Practice Quantum Computing | Brilliant

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En bref

Ajouté le

17 mars 2026

Matière et domaine

computer-science-advanced · quantum-computing

Niveaux scolaires

9e année (3e)–12e année (Terminale)

Type de page

Course

Introduction

Brilliant: Quantum Computing Course Overview

  • Course Objective: Learn to build quantum algorithms from the ground up using an in-browser quantum computer simulator.
  • Collaborators: Developed in partnership with quantum researchers and practitioners from Microsoft, X, and Caltech's IQIM.
  • Learning Outcomes:
    • Understand how to exploit the laws of quantum mechanics for computation.
    • Gain proficiency in quantum information and quantum circuits.
    • Write at least 100 lines of quantum code.
    • Focus on practical application rather than deep theoretical physics.
  • Prerequisites: A basic understanding of linear algebra (specifically 2x2 matrices); familiarity with fundamental computer science principles is helpful but not required.
  • Key Topics Covered:
    • Foundations: Bits, qubits, gates, superpositions, and the Bloch sphere.
    • Advanced Concepts: Entanglement, unitary transformations, and quantum communication (teleportation, superdense coding).
    • Algorithms & Complexity: Quantum parallelism, oracles, spin systems, and the knapsack problem.
    • Applications: Codebreaking, drug development, and machine learning.

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