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The quantum PCP conjecture

Is estimating the ground state energy of a local Hamiltonian to constant relative precision still QMA-hard?

Problem statement

Conjecture: there is a constant ε>0\varepsilon > 0 such that it is QMA-hard to decide, given a local Hamiltonian H=∑iHiH = \sum_i H_i on nn qubits with mm terms, whether the ground state energy is below aa or above a+εma + \varepsilon m.

Equivalently, the constraint-satisfaction version: approximating the maximum fraction of satisfiable local terms to within a constant is QMA-hard.

Lean 4

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Background

The classical PCP theorem states that approximating MAX-3SAT to within a constant is NP-hard. Kitaev's circuit-to-Hamiltonian construction gives the quantum analogue of the Cook–Levin theorem, with an inverse-polynomial promise gap. Amplifying that gap to a constant is the open step, and the classical amplification techniques — parallel repetition, gap amplification by expander walks — have no known quantum counterpart.

Why it matters

A positive answer would imply that entanglement survives at constant temperature in some systems, contradicting a widespread physical intuition, and would rule out efficient classical approximation schemes for ground-state energies. A refutation would give a general approximation algorithm and would be equally significant.

Known partial results

  • The NLTS theorem (Anshu, Breuckmann, Nirkhe, 2022) established a necessary consequence: there are local Hamiltonians whose low-energy states all require circuits of superlogarithmic depth. This removed the main obstacle people had hoped would refute the conjecture.
  • Quantum PCP is known for the "quantum PCP of proximity" and in the setting of games (via MIP* = RE, which is a different model with entangled provers).
  • Dinur's gap amplification does not survive quantisation: the quantum analogue of the union bound over assignments fails.
References
  1. [1]D. Aharonov, I. Arad, T. Vidick, The quantum PCP conjecture, ACM SIGACT News 44 (2013). link
  2. [2]A. Anshu, N. Breuckmann, C. Nirkhe, NLTS Hamiltonians from good quantum codes, STOC 2023. link

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