Necessity of full relative-error design randomness for structured shadow estimation
Determine whether the full randomness required for relative-error approximate designs is necessary for structured shadow-estimation tasks beyond stabilizer-state fidelities, and characterize when task-specific shadow guarantees can replace conventional approximate-design conditions.
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Second, and more broadly, this work raises the question of whether the full randomness needed for relative-error approximate designs is genuinely necessary for other structured shadow-estimation tasks.
Several practical and theoretical questions remain open. First, our analysis assumes lossless propagation and ideal photon-number-resolving detection; incorporating non-unit efficiencies and dark counts is important for applications to large photonic processors. Second, extending the framework beyond collision-free inputs to higher mode occupations, and to continuous-variable states such as those used in Gaussian boson sampling , remains open. Finally, for general correlated states, it would be useful to reduce the shot-to-shot reconfiguration required by the randomized protocol, for example through unitary designs or partial derandomization, or to determine whether non-trivial bounds can be obtained from only a small number of fixed interferometers.