Steering the Fidelity in State Preparation on Noisy Bosonic Systems with Risk-Seeking Optimization
In order to execute quantum algorithms on bosonic quantum computers, it is necessary to encode their inputs into a desired target quantum state, with a process called state preparation. In real settings, state preparation methods operate in stochastic scenarios, where the prepared state is represented as a mixed state, that is a probabilistic ensemble of pure states. Therefore, existing state preparation methods optimize a variational ansatz by averaging over all possible sequences of photon loss events contained in the prepared ensemble, yielding an output state which approximates the desired target with a certain average fidelity. Such an approach, however, does not take into account di...
| Authors | Riccardo Piantoni, Riccardo Pellini, Maurizio Ferrari Dacrema et al. |
|---|---|
| Primary category | quant-ph |
| Published | 13 October 2026 |
| Last updated at source | 13 October 2026 |
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