This method finds approximate operator norms in local Hamiltonians by maximizing product state projections, suggesting efficient quantum computations.
Consider a Hermitian operator A acting on a complex Hilbert space of dimension 2ⁿ. We show that when A has small degree in the Pauli expansion, or in other words, A is a local n-qubit Hamiltonian, its operator norm can be approximated independently of n by maximizing |ψ|A|ψ| over a small collection Xₙ of product states ψ∈ (C²)⊗ n. More precisely, we show that whenever A is d-local, i.e., °(A)≤ d, we have the following discretization-type inequality: \[ \|A\|≤ C(d)maxψ∈ X_n|{ψ|A|ψ}|. \] The constant $C(d)$ depends only on d. This collection Xₙ of $ψ$'s, termed a quantum norm design, is independent of A, and consists of product states, and can have cardinality as small as (1+)ⁿ, which is essentially tight. Previously, norm designs were known only for homogeneous d-localHamiltonians A {L,BGKT,ACKK}, and for non-homogeneous $2$-local traceless A {BGKT}. Several other results, such as boundedness of Rademacher projections for all levels and estimates of operator norms of random Hamiltonians, are also given.
No takes yet. Share an insight, caveat, or question.
Becker et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: