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2 Months/20 Hour Price:165,000
160,000
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
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$
Job Interview Preparation (Soft Skills Questions & Answers)
Tough Open-Ended Job Interview Questions
What to Wear for Best Job Interview Attire
Job Interview Question- What are You Passionate About?
How to Prepare for a Job Promotion Interview
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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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