- AI-driven Automated Attack Response Strategy Generation System
- Development of Value-Added Resource Conversion Technology for Waste Plastic Pyrolysis Products
- Development of Wearable Neuromorphic Heterogeneous Integration Platform for SPAD-fNIRS-Based Pain Signal Quantification
- Identification of Novel Disease Markers Using Depression Patient-Derived iPSCs
- Development of Sustainable and Highly Functional Polymer Synthesis and Application Technologies for Future Mobility Regulatory Compliance
- AI-driven Discovery of Targeted Protein Degraders — CRBN-based Molecular Glue Degraders
- Ultra-Low-Latency Storage-Driven I/O Subsystem for Large Language Models
- Intelligent E-Skin Foundry Platform
- Korea Sustainable Hybrid Intensification for Fractionation Technology (K-SHIFT)
- kaist_prj10
- ARC-H2: Autonomous Robotics-driven Catalysts for Hydrogen with High Durability
- PFAS-free Research Initiative for Macromolecular Energy materials (PRIME)
- Center for Divertor Science and Innovation in Fusion Energy (D-SINE)
- Quantum teleportation with quantum dot photons of different colors using a system of PIC and ASIC
- Development of AI-Based Super-Gap Core Technology for Next-Generation Eco-Friendly Free-Form Displays
- Net-zero Seawater Refinery; An AI-Based Integrated Refinery Platform for Carbon Capture and Resource Recovery from Seawater
- Transcendent Material Innovation of Phase Transition Artificial Muscles for Soft Robotics
- Development of an AX-based Intelligent Disaster Prevention Platform for Ultra-Safe SMR Construction Against Extreme External Hazards
- nEAR-LINK Initiative: In-Ear Affective BCI-AI Research Network
- Center of AI-BASE (Brain Architecture, Simulation & Engineering)
- Spin-based Neuromorphic/Quantum Hardware Platform
- Green Carbon Capture via AI-assisted Chloroplast DNA Editing
- Digital Health Technologies for Prediction and Intervention in Neurodegenerative Diseases
- Development of AI-Biofoundry Integrated Platform for Rapid On-Site Detection of Polycarbonate Microplastics and BPA Upcycling
Spin-based Neuromorphic/Quantum Hardware Platform
KEYWORDKeyword
OBJECTIVE Objective
To develop ultra-low-power neuromorphic hardware and on-chip quantum hybrid platforms based on altermagnetic/orbital materials and spin quasiparticles (domain walls, skyrmions, and magnons), and to demonstrate physical brain emulation and quantum information transfer.
INTRODUCTION Director's Message
Artificial intelligence and quantum technologies are key drivers of future scientific and industrial competitiveness.
Our research team aims to overcome the limitations of conventional electronics by leveraging world-class expertise in spintronics.
By utilizing the dynamics of spin quasiparticles such as domain walls, skyrmions, and magnons, we seek to develop ultra-low-power neuromorphic hardware and next-generation quantum hybrid platforms.
Through close collaboration between KAIST and KRISS, we will foster global research leaders and
establish a world-leading hub for AI and quantum technologies.
IMPACT Impact
Development of spintronic neuromorphic and quantum hardware technologies
Realization of digital-twin hardware platforms for brain disease modeling and prediction
Advancement of magnon-based quantum hybrid systems and quantum gate operations
Leadership in next-generation strategic technologies integrating AI, quantum science, and spintronics
Establishment of a global research hub through KAIST-KRISS collaboration
Technology transfer and industrial impact in semiconductor, AI, and quantum sectors
TALENT Ideal Talent
We aim to cultivate creative and globally competitive researchers
who can integrate spintronics, artificial intelligence, and quantum information science to pioneer future technologies.
Researchers will be trained with interdisciplinary expertise spanning materials development, device fabrication, precision measurements, theoretical modeling, and international collaboration.