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Farhad Abdi
In this 2-hour long guided project, you will learn how to write codes for an actual Quantum Computer and execute it in both the simulated environment and on the actual Quantum Device. We will get familiar with the basics of quantum computation and understand their implementation in Python using the IBM Software Development Kit called Qiskit. The course is a multidisciplinary project for programmers, computer science and physics students and anyone interested in Quantum Computation. By the end of this project, you will be able to implement and comprehend a Quantum algorithm that outperforms its classical variants.
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Good to know

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Provides a hands-on introduction to quantum computing, enabling learners to implement and comprehend a quantum algorithm that outperforms its classical variants
Leverages Qiskit, IBM's Software Development Kit for quantum computing, to facilitate practical application
Designed for programmers, computer science and physics students, catering to a broad audience with varying backgrounds
Taught by Farhad Abdi, a recognized expert in quantum computation, ensuring high-quality instruction
Suitable for individuals interested in the cutting-edge field of quantum computation, offering valuable insights and practical skills

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Reviews summary

Quantum computing basics with qiskit

This 2-hour project-based learning teaches coders and programmers through hands-on experience with quantum computation using Qiskit. The course covers basics of quantum computation and executes codes in both simulated and actual quantum environments. Although the course can be too introductory for some students, most students find the hands-on approach to be useful in learning about the practical applications of quantum computers.
Instructor presents concepts clearly.
"Dr. Abdi does a great job walking thru steps and it quickly becomes a practical exercise in quantum encryption"
Strong entry level course.
"Excellent introduction to quantum mechanics programming."
"Good to get started with Qiskit"
"This course gives brief introduction to the basics of quantum computation Qiskit"
Learn by doing.
"This 2-hour long guided project, you will learn how to write codes for an actual Quantum Computer and execute it in both the simulated environment and on the actual Quantum Device."
"I would like to express my sincere gratitude to Coursera and Mr. Farhad Abdi for his sincere efforts."
"The cloud desktop has made learning very much interactive and effective for easy learning."
Audio quality is unclear.
"audio was not clear"
"The sound needs to be improved "
"Distorted Audio"
Surface level knowledge of Qiskit.
"I thought that this project was good but topics can be much more enduring"
"This is indeed a good course to understand QISKIT provided you have a basic familiarity of quantum physics."
"The material covered was pretty basic for an 'intermediate' course and is explained much more clearly in the official Qiskit YouTube videos."

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 Programming a Quantum Computer with Qiskit with these activities:
Review Python Programming Fundamentals
Refresh your knowledge of Python programming, including data types, control flow, and functions, to ensure you have a strong foundation for quantum computing with Python.
Browse courses on Python
Show steps
  • Review Python tutorials or documentation
  • Complete online coding challenges or practice exercises
Review Quantum Computing Concepts
Review the fundamental concepts of quantum computing, including quantum bits, entanglement, and quantum gates, to strengthen your understanding of the course material.
Show steps
  • Read introductory articles or textbooks on quantum computing
  • Watch video lectures or tutorials on the basics of quantum mechanics
Read 'Quantum Computing for Everyone'
Gain a high-level understanding of quantum computing concepts and their potential applications by reading this introductory book.
Show steps
  • Obtain a copy of the book
  • Read through the book, taking notes and highlighting key concepts
Six other activities
Expand to see all activities and additional details
Show all nine activities
Follow Online Quantum Computing Tutorials
Complete guided tutorials on quantum computing using Python and the Qiskit SDK to gain hands-on experience with quantum programming and simulation.
Browse courses on Quantum Computing
Show steps
  • Find online tutorials on quantum computing with Python and Qiskit
  • Follow the tutorials step-by-step, implementing and testing quantum algorithms
Solve Quantum Computing Practice Problems
Practice solving quantum computing problems, such as building quantum circuits or designing quantum algorithms, to reinforce your understanding and problem-solving skills.
Browse courses on Quantum Algorithms
Show steps
  • Find online platforms or resources that provide quantum computing practice problems
  • Attempt to solve the problems independently, referring to course materials or online resources as needed
  • Review and analyze your solutions, identifying areas for improvement
Participate in Study Groups or Online Forums
Join study groups or engage in online forums dedicated to quantum computing to discuss concepts, share knowledge, and collaborate with peers.
Browse courses on Quantum Computing
Show steps
  • Find online forums or study groups focused on quantum computing
  • Actively participate in discussions, asking and answering questions
  • Share your understanding and insights with others
Attend a Quantum Computing Workshop
Participate in a workshop or bootcamp specifically focused on quantum computing to immerse yourself in the field and learn from experts.
Browse courses on Quantum Computing
Show steps
  • Research and identify suitable quantum computing workshops or bootcamps
  • Attend the workshop, actively engaging in hands-on exercises and discussions
  • Follow up after the workshop by reviewing materials and connecting with other participants
Build a Quantum Circuit Simulator
Develop a simple quantum circuit simulator using Python and Qiskit to deepen your understanding of quantum computing operations and gain experience in software development.
Browse courses on Quantum Simulation
Show steps
  • Design the architecture and functionality of your quantum circuit simulator
  • Implement the simulator using Python and Qiskit
  • Test and validate the simulator using sample quantum circuits
Mentor Junior Students or Beginners in Quantum Computing
Share your knowledge and experience by mentoring others who are new to quantum computing, helping them overcome challenges and deepen their understanding.
Browse courses on Quantum Computing
Show steps
  • Identify opportunities to mentor through study groups or online platforms
  • Provide guidance and support to mentees, answering their questions and reviewing their work
  • Reflect on your mentoring experience and identify areas for improvement

