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How Can Quantum Computing Solve Problems Beyond Classical Computing?
Quantum computing represents a paradigm shift in computational power, tackling problems that are infeasible for classical computers due to their exponential complexity. By harnessing principles such as superposition, entanglement, and quantum interference, quantum computers have the potential to transform industries ranging from cryptography to pharmaceuticals.
In this article, we explore how quantum computing can solve problems beyond the capabilities of classical computing, complete with examples and code to illustrate its power.
Understanding the Principles of Quantum Computing
1. Superposition
Superposition allows quantum bits (qubits) to exist in multiple states simultaneously. For example, while a classical bit can be either 0 or 1, a qubit can represent a combination of both states, exponentially increasing the computational power as the number of qubits grows.
2. Entanglement
Entanglement links qubits such that the state of one directly affects the state of another, regardless of distance. This property is key to performing parallel computations and enabling faster problem-solving.
