4 papers · 1 filter
Reducing the Cost of Qudit State Preparation by Learning a Sparse Structure for SNAP Gates
Marco Pennazio, Leonardo Ignazio Pagliochini, Riccardo Pellini +2
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 eac…
Steering the Fidelity in State Preparation on Noisy Bosonic Systems with Risk-Seeking Optimization
Riccardo Piantoni, Riccardo Pellini, Maurizio Ferrari Dacrema +1
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 prepara…
Sparse Phase Ansatzes for Resource-Efficient Qudit State Preparation via the SNAP-Displacement Protocol
Maurizio Ferrari Dacrema, Doga Murat Kurkcuoglu, Andy C. Y. Li +2
Efficient preparation of nonclassical bosonic states is a central requirement for quantum computing, simulation, and precision metrology. We study resource-efficient quantum state…
Separating Ansatz Discovery from Deployment on Larger Problems: Reinforcement Learning for Modular Circuit Design
Gloria Turati, Simone Foderà, Riccardo Nembrini +2
As quantum computing continues to gain attention, there is growing interest in how classical machine learning can assist quantum workflows in practice. Automated circuit design, so…