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    Rigorous no-go theorems for heralded linear-optical state generation tasks

    Deepesh Singh1,*, Ryan J. Marshman1,*, Luis Villegas-Aguilar2,3, Jens Eisert4, and Nora Tischler2,†

    • 1Centre for Quantum Computation and Communication Technology, School of Mathematics and Physics, The University of Queensland, Brisbane, Queensland 4072, Australia
    • 2Queensland Quantum and Advanced Technologies Research Institute, Centre for Quantum Computation and Communication Technology, Griffith University, Yuggera Country, Brisbane, Queensland 4111, Australia
    • 3Center for Macroscopic Quantum States (bigQ), Department of Physics, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
    • 4Dahlem Center for Complex Quantum Systems, Freie Universität Berlin, 14195 Berlin, Germany

    • *These authors contributed equally to this work.
    • †Contact author: n.tischler@griffith.edu.au

    Phys. Rev. A 113, 063735 – Published 26 June, 2026

    DOI: https://doi.org/10.1103/fzjk-8w3m

    Abstract

    A major challenge in photonic quantum technologies is developing strategies to prepare suitable discrete-variable quantum states using simple input states, linear optics, and auxiliary photon measurements to identify successful outcomes. Fundamentally, this challenge arises from the lack of strong nonlinearities on the single-photon level, meaning that photonic state preparation based on linear optics cannot benefit from the deterministic gate-based approach available to other physical platforms. Instead, the preparation of quantum states can be probabilistically implemented using single photons, linear-optical networks, and photon detection. However, determining whether an input state can be transformed into a target state using a specific measurement pattern—a problem that can be mapped to deciding the feasibility of a system of polynomial equations—is a complex problem in general. To solve it, we apply the Nullstellensatz Linear Algebra algorithm from algebraic geometry to quantum state generation; this can provide definitive no-go results by proving infeasibility when the state preparation task in question has no solution. We demonstrate this capability to validate and establish lower bounds on the physical resource requirements for the realization of several ubiquitous optical states and gates.

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