Interdisciplinary Dialogue

Bridging Quantum and Classical Computing: Insights Into the Next Era of Interdisciplinary Science

In this dialogue, we will explore the fascinating world of quantum computing and its potential to enhance classical high performance computing as well as help with quantum problems. We will discuss quantum information, algorithms, parallelism, and simulators, showcasing how quantum computing can address interdisciplinary scientific challenges. Join us as we reflect on unique career paths and uncover the practical and transformative potential of combining quantum and classical computing to address grand challenges and solve important problems.

Plenary Speakers

Nana Liu is an associate professor and PI of the Quantum Information and Technologies (QIT) group in the Institute of Natural Sciences at Shanghai Jiao Tong University and the University of Michigan-Shanghai Jiao Tong University Joint Institute. She received her PhD from the University of Oxford as a Clarendon Scholar in 2016. She is also the 2019 recipient of the MIT Technology Review’s 10 Innovators under 35 in the Asia-Pacific region. Her research focus is on employing quantum resources for quantum computation, with a current focus on quantum algorithms for ordinary and partial differential equations. Her research also lies at the interface between quantum computation, security and machine learning.

Florina Ciorba is an Associate Professor of High Performance Computing at the University of Basel. She was a senior scientist at TU Dresden (2010-2015) and a postdoc at Mississippi State University (2008-2010). She earned her Ph.D. in Computer Engineering from NTUA, Greece, in 2008. Florina and co-authors won best paper awards at Cluster 2019, IPDPSW ParLearning 2014, ICPDC 2014, and ISPDC 2011, 2023. She is a member of ACM (Life & Senior), IEEE, OpenMP ARB, SPEC HPG, and HiPEAC, and a founding member of IDEAS4HPC – a Swiss Chapter of WHPC. Her research focuses on scalable performance optimization, system and application observability and data analytics, and security in HPC.