The project QuReCo has three main objectives
- Characterization and quantum simulation of QRC: We will assess the range of efficient tasks solved by QRC, characterize the optimal – possibly
task dependent – reservoir architecture and develop quantum simulation of QRCs on Amazon Web Service quantum computers (AWS Braket).
One of the key goals of QuReCo is the true implementation of a QRC, and the complete characterization of the impact on its performance of the features that define the specific platform used for its quantum simulation. We will explore the application of QRC to quantum state estimation and quantum thermometric applications. We will further design a QRC based on a quantum optical platform with potential applications in quantum communication and sensing. - Quantification and impact of memory effects: We will push forward the understanding of the interplay between memory effects in quantum systems and QRC protocols. Exploiting the most recent mathematical and conceptual tools developed within the context of the theory of open
quantum systems, we will investigate the impact of realistic kinds of noise on the performance of QRC, and, conversely, how the latter can be used to access properties of general open-system dynamics. The focus will be on dynamical quantities that allow us for a detailed characterization of the information exchange between the system of interest and its environment. - Energetic characterization of QRC: As in any other device (classical or quantum) performing complex tasks, the energetic optimization of QRC is an essential requisite to improve performances that are expected to be
achieved for zero energy losses. Moreover, whenever one deals with a complex quantum system composed of multiple parts, it is important to investigate at a fundamental level how quantum operations (involving resources as quantum coherence and correlations) are accompanied by characteristic energy exchanges and unavoidable entropy productions leading to losses and dynamics irreversibility.