Gkp Codes is a superconducting qubit approach for quantum computing hardware. Source: latex text.
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 , 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 , and the finite-energy envelope to maximise quantum Fisher information subject to . The optimum occurs at the fractional charge (), implementable with a half-integer spiral phase plate, which reduces by relative to the square-lattice baseline while leaving unchanged to within . This surpasses the best integer value (, ) and arises from an exact periodicity of the landscape, confirmed analytically and numerically. We derive a transcendental balance equation for the optimal angle and prove that it decreases with both and . A Shannon-inspired metrological capacity , maximised at with a 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.
Key Findings
Links
- arXiv: 2605.13271
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