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Chuck Bates

You've likely heard of quantum computing, and all it's fantastical promises, but probably don't know where to get started in this emerging field. This course will teach you all you need to know to get started with Q# and jump right in.

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You've likely heard of quantum computing, and all it's fantastical promises, but probably don't know where to get started in this emerging field. This course will teach you all you need to know to get started with Q# and jump right in.

Would you like to gain the ability to start designing your own quantum algorithms? In this course, Quantum Computing: Getting Started with Q#, you will learn foundational knowledge of quantum computing principles. First, you will learn quantum superposition. Next, you will discover quantum entanglement and teleportation. Finally, you will explore how to design quantum algorithms. When you’re finished with this course, you will have the skills and knowledge of quantum computing with Q# needed to begin designing your own quantum algorithms.

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What's inside

Syllabus

Course Overview
Getting Started with the Microsoft Quantum Development Kit
Quantum Phenomena: Superposition
Quantum Phenomena: Entanglement
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Quantum Phenomena: Teleportation
Exploring Additional Quantum Algorithms

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores Quantum phenomena: Superposition, which is foundational to quantum computing
Examines Quantum phenomena: Entanglement, which is essential for quantum computation
Covers Quantum phenomena: Teleportation, which is significant for quantum communication
Surveys additional quantum algorithms, expanding knowledge of this emerging field

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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: Getting Started with Q# with these activities:
Read 'Quantum Computing for Everyone' by Chris Ferrie
This book provides a clear and concise introduction to quantum computing concepts, making it a great resource for beginners.
Show steps
  • Read the book.
  • Take notes on the key concepts.
  • Discuss the book with a classmate or instructor.
Find a mentor in quantum computing
Finding a mentor can provide you with guidance, support, and valuable insights into the field of quantum computing.
Browse courses on Quantum Computing
Show steps
  • Identify potential mentors.
  • Reach out to your potential mentors and introduce yourself.
  • Ask your mentors for guidance and support.
Follow online tutorials on quantum computing
Follow online tutorials to supplement the course material and gain a deeper understanding of quantum computing concepts.
Browse courses on Quantum Computing
Show steps
  • Find a reputable online tutorial on quantum computing.
  • Follow the tutorial step-by-step.
  • Complete the exercises and examples provided in the tutorial.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Work through practice problems in Q#
Working through practice problems in Q# will help you develop your programming skills and apply the concepts you've learned.
Browse courses on Quantum Computing
Show steps
  • Find a set of practice problems in Q#.
  • Attempt to solve the problems on your own.
  • Check your solutions against the provided answers or ask for help from a tutor or instructor.
Solve quantum computing problems
Solve quantum computing problems to reinforce your understanding of the concepts discussed in the course.
Browse courses on Quantum Computing
Show steps
  • Identify a quantum computing problem to solve.
  • Design a quantum algorithm to solve the problem.
  • Implement the algorithm in Q#.
  • Test and debug the implementation.
Join a study group for quantum computing
Joining a study group can provide you with support, accountability, and different perspectives on the material.
Browse courses on Quantum Computing
Show steps
  • Find a study group for quantum computing.
  • Attend study group meetings regularly.
  • Participate actively in discussions.
Create a presentation on quantum computing
Creating a presentation on quantum computing will help you synthesize your knowledge and improve your communication skills.
Browse courses on Quantum Computing
Show steps
  • Choose a topic for your presentation.
  • Research your topic thoroughly.
  • Structure your presentation logically.
  • Design visually appealing slides.
  • Practice your presentation.
Volunteer at a quantum computing lab
Volunteering at a quantum computing lab will provide you with hands-on experience and the opportunity to learn from experts in the field.
Browse courses on Quantum Computing
Show steps
  • Find a quantum computing lab that offers volunteer opportunities.
  • Apply for a volunteer position.
  • Complete the required training.
  • Assist with research projects or other lab activities.

