[Free] Quantum Computing Demystified

Implement Basic Quantum Algorithms – Free Course

Added on July 13, 2025 IT & Software 2 min read

What you’ll learn

Understand and Explain Fundamental Concepts
Differentiate Classical and Quantum Computation
Apply Quantum State Representations
Analyze Superposition and Entanglement Mechanisms
Evaluate Algorithm Efficiency in Quantum Contexts

Requirements

Not needed

Description

The foundational ideas of quantum computing, a revolutionary method of computation based on the laws of quantum mechanics, are introduced in this course. It starts with the idea of qubits, which are the quantum counterpart of classical bits and allow for parallel computation by existing in a superposition of states. Students investigate how qubits are manipulated by quantum gates and how they are essentially different from binary logic in classical computing. Entanglement, a uniquely quantum phenomenon in which the states of two or more qubits become interdependent, is a major theme of the course. This phenomenon enables exponential scalability in computation and strong non-classical correlations. Additionally, the course explores multi-qubit systems, elucidating how qubit combinations create intricate quantum registers and how quantum gates function across multiple qubits to accomplish significant computation. Building upon this framework, the course presents important quantum algorithms, beginning with the Deutsch algorithm, which illustrates quantum parallelism and the capacity to solve issues more quickly than traditional techniques. Following that, students investigate the Deutsch–Jozsa algorithm, an expansion that demonstrates even more how quantum computing can be used to reduce the number of computational steps required to solve particular decision problems. Students use circuit diagrams and quantum simulation tools to apply these ideas throughout the course, gaining hands-on experience with designing and implementing quantum circuits and algorithms. By the end, students will be ready for more complex subjects in quantum information science and quantum algorithm design, having gained an understanding of the theoretical and practical aspects of early quantum algorithms.

Author(s): DrUsha G

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