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Introduction to Quantum Circuits

Chetan Waghela, Gayathri Mani, and Anupama Ray

Quantum computing is expected to impact all industries, ranging from cybersecurity to medicine. It provides a promise to solve many problems faster and more efficiently than classical computers. This course will introduce you to the core concepts related to quantum computing and give you an opportunity to explore IBM Q Experience Visual Composer. This graphical quantum programming tool lets you build quantum circuits and run them on real quantum hardware or simulators.

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Quantum computing is expected to impact all industries, ranging from cybersecurity to medicine. It provides a promise to solve many problems faster and more efficiently than classical computers. This course will introduce you to the core concepts related to quantum computing and give you an opportunity to explore IBM Q Experience Visual Composer. This graphical quantum programming tool lets you build quantum circuits and run them on real quantum hardware or simulators.

Geared towards anyone new to the field of quantum computing, this course is intended for a large audience, ranging from high school students to working professionals who do not have prior knowledge about quantum computing or those wishing to strengthen their foundational knowledge.

This course discusses the basics of quantum computing. You will gain an understanding of the technology landscape—the present state and the future potential of quantum computing. You will also learn how to create quantum circuits for various quantum algorithms and be able to interact with quantum hardware using IBM Q Visual Composer.

What's inside

Learning objectives

  • Discuss the basics of quantum computing
  • Gain an understanding of the technology landscape, specifically the present and future of quantum computing
  • Create quantum circuits for various quantum algorithms
  • Interface with quantum hardware using ibm q visual composer

Syllabus

Welcome!
Chapter 1: Motivation for Quantum Computing
Chapter 2: Understanding Superposition and Measurement in Quantum Mechanics
Chapter 3: Understanding Qubits in More Detail
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Chapter 4: Quantum Entanglement and Bell’s Theorem
Chapter 5: Introduction to Quantum Gates and Circuits
Chapter 6: Hands-on Lab on IBM Q Experience Visual Composer
Chapter 7: Deutsch Algorithm
Chapter 8: What’s Next
Final Exam (Verified track only)

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Well-suited for learners of all experience levels, from complete beginners to experienced professionals
Builds a strong foundational understanding of quantum computing
Offers an opportunity to interface with quantum hardware through IBM’s Q Visual Composer, providing real-world experience

