Скачать или смотреть Tensor Product and Multi-Qubit Gates in Quantum Computing | P5 | Quantum Computing 101 | Taha Selim

This video provides a comprehensive guide to representing multi-qubit systems through the mathematical framework of the tensor product. As quantum computers scale, understanding how the computational space grows from a single qubit to multiple qubits is essential for mastering quantum algorithms and gate operations.

The tutorial covers:
The Power of the Tensor Product: Learn how to mathematically combine single-qubit states into multi-qubit representations.

Exponential Scaling: Discover why n qubits result in a computational space of 2^n dimensions (e.g., 4 dimensions for 2 qubits, 8 for 3 qubits).

State Representation: A deep dive into using column vectors and coefficients to express combined quantum states like ∣00⟩,∣01⟩,∣10⟩, and ∣11⟩.

Introduction to the CNOT Gate: An explanation of the Controlled-NOT gate, a fundamental two-qubit gate used to create entanglement.

Conditional Logic: How the CNOT gate uses a "control qubit" to determine whether to flip a "target qubit" using an X-gate.

Matrix Math & Representations: A look at the 4x4 matrix representation of the CNOT gate and the differences between Big Endian and Little Endian (Qiskit) conventions.

By the end of this video, you will understand how to use tensor products to span the Hilbert space of multiple qubits and how to analyze the truth tables of conditional quantum gates.

About the Course: This video is part of a comprehensive Quantum Computing 101 course designed to take you from a beginning level to a professional level. By the end of this series, you will move beyond theory and gain the skills to run quantum algorithms on real quantum computers!