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Quantum Computing with Qiskit Ultimate Masterclass

4.2 Filled star Filled star Filled star Filled star Empty star
Based on 348 ratings
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Srinjoy Ganguly

Please note that more lecture videos, quizzes, and LaTeX formatted clean notes are being uploaded in the course

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Please note that more lecture videos, quizzes, and LaTeX formatted clean notes are being uploaded in the course

Fascinated by Quantum Computing and it's science fiction like capabilities? Then you arrived at the right place, this course is designed for you. Quantum Computing is the intersection of computer science, mathematics and quantum physics which utilizes the phenomena of quantum mechanics to perform computations which classical computers cannot perform. Quantum computers are faster than classical computers and provides significant speedup in different kinds of algorithms such as searching data elements or breaking RSA encryption systems.

It is expected that the Quantum Computing industry is going to grow at a rapid rate from around USD 500 million in 2021 to nearly8 billion. ) by 2026. Various industries such as banking, finance, space technology, defense, healthcare, pharmaceuticals, chemicals, energy, power, transportation, logistics, academia and government are going to do well out of this cutting-edge technology.

Several countries such as USA, China, Japan, UK, France, Germany, Spain, South Korea, India and Canada are investing large amounts of finances in the field of quantum computing due to its promising potential which is also going to create more jobs in this field. There is a huge talent deficit in the field of quantum computing and therefore much efforts and investments (in billions) have been put by various industries working on quantum computing through education and research. Some of the prominent players in quantum computing includes - IBM, Microsoft, Google, Intel, D-Wave, Xanadu Quantum Technologies, Rigetti Computing, Zapata Computing, Honeywell, IonQ, Cambridge Quantum, Oxford Quantum Circuits and many more.

This is a masterclass hands-on (practical coding) and theoretical course on quantum computing which will introduce you to the fundamentals of quantum computing and you will implement several important quantum algorithms which has practical real life use cases.

Just as Deep Learning, Machine Learning, Data Science or Artificial Intelligence became popular a few years back due to the availability of data sets and technology (GPUs and TPUs), in a very similar manner, the field quantum computing is witnessing rapid growth and is going to have a major impact in your lives through the release of products or services by industries. This is the time to make yourself future proof and remain ahead of others.

The course has been divided into the following parts which has a coherent structure to help you navigate according to your requirements:

  • Part 1 - Introduction to Classical Computing

  • Part 2 - Mathematical Pre-requisites for Quantum Computing - Trigonometry, Complex Numbers, Linear Algebra and Probability

  • Part 3 - Quantum Mechanics for Quantum Computing

  • Part 4 - Introduction to Quantum Computing

  • Part 5 - Single Qubit Quantum Gates

  • Part 6 - Multi Qubit Quantum Gates

  • Part 7 - Constructing Quantum Circuits using Quantum Gates

  • Part 8 - Quantum Teleportation

  • Part 9 - Quantum Superdense Coding

  • Part 10 - Deutsch's Algorithm

  • Part 11 - Deutsch-Jozsa Algorithm

  • Part 12 - Bernstein-Vazirani Algorithm

  • Part 13 - Simon's Algorithm

  • Part 14 - Grover's Search Algorithm

  • Part 15 - Quantum Fourier Transform (QFT)

  • Part 16 - Quantum Phase Estimation (QPE)

  • Part 17 - Shor's Algorithm

This course is exciting and full of practical exercises to help you reinforce the concepts which you learn in each of the topics. You will be utilizing the IBM Qiskit and Python platform to construct the quantum circuits and various algorithms.

I am feeling very exuberant about Quantum Computing as it has already started to disrupt industries and research. I can't wait to see you inside the course. I hope to see you soon in the course.

Srinjoy GangulyFounder & CEOAdroitERA (AERA)

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What's inside

Learning objectives

  • Learn the fundamentals of mathematics and physics behind quantum computing
  • Explore core concepts of quantum computing - superposition, interference and entanglement
  • Learn about quantum gates and construct quantum circuits with ibm qiskit
  • Learn quantum gate decomposition and quantum circuit optimization of large quantum circuits
  • Learn quantum teleportation and superdense coding with their implementation using ibm qiskit
  • Run your quantum programs on a real ibm quantum computer
  • Learn and gain background to think and analyze about quantum algorithms
  • Gain confidence to tackle quantum programming challenges organized by quantum computing companies

Syllabus

Course Overview

Why Learn Quantum Computing - The Motivation

Please find the handwritten and LaTeX notes attached with this lecture

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Applications of Quantum Computing

Please find the handwritten and LaTeX notes attached with this lecture

Quantum Computing vs Classical Computing

Please find the handwritten and LaTeX notes attached with this lecture

Introducing Classical Computing Hardware

Please kindly find the handwritten and LaTeX notes attached with this lecture.