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Activities

Coming soon We're preparing activities for Introduction to Quantum Circuits. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Introduction to Quantum Circuits will develop knowledge and skills that may be useful to these careers:
Quantum Systems Analyst
Quantum Systems Analysts analyze and design quantum computing systems. As a Quantum Systems Analyst, you will be involved in the development of quantum computing architectures, quantum software, and quantum hardware. This course can help you build a foundation in quantum computing, which is essential for success in this role. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a strong foundation for analyzing and designing quantum computing systems.
Quantum Computing Researcher
Quantum Computing Researchers investigate the fundamental principles of quantum mechanics to develop new quantum computing technologies. As a Quantum Computing Researcher, you will be involved in the design, development, and implementation of quantum algorithms and quantum hardware. This course can help you build a foundation in quantum computing, which is essential for success in this role. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a strong foundation for developing new quantum computing technologies.
Quantum Software Engineer
Quantum Software Engineers design, develop, and maintain software for quantum computers. As a Quantum Software Engineer, you will be involved in the development of quantum algorithms, quantum compilers, and other software tools for quantum computing. This course can help you build a foundation in quantum computing, which is essential for success in this role. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a strong foundation for developing quantum software.
Quantum Hardware Engineer
Quantum Hardware Engineers design, develop, and maintain quantum computing hardware. As a Quantum Hardware Engineer, you will be involved in the development of quantum processors, quantum memory, and other hardware components for quantum computers. This course can help you build a foundation in quantum computing, which is essential for success in this role. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a strong foundation for developing quantum hardware.
Quantum Computing Scientist
Quantum Computing Scientists research the fundamental principles of quantum mechanics and develop new quantum computing technologies. As a Quantum Computing Scientist, you will be involved in the development of new quantum algorithms, quantum hardware, and quantum software. This course can help you build a foundation in quantum computing, which is essential for success in this role. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a strong foundation for conducting research in quantum computing.
Quantum Architect
Quantum Architects design and develop quantum computing architectures. As a Quantum Architect, you will be involved in the development of new quantum computing architectures and the optimization of existing architectures for performance and efficiency. This course can help you build a foundation in quantum computing, which is essential for success in this role. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a strong foundation for designing and developing quantum computing architectures.
Quantum Algorithm Developer
Quantum Algorithm Developers design and develop quantum algorithms for a variety of applications, such as cryptography, optimization, and drug discovery. As a Quantum Algorithm Developer, you will be involved in the development of new quantum algorithms and the optimization of existing algorithms for quantum computers. This course can help you build a foundation in quantum computing, which is essential for success in this role. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a strong foundation for developing quantum algorithms.
Quantum Applications Developer
Quantum Applications Developers develop quantum applications for a variety of industries, such as finance, healthcare, and materials science. As a Quantum Applications Developer, you will be involved in the development of quantum algorithms and quantum software for specific applications. This course can help you build a foundation in quantum computing, which is essential for success in this role. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a strong foundation for developing quantum applications.
Data Scientist
Data Scientists analyze and interpret data to extract insights and make predictions. As a Data Scientist, you will be involved in the development of data analysis models and the interpretation of these models to make business decisions. This course may be useful if you are interested in developing quantum machine learning algorithms for data analysis. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a foundation for developing quantum machine learning algorithms for data analysis.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models for a variety of applications, such as image recognition, natural language processing, and speech recognition. As a Machine Learning Engineer, you will be involved in the development of machine learning models and the optimization of these models for performance and efficiency. This course may be useful if you are interested in developing quantum machine learning algorithms. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a foundation for developing quantum machine learning algorithms.
Computer Scientist
Computer Scientists research and develop new computer technologies and applications. As a Computer Scientist, you will be involved in the development of new algorithms, data structures, and programming languages. This course may be useful if you are interested in developing quantum computing algorithms or software. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a foundation for developing quantum computing algorithms or software.
Materials Scientist
Materials Scientists research and develop new materials for a variety of applications, such as electronics, energy, and medicine. As a Materials Scientist, you will be involved in the development of new materials with improved properties, such as strength, conductivity, and durability. This course may be useful if you are interested in developing quantum computing materials. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a foundation for developing quantum computing materials.
Electrical Engineer
Electrical Engineers design, develop, and maintain electrical systems. As an Electrical Engineer, you will be involved in the development of electrical systems for a variety of applications, such as power generation, transmission, and distribution. This course may be useful if you are interested in developing quantum computing hardware. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a foundation for developing quantum computing hardware.
Software Developer
Software Developers design, develop, and maintain software applications. As a Software Developer, you will be involved in the development of software applications for a variety of platforms, such as mobile devices, desktop computers, and the web. This course may be useful if you are interested in developing quantum computing software. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a foundation for developing quantum computing software.
Systems Engineer
Systems Engineers design, develop, and maintain computer systems. As a Systems Engineer, you will be involved in the development of computer systems for a variety of applications, such as data centers, telecommunications networks, and industrial automation systems. This course may be useful if you are interested in developing quantum computing systems. You will learn about the basics of quantum mechanics, quantum circuits, and quantum algorithms. This knowledge will give you a foundation for developing quantum computing systems.

Reading list

We've selected eight 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 Introduction to Quantum Circuits.
This comprehensive textbook provides a detailed foundation in quantum computing, including topics such as quantum algorithms, entanglement, and quantum information theory.
This textbook covers the foundations of quantum computation and quantum communication, including quantum algorithms, quantum entanglement, and quantum cryptography.
Provides a mathematical approach to quantum computing, using linear algebra to explain quantum algorithms and their applications.
Provides a comprehensive overview of quantum computing, from its history to its potential applications. It also includes hands-on exercises and simulations.
This introductory textbook provides a comprehensive overview of quantum computing, including its history, key concepts, and applications.
Complements the course with its focus on quantum hardware. It covers topics such as quantum processor architectures, qubit technologies, and quantum error correction.
Focuses on the practical applications of quantum computing, providing real-world examples and case studies.

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