What is WINQ?
The Wallenberg Initiative for Networks and Quantum Information (WINQ) is a research initiative aimed at developing expertise in both networks theory and quantum information science in Sweden. The initiative is based at Nordita, which is a research institute for theoretical physics located in Stockholm.
WINQ is supported by the Knut and Alice Wallenberg foundation (KAW) and it is aimed at nurturing and bringing together expertise from both quantum information science and complex dynamical systems to address major open challenges in these fields.
Network science has grown rapidly over the last few decades, and finds applications in various fields, ranging from physical systems to biological networks. The research profiles at WINQ include both theoretical aspects, such as spatial-temporal multiscale systems, and applications to fields such as biology, as well as machine learning.
Quantum information science has similarly expanded to encompass a number of research directions, including the development of quantum computing, quantum sensing, and quantum communication protocols. The research focus of WINQ ranges from quantum information theory, quantum optics, quantum thermodynamics, relativistic quantum information theory, and more.
The initiative currently encompasses six postdoctoral research fellows who work at Nordita, as well as one junior faculty member who joined in February 2023.
WINQ at Nordita is in partnership with WASP and WACQT.
Our People
All People
Matthew de Courcy-Ireland
WINQ Assistant Professor
Niklas Engelhardt Önne
PhD Student
Maximilian Goll
PhD Student
Pauli Jokinen
PhD Student
Vinay Kumaraswamy
Nordita Postdoc
Soon Hoe Lim
WINQ Assistant Professor
Shizheng Lin
PhD Student
Andrea Maiani
WINQ Fellow
Marcos Morote Balboa
Master's Student
Ties Ohst
Guest Researcher
Rick Perche
Nordita Postdoc
Sofia Qvarfort
WINQ Assistant Professor
Othmane Rih
PhD Student
Henri Riihimäki
WINQ Fellow
Sebastian Schlösser
PhD Student
Hanlin Sun
WINQ Fellow
Roope Uola
WINQ Assistant Professor
Zhichen Zhou
PhD Student