Digital Logic and Operations

Please find the handwritten and LaTeX notes attached with this lecture

Complexity of Algorithms

Please kindly find the handwritten and LaTeX notes attached with this lecture

Linear Algebra Latex Notes

The questions contained in this practice exam are similar to those which will be asked in the IBM Quantum Developer Certification Exam.

It is strongly recommended that you attempt the test without running the code in the Jupyter Notebooks because in the real exam NO Jupyter notebooks will be provided to answer the questions.

Please use your concepts and understanding to answer the questions. All the very best!

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores quantum algorithms with practical real-life use cases, providing learners with tangible skills applicable to emerging quantum technologies
Covers mathematical prerequisites like linear algebra, trigonometry, and complex numbers, which are essential for understanding quantum computing concepts
Utilizes IBM Qiskit and Python for constructing quantum circuits and algorithms, which are industry-standard tools and languages
Includes practice exams with questions similar to those in the IBM Quantum Developer Certification Exam, offering targeted preparation
Requires familiarity with linear algebra, complex numbers, and probability, which may necessitate additional study for some learners
Examines several quantum algorithms, including Deutsch's, Deutsch-Jozsa, Bernstein-Vazirani, Simon's, Grover's, Shor's, and Quantum Fourier Transform

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Reviews summary

Comprehensive quantum computing with qiskit

According to learners, this course provides a comprehensive introduction to quantum computing, covering everything from fundamental mathematical and physics prerequisites to implementing key quantum algorithms using IBM Qiskit. Many students find the course well-structured and appreciate the hands-on coding exercises. While some find the pace or difficulty challenging depending on their background, the course is widely seen as providing a solid foundation for both understanding the theory and gaining practical skills, including preparation for the IBM certification exam. The material is considered highly relevant for those pursuing a career in the field.
Pace varies, difficulty depends on background.
"The pace was just right for me, building concepts gradually."
"Some sections moved very quickly, especially when getting into the algorithms."
"Definitely challenging, but manageable if you put in the time and effort."
"Might be too slow for those already familiar with the math/physics parts."
Helpful but can be challenging for some.
"Appreciated the refreshers on linear algebra and complex numbers, though some parts were quick."
"The math and physics sections are necessary but can be a bit dense if you're new to the concepts."
"For someone without a strong math background, these initial sections require extra effort."
"Good attempt to cover prerequisites, making it accessible to a wider audience."
Useful for IBM exam preparation.
"The course content aligns well with topics needed for the IBM Quantum Developer Certification."
"The practice questions provided were very similar to those on the actual exam."
"Felt much more prepared for the IBM certification after completing this course."
"Highly recommend this for anyone aiming for the IBM Qiskit certification."
Practical coding exercises are highlighted.
"Implementing the algorithms in Qiskit was incredibly helpful for solidifying the concepts."
"The Jupyter notebooks provided were essential for hands-on learning."
"I really enjoyed the practical application using IBM's Qiskit platform."
"Getting to run circuits and algorithms using real quantum computing tools is a major plus."
Covers theory, math/physics, and algorithms.
"The course covers a lot of ground, from the basics of linear algebra and quantum mechanics to implementing complex algorithms."
"Very comprehensive, starting from classical computing and building up through the necessary math and physics."
"It really is a masterclass, touching upon many essential aspects needed to understand QC deeply."
"I found the journey from prerequisites to algorithms logical and thorough."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Quantum Computing with Qiskit Ultimate Masterclass with these activities:
Review Linear Algebra Fundamentals
Strengthen your understanding of linear algebra, a crucial foundation for quantum computing concepts like qubits and quantum gates.
Browse courses on Linear Algebra
Show steps
  • Review vector and matrix operations.
  • Practice solving eigenvalue and eigenvector problems.
  • Study linear transformations and their matrix representations.
Brush Up on Complex Numbers
Reinforce your knowledge of complex numbers, essential for representing quantum states and understanding quantum mechanics.
Browse courses on Complex Numbers
Show steps
  • Review the arithmetic of complex numbers.
  • Practice converting between Cartesian and polar forms.
  • Study the geometric interpretation of complex numbers.
Qubit and Quantum Gate Study Group
Collaborate with peers to solidify your understanding of qubits and quantum gates through discussions and problem-solving.
Show steps
  • Form a study group with classmates.
  • Review the definitions and properties of qubits and quantum gates.
  • Work through practice problems together.
  • Explain concepts to each other to reinforce understanding.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Quantum Circuit Construction Exercises
Practice constructing quantum circuits using Qiskit to gain hands-on experience with quantum gate implementation.
Show steps
  • Set up a Qiskit environment.
  • Work through example quantum circuit construction problems.
  • Experiment with different gate combinations to achieve desired transformations.
  • Debug and optimize your circuits for efficiency.
Quantum Computation and Quantum Information
Supplement your learning with a deep dive into the theory and applications of quantum computing using a classic textbook.
View Quantum Computation and Quantum Information on Amazon
Show steps
  • Obtain a copy of 'Quantum Computation and Quantum Information'.
  • Read relevant chapters to reinforce course concepts.
  • Work through the exercises and examples in the book.
Simulate Quantum Teleportation
Implement quantum teleportation using Qiskit to deepen your understanding of quantum entanglement and circuit design.
Show steps
  • Research the quantum teleportation algorithm.
  • Design a quantum circuit to implement teleportation.
  • Simulate the circuit using Qiskit.
  • Analyze the results and verify the teleportation process.
Explain Shor's Algorithm
Create a presentation or write a blog post explaining Shor's algorithm to solidify your understanding of its steps and implications.
Show steps
  • Research Shor's algorithm and its mathematical foundations.
  • Break down the algorithm into understandable steps.
  • Create visuals to aid in explaining the algorithm.
  • Present your explanation to others or publish it online.

