We study the complexity of the Local Hamiltonian Problem (denoted as LH-MIN) in the special case when a Hamiltonian obeys conditions of the Perron-Frobenius theorem: all off-diagonal matrix elements in the standard basis are real and non-positive. We will call such Hamiltonians, which are common in the natural world, stoquastic. An equivalent characterization of stoquastic Hamiltonians is that they have an entry-wise non-negative Gibbs density matrix for any temperature. We prove that LH-MIN for stoquastic Hamiltonians belongs to the complexity class AM -- a probabilistic version of NP with two rounds of communication between the prover and the verifier. We also show that 2-local stoquastic LH-MIN is hard for the class MA. With the addition...
The complexity of the commuting local Hamiltonians (CLH) problem still remains a mystery after two d...
The field of quantum Hamiltonian complexity lies at the intersection of quantum many-body physics an...
Recently it was shown that the so-called guided local Hamiltonian problem -- estimating the smallest...
The k-Local Hamiltonian problem is a natural complete problem for the complexity class QMA, the quan...
We show that finding the lowest eigenvalue of a 3-local symmetric stochastic matrix is Quantum-Merli...
The calculation of ground-state energies of physical systems can be formalised as the k-local Hamilt...
Abstract. The k-local Hamiltonian problem is a natural complete problem for the complexity class QMA...
The calculation of ground-state energies of physical systems can be formalised as the k-local Hamilt...
We present a classical approximation algorithm for the MAX-2-Local Hamiltonian problem. This is a ma...
We study the computational difficulty of computing the ground state degeneracy and the density of st...
We examine the problem of determining if a 2-local Hamiltonian is stoquastic by local basis changes....
We show that finding the lowest eigenvalue of a 3-local symmetric stochastic matrix is Quantum-Merli...
The canonical problem for the class Quantum Merlin-Arthur (QMA) is that of estimating ground state e...
We study the problem of learning a Hamiltonian $H$ to precision $\varepsilon$, supposing we are give...
A broad range of quantum optimization problems can be phrased as the question of whether a specific ...
The complexity of the commuting local Hamiltonians (CLH) problem still remains a mystery after two d...
The field of quantum Hamiltonian complexity lies at the intersection of quantum many-body physics an...
Recently it was shown that the so-called guided local Hamiltonian problem -- estimating the smallest...
The k-Local Hamiltonian problem is a natural complete problem for the complexity class QMA, the quan...
We show that finding the lowest eigenvalue of a 3-local symmetric stochastic matrix is Quantum-Merli...
The calculation of ground-state energies of physical systems can be formalised as the k-local Hamilt...
Abstract. The k-local Hamiltonian problem is a natural complete problem for the complexity class QMA...
The calculation of ground-state energies of physical systems can be formalised as the k-local Hamilt...
We present a classical approximation algorithm for the MAX-2-Local Hamiltonian problem. This is a ma...
We study the computational difficulty of computing the ground state degeneracy and the density of st...
We examine the problem of determining if a 2-local Hamiltonian is stoquastic by local basis changes....
We show that finding the lowest eigenvalue of a 3-local symmetric stochastic matrix is Quantum-Merli...
The canonical problem for the class Quantum Merlin-Arthur (QMA) is that of estimating ground state e...
We study the problem of learning a Hamiltonian $H$ to precision $\varepsilon$, supposing we are give...
A broad range of quantum optimization problems can be phrased as the question of whether a specific ...
The complexity of the commuting local Hamiltonians (CLH) problem still remains a mystery after two d...
The field of quantum Hamiltonian complexity lies at the intersection of quantum many-body physics an...
Recently it was shown that the so-called guided local Hamiltonian problem -- estimating the smallest...