Undecidability of the Spectral Gap (short version)

TL;DR

This paper proves that determining whether a quantum many-body Hamiltonian has a spectral gap is an undecidable problem, meaning no algorithm can solve this for all cases, with implications for quantum physics and mathematics.

Contribution

It establishes the undecidability of the spectral gap problem by constructing specific quantum spin systems encoding Turing machine computations.

Findings

Spectral gap problem is undecidable for certain quantum systems.

Existence of models with spectral gap properties independent of mathematical axioms.

Undecidability extends to low energy properties like ground-state correlations.

Abstract

The spectral gap - the energy difference between the ground state and first excited state - is central to quantum many-body physics. Many challenging open problems, such as the Haldane conjecture, existence of gapped topological spin liquid phases, or the Yang-Mills gap conjecture, concern spectral gaps. These and other problems are particular cases of the general spectral gap problem: given a quantum many-body Hamiltonian, is it gapped or gapless? Here we prove that this is an undecidable problem. We construct families of quantum spin systems on a 2D lattice with translationally-invariant, nearest-neighbour interactions for which the spectral gap problem is undecidable. This result extends to undecidability of other low energy properties, such as existence of algebraically decaying ground-state correlations. The proof combines Hamiltonian complexity techniques with aperiodic tilings, to construct a Hamiltonian whose ground state encodes the evolution of a quantum phase-estimation algorithm followed by a universal Turing Machine. The spectral gap depends on the outcome of the corresponding Halting Problem. Our result implies that there exists no algorithm to determine whether an arbitrary model is gapped or gapless. It also implies that there exist models for which the presence or absence of a spectral gap is independent of the axioms of mathematics.