© Elephant Scale

May 11, 2023

Overview

• Quantum Computing, together Artificial Intelligence, are perhaps the two most promising and impactful areas of technology.
• Unlike AI, Quantum Computing has not come into general using, but its time is coming.
• Therefore, forward-looking companies are preparing for the Quantum Computing now.

Benefits

• After taking the course, participants will be able to

  • Explain the principles of quantum computing and quantum algorithms.
  • Understand quantum algorithms that are applicable to cryptography, chemist, materials science and other areas.
  • Be ready to lead the quantum computing revolution and estimate its feasibility for their applications.

Duration:

• Two days

Audience:

• computer scientists, physicists, and engineers.

Prerequisites

• Background in software engineering
• Familiarity with a programming language

Lab environment

• A working environment will be provided for students.

Course Outline:

Introduction

• Quantum physics facts
• Significance of the 2022 Nobel Prize
• Most promising quantum computing applications

Fundamentals of quantum computing programming

• Programming the IBM quantum computer: Qiskit library
• The quantum computing programming model
• The qubit
• System of qubits
• Superposition and entanglement
• Inner and outer products
• Measurements
• Unitary transformations and gates
• Observables and expectation values
• Quantum circuits
• Quantum algorithms
• Implementations on a real quantum computer
• The IBM quantum computer
• Classes of quantum algorithms

Grover’s Algorithm

• Problem definition and background
• Algorithm description
• Sample implementation

Shor’s Algorithm for Integer Factorization

• Problem definition and background
• Algorithm description
• Sample implementation

Conclusion

• Summary
• What’s next?