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New method learns optimal phases for quantum state preparation

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Researchers have developed a new method to optimize the preparation of quantum states in bosonic qudits using SNAP-Displacement sequences. This technique learns which phases are necessary and their values, employing a differentiable mask and sparsity penalty to remove redundant phases. The approach aims to reduce control errors by simplifying complex control pulses required for systems with many trainable phases. Evaluations against fully parameterized and predefined sparse ansatzes show competitive or improved fidelity-resource trade-offs, depending on the target state and qudit dimension. AI

RANK_REASON Academic paper detailing a new method for quantum state preparation. [lever_c_demoted from research: ic=1 ai=0.0]

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New method learns optimal phases for quantum state preparation

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Academic paper detailing a new method for quantum state preparation. [lever_c_demoted from research: ic=1 ai=0.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Marco Pennazio, Leonardo Ignazio Pagliochini, Riccardo Pellini, Maurizio Ferrari Dacrema, Paolo Cremonesi ·

    Reducing the Cost of Qudit State Preparation by Learning a Sparse Structure for SNAP Gates

    arXiv:2610.21557v1 Announce Type: cross Abstract: Preparing quantum states in bosonic qudits with SNAP--Displacement sequences requires both optimizing the gate parameters and deciding which Fock levels should be controlled by each SNAP gate. A fully parameterized ansatz assigns …

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