MATERA Juan Mauricio
Coherence as a Resource for Shor’s Algorithm
AHNEFELD, FELIX; THEURER, THOMAS; EGLOFF, DARIO; MATERA, JUAN MAURICIO; PLENIO, MARTIN B.
PHYSICAL REVIEW LETTERS
AMER PHYSICAL SOC
Lugar: New York; Año: 2022 vol. 129
Shors factoring algorithm provides a superpolynomial speedup over all known classical factoring algorithms. Here, we address the question of which quantum properties fuel this advantage. We investigate a sequential variant of Shors algorithm with a fixed overall structure and identify the role of coherence for this algorithm quantitatively. We analyze this protocol in the framework of dynamical resource theories, which capture the resource character of operations that can create and detect coherence. This allows us to derive a lower and an upper bound on the success probability of the protocol, which depend on rigorously defined measures of coherence as a dynamical resource. We compare these bounds with the classical limit of the protocol and conclude that within the fixed structure that we consider, coherence is the quantum resource that determines its performance by bounding the success probability from below and above. Therefore, we shine new light on the fundamental role of coherence in quantum computation.