Solve equations where every answer has a little random noise added. The noise is what makes it hard.
The idea: Take a secret list of numbers s and publish many equations of the form "a · s ≈ b", each with a small random error added, in remainder arithmetic. Without the errors, school elimination would find s instantly. With them, the errors snowball through the elimination and nothing useful comes out. To everyone else the equations look like random numbers. Encryption hides a message as a big jump on top of the noise: the key holder, who knows s, removes everything except a small error, and the big jump still shows through.
Why it matters: The foundation of ML-KEM, encryption that computes on data, and much more.
Noise that only the key holder can see through
Think of numbers modulo q as positions on a clock. Each dot is one encrypted bit. To an eavesdropper (left) the values land anywhere. The key holder (right) subtracts what the secret explains and is left with just a little noise: bits that were 0 end up near 0 (blue), bits that were 1 near q/2 (red). As long as the noise stays small, rounding to the nearer half reads every bit correctly.
The details
On the map: learning with errors
Learning with errors: solve linear equations modulo q where every equation carries a small random error, like LPN but with bigger numbers. Regev (2005) showed[1, 2] it is as hard as worst-case lattice problems, against quantum algorithms.
This assumption gives key exchange on its own, so it needs more than one-way functions and falls if public-key encryption is impossible.
TD
This assumption gives trapdoor functions on its own (computable by anyone, invertible only with a secret), so it falls if trapdoor functions don't exist. Schemes built on it need not use a trapdoor: ElGamal doesn't.
References
Oded Regev. On lattices, learning with errors, random linear codes, and cryptography. Proceedings of the thirty-seventh annual ACM symposium on Theory of computing, 2005. doi:10.1145/1060590.1060603
Oded Regev. On lattices, learning with errors, random linear codes, and cryptography. Journal of the ACM, 2009. doi:10.1145/1568318.1568324
Joppe Bos, Craig Costello, Leo Ducas et al. Frodo: Take Off the Ring! Practical, Quantum-Secure Key Exchange from LWE. Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security. doi:10.1145/2976749.2978425