TL;DR
This paper introduces a relaxed class of quantum states called quasi-quantum states, maps their properties to classical distributions, and proves a PCP theorem for local Hamiltonian problems, offering insights into the quantum PCP conjecture.
Contribution
It defines quasi-quantum states, establishes their classical equivalence, and proves a PCP theorem for local Hamiltonian problems in this framework, advancing understanding of quantum complexity.
Findings
Quasi-quantum states relax positivity constraints of quantum states.
Optimization over quasi-quantum states is NP-complete.
A PCP theorem for local Hamiltonian problems over quasi-quantum states is established.
Abstract
We introduce -local quasi-quantum states: a superset of the regular quantum states, defined by relaxing the positivity constraint. We show that a -local quasi-quantum state on qubits can be 1-1 mapped to a distribution of assignments over variables with an alphabet of size , which is subject to non-linear constraints over its -local marginals. Therefore, solving the -local Hamiltonian over the quasi-quantum states is equivalent to optimizing a distribution of assignment over a classical -local CSP. We show that this optimization problem is essentially classical by proving it is NP-complete. Crucially, just as ordinary quantum states, these distributions lack a simple tensor-product structure and are therefore not determined straightforwardly by their local marginals. Consequently, our classical optimization problem shares some unique aspects of Hamiltonian…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
Quasi-quantum states and the quasi-quantum PCP theorem· youtube
