The Quantum Matter & Devices (QMD) Lab exploits quantum physics to manipulate electrons, photons and atoms in quantum materials and artificial quantum systems, with the aim to uncover novel quantum phenomena & new states of matter and to explore innovative applications in quantum information processing or nanotechnology (such as nanoelectronics and nanosensors). Our research topics include both nano/solid state physics (graphene & 2D materials, topological insulators), atomic/molecular physics (Bose-Einstein condensates, polar molecules) and related applications.
Quantum Informatics and Data Analytics Team
The Purdue Quantum Informatics and Data Analytics Team is a collaboration between the Purdue Quantum Science and Engineering Institute at Discovery Park, the Institute for Business Analytics at Krannert School of Management, and the Center for Systems in College of Engineering. We use quantum information science, quantum computing, and quantum algorithms to solve real-world problems such as optimization, data science, business, finance, and economics.
Yong Chen - Director of Purdue Quantum Science and Engineering Institute
Karl Lark-Horovitz Professor of Physics and Astronomy, Professor of Electrical and Computer Engineering
BRK 1287B Group Website
PHYS 344 Group Website
I am interested in experimentally accessible explanations for how the world works. Professionally, I conduct research in high energy physics to investigate the structures of reality that underlie our everyday experiences of matter, energy, space and time.
Thomas Duncan Distinguished Professor of Electrical and Computer Engineering
WANG 3047 Group Website
Spin electronics, nanoscale energy conversion, molecular electronics and mesoscopic superconductivity
James J. Solberg Head and Tompkins Chair of Systems, School of Industrial Engineering
Distributed Decision-Making, System Complexity, Mechanism Design, Healthcare Policy, and Cyberinfrastructure for Engineering Applications
Associate Professor of Physics and Astronomy
PHYS 374 Group Website
The research focus of the group is on understanding the structure of the most fundamental building blocks of matter. The instruments required to shed more light on the origin of the structure of elementary particles and their masses are huge. Members of the group perform measurements using data collected with the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (CERN). Enormous amounts of data are needed to find out more about this most fundamental question. Amongst all elementary particles the top quark is the most special quark with a mass close to that of an entire gold atom. Our current understanding is that the Higgs mechanism gives mass to the top quark. The measurements of the group are employing data enriched in top quarks (and also Higgs bosons) to study very precisely the special connection between those two fundamental particles and to search for any evidence of contributions beyond the Standard Model. We are also involved in Research and Development for novel silicon pixel detectors and low mass support structures. This research involves cutting edge materials such as carbon fiber, carbon foam and light-weight Aluminum alloys for example Aluminum Carbon fiber. The in-house Purdue Silicon Detector Lab, or PSDL, allows to produce and build support structure prototypes and silicon detector modules. We perform thermal simulations and comparisons to data taken with a CO2 cooling setup, and we collaborate for this research with Cornell, Fermilab, CERN, and other institutes in the US, Europe and world-wide.
Distinguished Professor of Chemistry, Distinguished Professor of Electrical and Computer Engineering
WTHR 265G Group Website
Electronic Structure of Finite Systems (Finite Size Scaling Method in Quantum Mechanics, Dimensional Scaling and Critical Phenomena, Renormalization Group Methods for Electronic Structure, Pivot Method for Global Optimization), Quantum Information and Quantum Computing (Adiabatic Quantum Computing, Study of Entanglement and Quantum Phase Transitions, Quantum Computing and Quantum Algorithms, Overview of Kais Research in Quantum Information and Computation)