Grover's Algorithm: Only √n speedup
Unlike Shor's exponential speedup for factoring, Grover's search only provides a quadratic advantage. 2^128 → 2^64 operations.
Drag to simulate quantum computer scaling
No qubit threshold exists — lattice problems have no known efficient quantum solution
Shor's algorithm uses quantum period-finding to factor large numbers exponentially faster than any classical algorithm. The key step is modular exponentiation in superposition, followed by the QFT. This breaks RSA, whose security relies on the difficulty of factoring.
Enter a number between 2 and 999
ML-KEM (formerly CRYSTALS-Kyber), standardized in NIST FIPS 203, is based on the MLWE lattice problem. Even quantum computers with Grover's algorithm only achieve a √n speedup — not enough to break it.
Unlike Shor's exponential speedup for factoring, Grover's search only provides a quadratic advantage. 2^128 → 2^64 operations.
The Shortest Vector Problem in high-dimensional lattices has no efficient quantum algorithm — unlike integer factoring.
LWE adds Gaussian noise to lattice computations. Even with quantum superposition, the noise prevents extracting the secret key.
Still 1.8×10^19 operations — completely infeasible even for quantum computers
No quantum algorithm can efficiently solve the lattice problem
Ref: NIST FIPS 203 (2024) · Grover (1996) · Regev (2005)