Quantum Computing Cryptography

Implementing Grover’s Algorithm in Quantum Computing

Estimating a Quantum Phase in a Quantum Computer

  • The quantum Fourier transform

Writing Basic Quantum Computing Algorithms and Programs for a Quantum Computer

  • Utilizing the right tools and language for quantum computing
  • Setting up quantum circuits and specifying quantum gates
  • Compiling and Running Quantum Algorithms and Programs in a Quantum Computer
  • Testing and Debugging Quantum Algorithms and Quantum Computer Programs
  • Identifying and Correcting Algorithm Errors Using Quantum Error Correction (QEC)
  • Overview of Quantum Computing Hardware and Architecture
  • Integrating Quantum Algorithms and Programs with the Quantum Hardware
  • Troubleshooting
  • Advancing Quantum Computing for Future Quantum Information Science Applications

Summary and Conclusion


  • Knowledge of mathematical methods in probability and linear algebra
  • Comprehension of foundational computer science theories and algorithms
  • An understanding of elementary quantum physics concepts
  • Basic experience with quantum mechanics models and theories


  • Computer Scientists
  • Engineers