Quantum Computing [With Qiskit] 2024 Guide
Jump into the thrilling universe of Quantum Computing with our guide intending to break any level of learner into this field. Topped with extensive insights into popular Quantum Computing topics, resources for extended learning, and code examples of computing in Qiskit - a library for programming Quantum Computers in Python - this guide provides an incredibly comprehensive overview of Quantum Computing.
Contents
This guide is STI (Subject-Topic-Item) formatted and contains 10 key topics in machine learning, which are listed below along with their summaries.
1.1 Quantum Logic Gates and Circuits
In this section, glance some of the fundamentals of quantum (logic) gates and circuits. Understand how quantum bits (qubits) can be manipulated using operations like Hadamard gates and controlled-X gates to perform quantum computations.
1.2 Quantum Circuit Simulation
Quantum circuit simulation plays a vital role in quantum computing development and research. It allows us to predict the behavior of quantum circuits, test algorithms, and analyze quantum systems without the need for actual quantum hardware.
1.3 Quantum Entanglement
Quantum entanglement refers to the phenomenon where two or more qubits become correlated in such a way that the state of one qubit is dependent on the state of another, even when they are physically separated by large distances.
1.4 Quantum Measurement
Understand the principles of quantum measurement and how it influences the state of qubits. Explore how measurement collapses the quantum state into a classical outcome.
1.5 Quantum Superposition
Study the concept of quantum superposition, where qubits can exist in multiple states simultaneously. Explore how superposition enables quantum computers to process information differently from classical computers.
1.6 Quantum Algorithms
Discover quantum algorithms that leverage quantum parallelism and entanglement to solve certain problems more efficiently than classical algorithms. Examples include Shor's algorithm for factorization and Grover's search algorithm.
1.7 Quantum Error Correction
Learn about the challenges of quantum error correction and the methods employed to mitigate errors in quantum computations. Understand the role of quantum error correction codes.
1.8 Quantum Cloud Computing
Explore the integration of quantum computing with cloud platforms. Understand how quantum cloud services, such as IBM Quantum Experience, provide access to quantum devices and simulators.
1.9 Quantum Cryptography
Dive into the field of quantum cryptography, which exploits the principles of quantum mechanics to secure communication channels. Explore concepts like quantum key distribution for secure communication.
1.10 Quantum Machine Learning (QML)
Investigate the intersection of quantum computing and machine learning. Explore quantum machine learning algorithms and how quantum computers may provide advantages in certain types of machine learning tasks.