Quantum computing utilizes quantum bits (qubits) that can represent both 0 and 1 simultaneously due to superposition, unlike classical bits that are either 0 or 1. This enables quantum computers to process complex calculations exponentially faster than classical ones. Potential applications include drug discovery by simulating molecular interactions, optimizing supply chains, solving complex cryptographic problems, and advancing artificial intelligence. Despite its promise, challenges like error correction and scalable hardware must be overcome for widespread use.
How does quantum computing differ from classical computing, and what are its potential applications?
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Quantum computing differs from classical computing by using quantum bits (qubits) instead of binary bits. Qubits can exist in multiple states simultaneously (superposition) and interact in ways that create complex correlations (entanglement). This allows quantum computers to solve certain problems much faster than classical ones. Potential applications include cryptography, material science, optimization, drug discovery, and artificial intelligence, offering breakthroughs in areas where classical computing struggles.