CARLA 2024

Instructor: José David Bañuelos Aquino

Affiliation: Mechatronic engineer with a master´s degree in IT who has worked in the industry as an Applications engineer. Sr., analyst of new technological trends,

Brief Program:

  • Introduction
  • Meet the instructor.
  • High performance computing, cloud, and data centers.
  • Transistors and miniaturization.
  • Quantum information theory.
  • Qubit.
  • Q-Team.
  • Quantum Gates.
  • Phase shift.
  • Controlled gates.
  • Quantum circuits.
  • Quantum computing from classical computing.
  • Most Common Algorithms.

Simulating quantum algorithms with Q-Team

Information

A brief description of what is quantum computing, why is necessary and which kind of problems can solve, how to make a transition from classic computing to the quantum computing using the Q-team simulator.

Identify the Q-team elements that aims to develop quantum algorithms across the graphic and programming environment, how to document the algorithms and results export.

Student´s prerequisites

  • Basic Linux knowledge
  • Linear algebra.
  • Combinational logic.

Materials

A laptop with the following resources

  • Processor: Core i3 (similar or higher).
  • RAM: 8GB (or higher).
  • Hard disk: at least 50 GB free.
  • Web browser: Firefox or Chromium based (Chrome, Edge, Brave, etc.).

Previous editions

  • Global opportunities consulting.
  • CADS (Centro de Análisis de Datos y Supercómputo).

References

https://www.q-team.mx/

More information: T03-Simulating quantum algorithms with Q-Team