1 citations · 1 across the 2 of their papers we have counts for
4 papers · 1 filter
Provably Efficient Learning of Phases of Matter via Dissipative Evolutions
Emilio Onorati, Cambyse Rouzé, Daniel Stilck França +1
The combination of quantum many-body and machine learning techniques has recently proved to be a fertile ground for new developments in quantum computing. Several works have shown…
Limitations of local update recovery in stabilizer-GKP codes: a quantum optimal transport approach
Robert König, Cambyse Rouzé
Local update recovery seeks to maintain quantum information by applying local correction maps alternating with and compensating for the action of noise. Motivated by recent constru…
Sufficient statistic and recoverability via Quantum Fisher Information metrics
Li Gao, Haojian Li, Iman Marvian +1
We prove that for a large class of quantum Fisher information, a quantum channel is sufficient for a family of quantum states, i.e., the input states can be recovered from the outp…
Finite blocklength and moderate deviation analysis of hypothesis testing of correlated quantum states and application to classical-quantum channels with memory
Cambyse Rouze, Nilanjana Datta
Martingale concentration inequalities constitute a powerful mathematical tool in the analysis of problems in a wide variety of fields ranging from probability and statistics to inf…