In this paper, we extend our previous research on design of coherent observers for open
quantum systems (as quantum plants) to the case where there exist unknown inputs in the …

The primary challenge in advancing practical quantum technology is the presence of noise,
which can lead to decoherence and undermine the advantages of quantum systems. …

Deep reinforcement learning (deep RL) has enabled human- or superhuman- performances
in various applications. Recently, deep RL has also been adopted to improve the …

In this paper, the synthesis of robust memory modes for linear quantum passive systems in
the presence of unknown inputs has been studied, aimed at facilitating secure storage and …

The purpose of this paper is to investigate the extension of the Luenberger observer design
approach to linear quantum stochastic systems to obtain coherent quantum observers. We …

The theory of observers is a basic part of classical linear system theory. The purpose of this
paper is to develop a theory of coherent observers for linear quantum systems. We provide a …

Efficient and systematic numerical methods for robust control design are highly desired in
the study of quantum systems, since system imperfections such as uncertainties or …

This theoretical proposal investigates how resonant interactions occurring when a harmonic
oscillator is fed with a stream of entangled qubits allow us to stabilise squeezed states of the …

Quantum Markovian systems, modeled as unitary dilations in the quantum stochastic calculus
of Hudson and Parthasarathy, have become standard in current quantum technological …

In this paper, we continue our investigation on controlling the state of a quantum harmonic
oscillator, by coupling it to a reservoir composed of a sequence of qubits. Specifically, we …