OAM-Induced Lattice Rotation Reveals a Fractional Optimum in Fault-Tolerant GKP Quantum Sensing
Abstract
Photon loss and dephasing rapidly degrade the sensitivity of quantum sensors, yet systematic methods for designing error-correcting codes whose geometry is simultaneously adapted to the sensing task and the noise channel do not exist. Here we establish that orbital-angular-momentum (OAM) encoding and Gottesman-Kitaev-Preskill (GKP) lattice geometry are structurally coupled: an OAM mode of topological charge induces a phase-space rotation θ=π/, corresponding to a family of twisted GKP stabilizer lattices. Using an end-to-end differentiable Strawberry Fields--TensorFlow circuit, we jointly optimise , the lattice aspect ratio r, and the finite-energy envelope ε to maximise quantum Fisher information subject to P err≤10-3. The optimum occurs at the fractional charge =1.5 (θ=67.5), implementable with a half-integer spiral phase plate, which reduces P err by 23.9× relative to the square-lattice baseline while leaving FQ unchanged to within 0.2\%. This surpasses the best integer value (=2, 15.7×) and arises from an exact 180 periodicity of the P err(θ) landscape, confirmed analytically and numerically. We derive a transcendental balance equation for the optimal angle θ*(η,γ,r) and prove that it decreases with both γ and η. A Shannon-inspired metrological capacity C=FQ·(- P err), maximised at =1.5 with a 41\% gain over the square lattice, quantifies the joint sensitivity--fault-tolerance resource. These results establish a geometric design principle for noise-adaptive quantum sensors and a fully open-source differentiable template extensible to other bosonic code families.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.