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. …

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 …

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 note, the distributed leaderless consensus problem of multiple Euler–Lagrange systems
under switching directed graphs using only position measurements is investigated. We …

In this paper we extend our previous research on coherent observer-based pole placement
approach to study the synthesis of robust decoherence-free (DF) modes for linear quantum …

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 …

Ising annealer is a promising quantum-inspired computing architecture for combinatorial
optimization problems. In this paper, we introduce an Ising annealer based on the Hamiltonian …

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 …