Career center

Learners who complete Quantum Computing: Getting Started with Q# will develop knowledge and skills that may be useful to these careers:
Quantum Algorithm Engineer
This course is a great introduction for a Quantum Algorithm Engineer because it teaches you all you need to know to get started with Q#, a quantum programming language. You'll learn about quantum superposition, quantum entanglement, and quantum teleportation, which are all essential concepts for designing quantum algorithms.
Quantum Software Engineer
Quantum Computing: Getting Started with Q# is a great starting point as it introduces you to the basics of quantum computing, including quantum superposition, entanglement, and teleportation, and provides a solid foundation for building a career as a Quantum Software Engineer.
Quantum Computing Research Scientist
Quantum Computing: Getting Started with Q# can help you build a strong foundation for a career as a Quantum Computing Research Scientist. The course covers the basics of quantum computing, including quantum superposition, entanglement, and teleportation, which are all essential concepts for research in this field.
Quantum Computing Architect
Quantum Computing: Getting Started with Q# can be a great resource for those interested in becoming Quantum Computing Architects as it provides a comprehensive introduction to the field, covering topics such as superposition, entanglement, and teleportation, all of which are relevant to the design and implementation of quantum computing systems.
Quantum Computing Consultant
As a Quantum Computing Consultant, you'll need to have a strong understanding of the fundamentals of quantum computing, and this course provides a solid foundation. You'll learn about quantum superposition, entanglement, and teleportation, which are all key concepts in the field.
Quantum Systems Analyst
This course may be useful for aspiring Quantum Systems Analysts as it provides an introduction to the basics of quantum computing, including superposition, entanglement, and teleportation.
Data Scientist
Quantum Computing: Getting Started with Q# may be of interest to Data Scientists as it introduces the fundamentals of quantum computing, which has the potential to revolutionize data analysis and machine learning.
Software Developer
While not specifically tailored to Software Developers, Quantum Computing: Getting Started with Q# may be of interest to those interested in exploring the potential of quantum computing in software development.
Computer Scientist
For Computer Scientists interested in exploring quantum computing and its potential impact on the field, Quantum Computing: Getting Started with Q# provides a solid introduction to the basics.
Systems Engineer
This course may be useful for Systems Engineers who want to gain a basic understanding of quantum computing and its potential applications in systems design.
Theoretical Physicist
For Theoretical Physicists interested in exploring the intersection of quantum mechanics and computing, Quantum Computing: Getting Started with Q# provides a practical introduction to the field.
Mathematician
Mathematicians interested in applying their skills to the field of quantum computing may find Quantum Computing: Getting Started with Q# to be a helpful resource.
Electrical Engineer
While not directly related to Electrical Engineering, Quantum Computing: Getting Started with Q# may be of interest to those curious about the potential applications of quantum computing in the field.
Mechanical Engineer
Quantum Computing: Getting Started with Q# is not directly relevant to Mechanical Engineering, but it may be of interest to those curious about the broader field of quantum computing.
Biomedical Engineer
Quantum Computing: Getting Started with Q# is not specifically related to Biomedical Engineering, but it may be of interest to those interested in exploring the potential applications of quantum computing in medicine and healthcare.

Reading list

We've selected seven 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: Getting Started with Q#.
This comprehensive textbook on quantum computation and quantum information. It covers a wide range of topics, from the basics of quantum mechanics to the latest advances in quantum computing algorithms.
Is an accessible and enjoyable introduction to the concepts of quantum computing. It is written in a clear and conversational style, and it good choice for readers who are new to the field.
Provides a thorough overview of the principles of quantum computing. It covers a wide range of topics, from the basics of quantum mechanics to the latest advances in quantum computing hardware and software.
Provides a good introduction to quantum computing for computer scientists. It focuses on how to write and run quantum algorithms, and it covers a wide range of topics, including quantum gates, circuits, and algorithms.
Good introduction to quantum computing for a general audience. It covers the basic concepts of the field, and it provides a clear and concise explanation of the potential applications of quantum computing.
This textbook introduces the fundamental concepts of quantum computing, with a focus on linear algebra. It provides a clear and concise introduction to the subject, and it good resource for students and researchers alike.
Practical guide to quantum computing for developers and engineers. It provides clear and concise instructions on how to write and run quantum algorithms, and it good resource for anyone who wants to learn more about the field.

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