Quantum computing harnesses quantum mechanical phenomena—superposition, entanglement, and interference—to process information in fundamentally different ways than classical computers. Unlike classical bits that are either 0 or 1, qubits exist in superposition, representing both states simultaneously until measured. This allows quantum computers to explore exponentially many solution paths in parallel for certain problems, offering potential exponential or quadratic speedups in factorization, search, simulation, and optimization. However, quantum systems are fragile: qubits decohere rapidly due to environmental noise, and scaling requires sophisticated error correction. As of 2026, we're in the NISQ (Noisy Intermediate-Scale Quantum) era, where 50–500 noisy qubits enable early applications, but achieving fault-tolerant, million-qubit systems remains years away. The key challenge is not just building more qubits—it's building better qubits with longer coherence times, higher gate fidelities, and practical error correction to unlock quantum advantage for real-world problems.