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quant-ph2026
Quantum model reduction based on Oja's flow
Miguel Casanova, Kentaro Ohki, Francesco Ticozzi
We propose a novel approach to numerically derive approximate reduced dynamical models for Markovian quantum open systems without perturbative iterations, projecting the evolution…
quant-ph2024
Finding Quantum Codes via Riemannian Optimization
Miguel Casanova, Kentaro Ohki, Francesco Ticozzi
We propose a novel optimization scheme designed to find optimally correctable subspace codes for a known quantum noise channel. To each candidate subspace code we first associate a…
quant-ph2023
Exploring the Robustness of stabilizing controls for stochastic quantum evolutions
Weichao Liang, Kentaro Ohki, Francesco Ticozzi
In this work we analyze and bound the effect of modeling errors on the stabilization of pure states or subspaces for quantum stochastic evolutions. Different approaches are used fo…