Quantum Computing Training Overview

Quantum Computing Course Outline

Module 1: 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

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Who should attend this Quantum Computing Training Course?

The Quantum Computing Training Course is designed for those who want to get better at understanding the basics and implementation techniques of Quantum Computing. The Quantum Computing Training Course can benefit the following professionals:

  • Software Developers
  • Data Scientists
  • Mathematicians
  • Computer Scientists
  • Researchers
  • Financial Analysts
  • Telecommunications Experts 

Prerequisites of the Quantum Computing Training Course

There are no formal prerequisites for this Quantum Computing Course.

Quantum Computing Course Overview

Quantum Computing is the field focused on developing computer technology based on quantum theory principles. Quantum computers can process massive and complicated datasets more efficiently as compared to classical computers. Quantum computers use quantum mechanics fundamentals to speed up the process of solving complex computations.

This Quantum Computing Training is designed to provide knowledge of Quantum mechanics and practical applications of Quantum computing. Delegates will learn about classical circuits and quantum circuits. In addition, delegates will understand the concepts of quantum parallelism and the quantum algorithm. Delegates will explore Simon’s algorithm as well as Shor’s factoring algorithm.

During this 1-day training course by The Knowledge Academy, delegates will gain knowledge on Hamiltonian simulation and three methods under it. Delegates will also acquire knowledge on the basics of HHL algorithm for a linear system. Furthermore, delegates will get an understanding of how to improve the HHL algorithm complexity. Post completion of this training, delegates will be able to identify Quantum errors, concatenate codes and the threshold theorem.

Course Objectives:

  • To grasp fundamental principles of quantum mechanics applied in computing
  • To implement quantum algorithms through practical hands-on exercises
  • To gain proficiency in quantum programming languages and tools
  • To understand the real-world applications and potential impact of quantum computing
  • To foster collaboration and knowledge-sharing in the evolving field

Upon completion, delegates will possess a deep understanding of quantum computing principles, hands-on experience with quantum algorithms, and the skills needed to contribute to advancements in this transformative field.

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What’s included in this Introduction to Quantum Computing Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Quantum Computing Certificate
  • Digital Delegate Pack

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Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Quantum Computing Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Quantum Computing Training, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Experience the most sought-after learning style with The Knowledge Academy's Quantum Computing Training. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Quantum Computing Training sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy’s In-house/Onsite Quantum Computing Training at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our Quantum Computing Training offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Quantum Computing Training FAQs

Quantum Computing leverages principles of quantum mechanics to perform complex computations using qubits. Unlike classical bits, qubits can exist in multiple states simultaneously, enabling parallel processing and potential advancements in computation.
Quantum Computing is crucial due to its potential to solve complex problems exponentially faster than classical computers. Its impact spans fields like cryptography, optimisation, and drug discovery, revolutionising technological capabilities.
This Quantum Computing Course offers profound insights into quantum principles, fostering expertise in cutting-edge technology. Benefits include enhanced problem-solving skills, potential for groundbreaking innovations, and a competitive edge in evolving industries.
There are no prerequisites for attending this course. However, a basic knowledge of linear algebra and quantum mechanics would be beneficial.
Anyone who wishes to gain an understanding of the implications of Quantum Computing can attend this course.
Our Quantum Computing Certification Course includes a digital delegate pack, training sessions under experienced trainers, and a certificate upon completion of the course.
We are able to provide support via phone & email prior to attending, during and after the course.
This Quantum Computing Course spans across 1 day.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
Yes, upon successful completion of the Certification Course, you will receive a certification acknowledging your achievement.
The training fees for Quantum Computing Training certification in the United Kingdom starts from £1995
The Knowledge Academy is the Leading global training provider for Quantum Computing Training.
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Why choose us

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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