Risk-seeking optimization applied to photonic state preparation reduces infidelity by up to 4 orders of magnitude compared to standard averaging, enabling control over fidelity distribution across noise trajectories in bosonic quantum systems.

Risk-seeking optimization applied to photonic state preparation reduces infidelity by up to 4 orders of magnitude compared to standard averaging, enabling control over fidelity distribution across noise trajectories in bosonic quantum systems.
Risk-seeking optimization applied to photonic state preparation reduces infidelity by up to 4 orders of magnitude compared to standard averaging, enabling control over fidelity distribution across noise trajectories in bosonic quantum systems.