How to design quantum circuits with Qiskit
Concept
Quantum circuits are a fundamental concept in quantum computing. Qiskit is an open-source quantum computing software development framework that allows you to work with quantum circuits and algorithms.
It provides tools for creating, simulating, and executing quantum circuits on real quantum hardware.
Qiskit Tutorials
algorithmsfolder ->qiskit-algorithms(GitHub)circuitsfolder -> Qiskit (GitHub)circuits_advancedfolder -> Qiskit (GitHub)opflowfolder -> Qiskit (GitHub)simulatorsfolder ->qiskit-aer(GitHub)textbookfolder -> removed in favor of https://www.qiskit.org/learn
Contents
Welcome to the Qiskit Tutorials!
In this repository, we’ve put together a collection of Jupyter notebooks aimed at teaching people who want to use Qiskit for writing quantum computing programs, and executing them on one of several backends (online quantum processors, online simulators, and local simulators). The online quantum processors are the IBM Quantum systems.
For our community-contributed tutorials, please check out the qiskit-community-tutorials repository.
Content
Month 1: Foundations of Quantum Mechanics and Quantum Computing Basics
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Start by studying the principles of quantum mechanics, including superposition, entanglement, and quantum measurement.
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Learn the mathematical foundations of quantum mechanics, including linear algebra and Dirac notation.
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Gain an understanding of qubits, quantum gates, and quantum circuits.
Month 2: Quantum Algorithms
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Dive into quantum algorithms that demonstrate the power of quantum computing, such as Shor’s algorithm and Grover’s algorithm.
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Study the principles behind these algorithms and their potential applications.
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Implement these algorithms on simulators provided by quantum computing platforms like Qiskit, Cirq, or Forest.
Month 3: Quantum Programming Languages and Tools
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Familiarize yourself with a quantum programming language like Qiskit, which provides a user-friendly interface for quantum computing.
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Follow tutorials and coding exercises to gain hands-on experience with simulators and quantum hardware.
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Join online communities and forums to engage with other learners and ask questions.
Month 4: Quantum Error Correction
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Understand the challenges of qubit decoherence and quantum errors.
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Learn about quantum error correction codes and techniques to mitigate errors.
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Explore quantum error correction circuits and fault-tolerant quantum computing.
Month 5: Quantum Simulations and Applications
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Study quantum simulations and their applications in various fields such as quantum chemistry and material science.
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Gain insights into variational quantum algorithms, quantum-inspired classical algorithms, and quantum machine learning.
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Implement and experiment with quantum simulations using available tools and resources.
Month 6: Quantum Cryptography and Quantum Communication
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Learn about quantum key distribution (QKD) protocols and quantum cryptography.
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Understand the principles of secure quantum communication and quantum teleportation.
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Explore real-world applications and current research in quantum communication.
Throughout the 6-month roadmap, engage in self-paced online courses, watch video lectures, and read books and research papers to deepen your knowledge. Take advantage of the vast resources available on quantum computing platforms, open-source libraries, and online learning platforms. Additionally, participate in quantum computing communities, attend webinars, and explore online tutorials and coding challenges to enhance your practical skills. Remember to practice regularly and actively seek opportunities to apply your knowledge through coding projects and experiments.
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