Career center

Learners who complete Quantum Computing with Qiskit Ultimate Masterclass will develop knowledge and skills that may be useful to these careers:
Quantum Software Developer
A quantum software developer designs, develops, and tests quantum software. Quantum software developers often work with quantum hardware engineers to bring quantum computing to real-world applications. This course helps build a foundation in the fundamentals of quantum computing, covering mathematical prerequisites like linear algebra, and introducing concepts such as quantum gates and quantum circuits. The course also teaches students to use IBM Qiskit and Python, which are essential tools as a quantum software developer.
See salaries and explore the career path for Quantum Software Developer
Quantum Algorithm Researcher
A quantum algorithm researcher explores and develops new quantum algorithms that can solve complex problems faster than classical algorithms. This role typically requires an advanced degree. The course provides an introduction to several important quantum algorithms such as Deutsch's Algorithm, Grover's Search Algorithm, and Shor's Algorithm, which are critical for anyone aspiring to become a quantum algorithm researcher. The knowledge of Quantum Fourier Transform and Quantum Phase Estimation from this course is helpful in designing and analyzing quantum algorithms.
See salaries and explore the career path for Quantum Algorithm Researcher
Quantum Computing Engineer
A quantum computing engineer focuses on the hardware and software aspects of quantum computers. This job involves designing and implementing quantum systems, optimizing quantum circuits, and working with quantum devices. This course helps build a solid foundation in the principles of quantum computing including quantum gates, quantum circuits and optimization, which are crucial for a quantum computing engineer. Practical exercises using IBM Qiskit allow learners to gain hands-on experience in constructing quantum circuits, which is a vital skill.
See salaries and explore the career path for Quantum Computing Engineer
Quantum Research Scientist
A quantum research scientist conducts research in quantum computing, exploring new quantum phenomena and developing innovative quantum technologies. This position often requires a PhD. The course provides a comprehensive introduction to quantum computing, quantum mechanics, and quantum algorithms. The course's focus on the mathematical foundations and the implementation of quantum algorithms using IBM Qiskit may be useful to a research scientist in the field of quantum computing.
See salaries and explore the career path for Quantum Research Scientist
Quantum Data Scientist
A quantum data scientist leverages quantum computing to enhance data analysis, machine learning, and optimization tasks. This requires a strong background in both quantum computing and data science. The course provides insights into quantum algorithms and their potential applications in data analysis. Learning about Quantum Fourier Transform and Grover's Search Algorithm may be useful, since they have applications in quantum machine learning and data processing, which are important tools for a quantum data scientist.
See salaries and explore the career path for Quantum Data Scientist
Quantum Cryptographer
A quantum cryptographer develops and implements quantum-resistant cryptographic solutions to protect sensitive information from quantum attacks. The course covers essential quantum algorithms like Shor's Algorithm, which is known for its ability to break RSA encryption. This knowledge may be useful for a quantum cryptographer in designing and implementing new cryptographic protocols that are secure against quantum computing attacks. This course introduces quantum teleportation and superdense coding.
See salaries and explore the career path for Quantum Cryptographer
Quantum Educator
A quantum educator teaches quantum computing concepts to students and professionals, contributing to the growth of the quantum workforce. The course provides a structured and comprehensive overview of quantum computing, covering both theoretical foundations and practical implementations. The course's detailed coverage of various quantum algorithms and its hands-on exercises using IBM Qiskit enable a quantum educator to effectively teach and demonstrate quantum computing principles.
See salaries and explore the career path for Quantum Educator
Quantum Consultant
A quantum consultant advises organizations on how to leverage quantum computing to solve complex business problems and gain a competitive edge. This role demands a broad understanding of quantum technologies and their potential applications. The course introduces various quantum algorithms and their use cases, which enables a quantum consultant to identify and recommend appropriate quantum solutions for different industries. The course may also be useful for assessing the potential impact of quantum computing on an organization.
See salaries and explore the career path for Quantum Consultant
Quantum Research Engineer
A quantum research engineer applies engineering principles to design, develop, and test quantum computing systems and components. This involves working with quantum hardware, software, and control systems. The course helps build a foundation in quantum mechanics, quantum gates, and quantum circuits, which are essential for creating and optimizing quantum systems. Practical experience gained through Qiskit may be useful in the design and testing of quantum hardware.
See salaries and explore the career path for Quantum Research Engineer
Quantum System Architect
A quantum system architect designs and oversees the development of complex quantum computing systems, ensuring that all components work together efficiently. This position requires a deep understanding of quantum hardware and software. The course covers the fundamentals of quantum computing, including quantum gates and quantum circuits, which may be useful in designing and optimizing quantum systems. The course also provides insights into quantum circuit optimization, which is crucial for building scalable quantum computers.
See salaries and explore the career path for Quantum System Architect
Computational Physicist
A computational physicist uses computational methods to solve complex physics problems, including those in quantum mechanics and quantum computing. This typically requires an advanced degree. The course provides a thorough introduction to the quantum mechanics and linear algebra, which are essential tools for a computational physicist working in the field of quantum computing. Learning about quantum algorithms and their applications may be valuable to a developing their understanding of quantum simulations and modeling.
See salaries and explore the career path for Computational Physicist
Machine Learning Engineer
A machine learning engineer develops and implements machine learning models and algorithms. While traditionally focused on classical computing, there is growing interest in quantum machine learning. The course introduces quantum algorithms and their potential applications in machine learning. The knowledge of Quantum Fourier Transform and Grover's Search Algorithm may be useful, as they have applications in quantum machine learning, which is important for a machine learning engineer.
See salaries and explore the career path for Machine Learning Engineer
Software Engineer
A software engineer designs, develops, and maintains software applications. While quantum computing is a specialized field, software engineers can apply their skills to develop quantum software tools and libraries. The course introduces quantum computing concepts and provides hands-on experience with IBM Qiskit, which can expand a software engineer's skill set and enable them to contribute to the quantum computing ecosystem. Learning about quantum algorithms may be useful for those interested in developing quantum applications.
See salaries and explore the career path for Software Engineer
Data Analyst
A data analyst analyzes data to identify trends, patterns, and insights that can inform business decisions. The course provides an introduction to quantum computing and its potential applications in data analysis. The knowledge of quantum computing may be useful for data analysts who want to explore the use of quantum algorithms for data processing and optimization tasks. This is particularly relevant as quantum computing becomes more accessible and applicable to real-world problems.
See salaries and explore the career path for Data Analyst
Financial Analyst
Financial analysts analyze financial data, provide investment recommendations, and manage financial risk. In the future, quantum computing may have a significant impact on the financial industry. The course provides an overview of quantum computing concepts and algorithms, which helps a financial analyst understand the potential applications of quantum computing in finance, such as portfolio optimization and risk management. The fundamental exploration of linear algebra may be useful.
See salaries and explore the career path for Financial Analyst

Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Quantum Computing with Qiskit Ultimate Masterclass.
Cover image
Quantum Computation and Quantum Information
Save
Comprehensive and widely used textbook on quantum computation and quantum information theory. It covers the mathematical foundations, quantum algorithms, and physical implementations of quantum computers. It is often used as a primary textbook in university courses and provides a deep dive into the subject matter. This book will add more depth to the existing course.
Quantum Computation and Quantum Information
Paperback
Check
Quantum Computation and Quantum Information
Kindle Edition
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Rating
4.2 Filled star Filled star Filled star Filled star Empty star
Effort
17 total hours
Via
Udemy
Instructor
Srinjoy Ganguly
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores quantum algorithms with practical real-life use cases, providing learners with tangible skills applicable to emerging quantum technologies
Covers mathematical prerequisites like linear algebra, trigonometry, and complex numbers, which are essential for understanding quantum computing concepts
Utilizes IBM Qiskit and Python for constructing quantum circuits and algorithms, which are industry-standard tools and languages
Includes practice exams with questions similar to those in the IBM Quantum Developer Certification Exam, offering targeted preparation
Requires familiarity with linear algebra, complex numbers, and probability, which may necessitate additional study for some learners
Examines several quantum algorithms, including Deutsch's, Deutsch-Jozsa, Bernstein-Vazirani, Simon's, Grover's, Shor's, and Quantum Fourier Transform
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