Career center

Learners who complete Programming a Quantum Computer with Qiskit will develop knowledge and skills that may be useful to these careers:
Quantum Computing Engineer
Quantum Computing Engineers plan, design, and maintain quantum computers and their systems. With a background in quantum computing, you will be well suited for this role, as you will have the theoretical understanding of how quantum computing systems work. This will enable you to take part in building and maintaining quantum computers and their systems.
Quantum Algorithm Developer
Quantum Algorithm Developers design and implement quantum algorithms to address complex problems in various industries. The knowledge and hands-on experience with coding for a quantum computer that you will gain from completing this course will enable you to transition into the field of developing new quantum algorithms.
Quantum Software Engineer
Quantum Software Engineers develop and maintain software applications for quantum computers. This course will provide you with the skills in writing code for a quantum computer, which will be a strong foundation for building your career in quantum software engineering.
Quantum Architect
Quantum Architects design and develop quantum computing systems. This role combines knowledge in both software and hardware. The hands-on experience in coding for a quantum computer that you will gain from this course will be an advantage in pursuing a role as a quantum architect.
Quantum Computing Researcher
Quantum Computing Researchers endeavor to develop new quantum algorithms, quantum hardware architectures, and quantum software tools. The theoretical understanding of quantum computation and coding for quantum computers that you will gain from this course will provide you with a strong basis for continuing your learning in this field and potentially working in quantum computing research.
Quantum Hardware Engineer
Quantum Hardware Engineers design and build quantum computing hardware. The understanding of the principles of quantum computing that you will gain in this course may be a stepping stone towards a career in quantum hardware engineering.
Quantum Consultant
Quantum Consultants provide guidance and expertise to organizations looking to implement quantum computing solutions. Completing this course will provide you with foundational knowledge in quantum computing, which will enable you to work with clients in implementing quantum computing solutions.
Data Scientist
Data Scientists use statistical models and machine learning techniques to extract knowledge and insights from data. Quantum computing has the potential to revolutionize data science, and taking this course will introduce you to the concepts and coding for quantum computing, which may help you accelerate your career as a data scientist.
Software Engineer
Software Engineers design, develop, and maintain software systems. The coding skills for quantum computers that you will learn from this course may help you transition into a career in software engineering, particularly if you are interested in working on quantum computing software.
Computer Scientist
Computer Scientists research and develop new algorithms and computational techniques. By taking this course, you will develop a foundation in the field of quantum computing, which may be the start to a career in computer science, especially if you are interested in the theoretical aspects of quantum computing.
Systems Analyst
Systems Analysts design and implement computer systems. With a background in quantum computing, you may be able to work on designing and implementing quantum computing systems.
Mathematician
Mathematicians develop and apply mathematical theories and techniques. This course may help you gain a foundation in the mathematical principles of quantum computing.
Physicist
Physicists study the laws of nature and apply them to the development of new technologies. Quantum computing is a rapidly developing field that draws heavily on physics, and taking this course may provide you with a foundation for a career in this field.
Electrical Engineer
Electrical Engineers design, develop, and maintain electrical systems. Some electrical engineers work on quantum computing hardware, and completing this course may provide you with a foundational understanding of the field.
Mechanical Engineer
Mechanical Engineers design, develop, and maintain mechanical systems. While there is not a direct connection between mechanical engineering and quantum computing, taking this course may inspire you to explore the potential applications of quantum computing in mechanical engineering.

Reading list

We've selected nine 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 Programming a Quantum Computer with Qiskit.
Comprehensive textbook on quantum computing and quantum information, covering a wide range of topics from the basics to the most advanced.
Provides a mathematically rigorous introduction to quantum mechanics, making it a valuable resource for those who want to understand the underlying principles of this field.
Provides a comprehensive introduction to quantum algorithms, using linear algebra as the main mathematical framework.
Gentle introduction to quantum computing, suitable for those with no prior background in this field.
Simple and fun introduction to quantum computing, perfect for beginners. It is well-written and accessible, making it a great choice for those who want to learn more about this fascinating topic.

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