【Date and Time】7-May-2026 10:30am (Beijing time)

【Venue】Room 320

【Host】 Guilu Long (Tsinghua Univ. & BAQIS)

【Language】English

【Title】Enhancing quantum information processing with neuromorphic approaches to data processing

【Speaker】 

Mauro is Full Professor of Quantum Information Science at the Department of Physics and Chemistry, University of Palermo, and Professor of Quantum Optics at Queen’s University Belfast (QUB). He was awarded his PhD in 2005 (QUB) and was a Leverhulme Trust Early Career Fellow (2005-2008) at QUB and Universit?t Wien (Austria), a visiting Research Fellow at University of Queensland (Australia, 2008), and an EPSRC Career Acceleration Fellow at QUB (2008-2014).

He became Lecturer at QUB in 2008, has been awarded an Alexander von Humboldt Fellowship for Senior Scientists in 2011. He has authored 300+ research papers published in top-tier journals, attracting 20000+ citations and € 20M+ of research funding.

He has contributed extensively – through both theory and experimental endeavours – to the development of quantum frameworks for cavity optomechanics, the understanding of the thermodynamics of quantum systems and processes, the development of machine learning-assisted tools for quantum characterization and control, and the assessment of the quantum to classical transition.

【Abstract】

I will illustrate how approaches to neuromorphic computing based on the use of uncontrolled reservoirs could help enhancing our ability to validate quantum processes and states, thus characterizing delicate features such as the entanglement between quantum systems in a resource-economic manner. I will show how the theoretical framework presented in this talk has been applied, quite successfully, to photonics-based quantum computers.