Algorithms1996

A Fast Quantum Mechanical Algorithm for Database Search

Authors: Lov K. Grover

Published: Proceedings 28th Annual ACM Symposium on Theory of Computing (1996)

In one sentence

Provides a provable quadratic speedup for searching an unstructured space — the second foundational quantum algorithm.

Key points

  • Finds a marked item among N possibilities in about √N steps instead of N.
  • Works by amplitude amplification: repeatedly boosting the target state's probability.
  • Proven optimal — no quantum algorithm can search unstructured data faster.

In plain language

Imagine looking for one name in an unsorted phone book of a million entries. Classically you might check half a million on average. Grover's algorithm lets a quantum computer find it in roughly a thousand steps by nudging the probability toward the right answer a little on each round until measuring almost always returns it. The speedup is 'only' quadratic, not exponential, but it applies to an enormous range of search and optimization problems.

Why it matters

Grover's algorithm generalizes far beyond database search to any brute-force problem, and it halves the effective key length of symmetric ciphers, informing modern cryptographic key-size recommendations.

Related glossary terms