9 citations · 9 across the 2 of their papers we have counts for
7 papers · 1 filter
Efficient Hamiltonian, structure and trace distance learning of Gaussian states
Marco Fanizza, Cambyse Rouzé, Daniel Stilck França
In this work, we initiate the study of Hamiltonian learning for positive temperature bosonic Gaussian states, the quantum generalization of the widely studied problem of learning G…
Efficient thermalization and universal quantum computing with quantum Gibbs samplers
Cambyse Rouzé, Daniel Stilck França, Ãlvaro M. Alhambra
The preparation of thermal states of matter is a crucial task in quantum simulation. In this work, we prove that a recently introduced, efficiently implementable dissipative evolut…
Energy preserving evolutions over Bosonic systems
Paul Gondolf, Tim Möbus, Cambyse Rouzé
The exponential convergence to invariant subspaces of quantum Markov semigroups plays a crucial role in quantum information theory. One such example is in bosonic error correction…
Sample Complexity of Locally Differentially Private Quantum Hypothesis Testing
Hao-Chung Cheng, Christoph Hirche, Cambyse Rouzé
Quantum state discrimination is an important problem in many information processing tasks. In this work we are concerned with finding its best possible sample complexity when the s…
Information-theoretic generalization bounds for learning from quantum data
Matthias Caro, Tom Gur, Cambyse Rouzé +2
Learning tasks play an increasingly prominent role in quantum information and computation. They range from fundamental problems such as state discrimination and metrology over the…
Rapid thermalization of dissipative many-body dynamics of commuting Hamiltonians
Jan Kochanowski, Alvaro M. Alhambra, Angela Capel +1
Quantum systems typically reach thermal equilibrium rather quickly when coupled to a thermal environment. The usual way of bounding the speed of this process is by estimating the s…