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by fatima
Price: 160,000
2 Months/ 20 Hours
0 Lessons

Quantum Computing Training

Quantum computing is a rapidly evolving field that requires specialized training to effectively harness its power. Quantum computing training programs are designed to equip professionals with the knowledge and skills needed to develop and implement quantum algorithms, software, and hardware. By completing a quantum computing training program, individuals can gain a competitive edge in their careers and be well-prepared to tackle the complex challenges and opportunities presented by this emerging technology

Key Learnings:

  • Introduction to the fast-growing field of quantum computing.
  • Studying the structural units of quantum computers of the future, forming an understanding of the differences between quantum bits and classical bits.
  • Study of basic quantum logical operations and algorithms for processing quantum information.
  • Mastering basic knowledge about the practical use of quantum algorithms and quantum programming skills.

Course Content:

Introduction to Quantum Computing

  • What is Quantum Computing?
  • Quantum Mechanics
  • Qubits and Quantum Memory
  • Elementary Gates

Module 2: Overview of Circuit Model and Deutsch-Jozsa

  • Classical Circuits
  • Quantum Circuits
  • Universality of Various Sets of Elementary Gates
  • Quantum Parallelism
  • Early Algorithms

Module 3: Simon’s Algorithm and Fourier Transform

  • Simon’s Algorithm
  • Problem
  • Quantum Algorithm
  • Classical Algorithms for Simon’s Problem

Module 4: Fast Fourier Transform

  • Classical Discrete Fourier Transform
  • Fast Fourier Transform
  • Application: Multiplying Two Polynomials
  • Quantum Fourier Transform

Module 5: Shor’s Factoring Algorithm

  • Factoring
  • Shor’s Period-Finding Algorithm
  • Continued Fractions

Module 6: Hidden Subgroup Problem

  • Group Theory Reminder
  • A General Algorithm for Abelian HSP
  • Non-Abelian QFT on Coset States

Module 7: Grover’s Search and Quantum Walk Algorithm

  • Grover’s Algorithm
  • Amplitude Amplification
  • Quantum Walk
  • Applications

Module 8: Hamiltonian Simulation and HHL Algorithm

  • Hamiltonians
  • Methods of Hamiltonian Simulation

Module 9: Introduction to HHL Algorithm

  • What is HHL Algorithm?
  • Linear System Problem
  • HHL Algorithm for Linear Systems
  • Improving HHL Algorithm Complexity

Module 10: Quantum Query Lower Bounds

  • Introduction
  • Polynomial Method
  • Quantum Adversary Method

Module 11: Quantum Complexity Theory

  • Introduction to Quantum Complexity Theory
  • Classical and Quantum Complexity Classes
  • Classically Simulating Quantum Computers in Polynomial Space

Module 12: Quantum Encodings with a Non-Quantum Application

  • Mixed States and General Measurements
  • Quantum Encodings and Their Limits
  • Lower Bounds on Locally Decodable Codes

Module 13: Quantum Communication Complexity

  • Classical Communication Complexity
  • Quantum Question

Module 14: Entanglement and Non-Locality

  • Quantum Non-Locality
  • CHSH: Clauser-Horne-Shimony-Holt
  • Magic Square Game

Module 15: Introduction to Quantum Cryptography

  • Quantum Key Distribution
  • Reduced Density Matrices and the Schmidt Decomposition
  • Impossibility of Perfect Bit Commitment

Module 16: Error-Correction and Fault-Tolerance

  • Introduction
  • Classical Error-Correction
  • Quantum Errors
  • Quantum Error-Correcting Codes
  • Fault-Tolerant Quantum Computation
  • Concatenated Codes and the Threshold Theorem

Who this course is for:
  • Students who want to learn about Quantum Computing
  • Students who want to learn about Python
  • Quantum Computing enthusiasts

International Student Fee: 600$

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Flexible Class Options

  • Week End Classes For Professionals  SAT | SUN
  • Corporate Group Trainings Available
  • Online Classes – Live Virtual Class (L.V.C), Online Training

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