- Open Access
Geometric and resource-theoretic characterization of nonstabilizerness in quantum algorithms
Phys. Rev. A 114, 022421 – Published 11 August, 2026
DOI: https://doi.org/10.1103/1f5p-rhy4
Abstract
While there is strong evidence for advantages of quantum over classical computation, the repertoire of computational primitives with proven or conjectured quantum advantage remains limited. A big challenge of quantum algorithmic design is a still incomplete understanding of the sources of quantum computational power. Advancing toward systematic quantum advantage calls for a better understanding of the efficient use of nonclassical resources like nonstabilizer states. We present an approach to track nonclassical contributions in the form of nonstabilizerness across various algorithms by pairing resource theory of nonstabilizer entropies with the geometry of quantum state evolution, and introduce permutation agnostic distance measures that reveal and quantify nonstabilizer effects previously hidden by a subset of Clifford operations. We find different efficiency in the use of nonstabilizerness for structured and unstructured variational approaches and show that greater freedom for classical optimization in quantum-classical methods increases unnecessary nonstabilizer consumption. Our results open alternative means of analyzing the efficient utilization of quantum resources and contribute toward the targeted construction of algorithmic quantum advantage.
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