A paper by CTAMOP PhD student Pierpaolo Sgroi and Head of School Prof. Mauro Paternostro has been selected to adorn the front cover of Physical Review Letters.
The letter reports on a new scheme for reducing entropy production in a quantum system, and features not only the scientific prowess of its authors, but also the artistic flair of Prof Paternostro, whose 007 inspired diagram graces front cover of the journal.
Reinforcement learning: An agent observes the environment acquiring its state (straight arrow), then decides to implement an action (upper curved arrow) thus updating the environment state for the next step. Based on the outcomes an interpreter grants the agent a reward R (lower curved arrow), which the agent aims to maximize.
Congratulations to Pierpaolo, Mauro and their Co-author G. Massimo Palma from UNIPA (Palermo) on this distinction.
About CTAMOP:
We are a Research Cluster of the School of Mathematics and Physics at Queen’s University Belfast in Northern Ireland. Our research interests are focused primarily on computational and theoretical physics.
The Old Physics Building, where
CTAMOP is situated.
This site utilises cookies for basic functionality, details of which can be viewed by clicking "View Policy". By clicking “Accept”, you consent to the use of ALL cookies.
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.