Quantum Materials Interfaces
and Nano Devices Laboratory

Q.MIND Lab is a research group established in January 2024 at the Department of Semiconductor Engineering, Gwangju Institute of Science and Technology. We all live in a new era of hyper-Moore’s Law that demands increasing information density, data processing capacity, and energy efficiency within a given wafer footprint, going beyond the traditional approach of shrinking the device structure size or increasing the number of transistors. Accordingly, we are focused on contributing to the evolution of device architectures that transcend the current state-of-the-art Silicon technologies, encompassing artificial intelligence and quantum computing, ultimately enabling their integration of monolithic systems into CMOS processes.

(1) Our research group is currently dedicated to laying the foundations as a starting lab. As initial members, you can learn a lot while building the lab and achieve great results with solid support and close care directly from your academic advisor, Prof. Yoon, much more than ever. If you are an ambitious dreamer and want to become a rising scientist or a leading engineer, please do not hesitate to join our group.

(2) Our research direction is to explore various quantum materials and the exotic phenomena at their interfaces, aiming for their devices to creep toward manufacturing and real-world applications.

(3) Our research topics have 4 categories: (1) artificial intelligent sensors (miniaturized computational spectrometers, avalanche photodetectors, spectrally selective bolometers), (2) more than Moore devices (topological insulating dielectrics, multi-valued logic gates, optical synaptic devices), (3) electron quantum optics (quantum point contacts, Vesleago lens & Klein collimators, Aharonov-Bohm interferometers), and (4) quantum phase transitions (van der Waals Josephson junctions, chiral charge density waves, Majorana Fermions). These meet hot trends in artificial intelligence semiconductors and quantum computing hardware, providing core technologies for on-device AI (processing-in-sensors embedded with artificial intelligent algorithms), autonomous driving (wide-angle motion tracking sensor), big data (multi-valued logic gates encoded at the speed of light), hyper-connectivity (optoelectronic on-chip and chip-to-chip networks), hybrid qubit platforms (superconducting junctions coupled with electron interferometers), etc. Please check the Research page for more details.

(4) Our research methodologies integrate engineering means and goals to form an essential medium linking data collection and processing and combine multiple domestic and international collaborative experiments.

(5) Our novel devices may lead the next-generation semiconductor industry and potentially solve social problems by offering technical solutions for unemployment, poverty, environment, climate change, resource shortage, war, aging, etc.

(6) Our group members will gain extensive training covering condensed matter physics, material/device processing/fabrication/characterization, electronic/optoelectronic/photonic applications, artificial intelligence, quantum science, industrial integration, etc.

(7) Our group environment promotes work-life balance, believing that excellent research results are driven by insights and motivations from a balanced life. Please check our contact page for more details. Please check the Contact page for more details.

Artificially Intelligent Sensors

More than Moore Devices

Electron Quantum Optics

Quantum Phase Transitions