aiqbench analysis
This research establishes a rigorous mathematical framework for classifying multiqubit orthogonal product bases by mapping the problem to graph isomorphism, offering new theoretical bounds on state space complexity. The derived two-phase algorithm provides a concrete method for determining equivalence between these quantum states, though with exponential worst-case complexity inherent to the underlying graph structure.
Multiqubit orthogonal product bases
arXiv:2608.18421v1 Announce Type: new Abstract: We study complete orthogonal product bases (OPBs) of an $n$-qubit system via the formal-matrix formalism for multiqubit OPBs. To each OPB formal matrix we associate an edge-colored complete multigraph, and we prove that two formal matrices are equivalent if and only if their multigraphs are isomorphic, thereby reducing the classification of OPBs to graph isomorphism. Via subcube partitions and a lemma of Tarsi, we upper bound the number of variables by $2^n - 1$. We also study lower and upper bounds on the number $a_n$ of equivalence classes of $n$-qubit OPBs, by showing that $\binom{a_{n-1}+1}{2} \le a_n \le B_{2^{n-1}}^n$, where $B_m$ denotes the number of partitions of an $m$-element set. These bounds yield the asymptotic behavior $a_n = 2^{2^{n+o(n)}}$. Finally, we obtain a two-phase algorithm that decides whether two OPB formal matrices are equivalent, together with its correctness proof and complexity analysis. The complexity is exponential in the worst case.
Abstract:We study complete orthogonal product bases (OPBs) of an $n$-qubit system via the formal-matrix formalism for multiqubit OPBs. To each OPB formal matrix we associate an edge-colored complete multigraph, and we prove that two formal matrices are equivalent if and only if their multigraphs are isomorphic, thereby reducing the classification of OPBs to graph isomorphism. Via subcube partitions and a lemma of Tarsi, we upper bound the number of variables by $2^n - 1$. We also study lower and upper bounds on the number $a_n$ of equivalence classes of $n$-qubit OPBs, by showing that $\binom{a_{n-1}+1}{2} \le a_n \le B_{2^{n-1}}^n$, where $B_m$ denotes the number of partitions of an $m$-element set. These bounds yield the asymptotic behavior $a_n = 2^{2^{n+o(n)}}$. Finally, we obtain a two-phase algorithm that decides whether two OPB formal matrices are equivalent, together with its correctness proof and complexity analysis. The complexity is exponential in the worst case.
arXiv:2608.18421 [quant-ph]
(or arXiv:2608.18421v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2608.18421 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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