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quant-ph2024
Regularization of Riemannian optimization: Application to process tomography and quantum machine learning
Felix Soest, Konstantin Beyer, Walter T. Strunz
Gradient descent algorithms on Riemannian manifolds have been used recently for the optimization of quantum channels. In this contribution, we investigate the influence of various…
quant-ph2020
Work as an external quantum observable and an operational quantum work fluctuation theorem
Konstantin Beyer, Kimmo Luoma, Walter T. Strunz
We propose a definition of externally measurable quantum work in driven systems. Work is given as a quantum observable on a control device which is forcing the system and can be de…
quant-ph2019
Steering heat engines: a truly quantum Maxwell demon
Konstantin Beyer, Kimmo Luoma, Walter T. Strunz
We address the question of verifying the quantumness of thermal machines. A Szilárd engine is truly quantum if its work output cannot be described by a local hidden state (LHS) mod…