Guo-Xing Miao, P.Eng, Professor

Dr. Guo-Xing Miao is Professor in the Department of Electrical and Computer Engineering, member of the Institute for Quantum Computing (IQC), Director of Nanotechnology Engineering (NE), and Director of Quantum Information (QI) Graduate program at the University of Waterloo.

Advances in modern technology have reached a point where precise control over individual spins or charge carriers is now a practical reality. Professor Miao’s research group concentrates on a specific quantum property of electrons—their spin degrees of freedom. Spin-based information can be stored, transmitted, and manipulated across both classical and quantum regimes. In nanoelectronic systems, the interplay between spins and ions - central to spin-iontronics - offers a powerful platform for precise spin control and dynamic monitoring. The ability to integrate complex spin systems, ion platforms, topological phases, and superconductors offers a distinct advantage for bottom-up materials design and fabrication, while maintaining scalability and compatibility with mass production. With wafer-scale quantum material heterostructures, it becomes possible to engineer non-Abelian quasiparticles and embed fault-tolerant quantum information in their topological configurations. Further integrating ions into device architectures facilitates energy efficient hardware-level emulation of biological neural networks. Professor Miao’s research program prioritizes the creation of innovative materials and devices aimed at enabling high-performance, energy-efficient information processing systems, paving the way for technologies beyond the silicon era.

• Topological quantum computing, spin-iontronics, MBE, ionic neuromorphic computing, complex superconductivity, post-CMOS integration of quantum materials

• BSc, Shandong University, Jinan China

• MSc & PhD, Brown University, Providence USA

• PDF & Research Scientist, MIT, Cambridge USA

• 2017 Ontario Early Researcher Award

• PEng, Professional Engineers Ontario (PEO)

• Senior Member, Institute of Electrical and Electronics Engineers (IEEE)

• Member, Materials Research Society (MRS)

• Member, American Physical Society (APS)

• Member, American Chemical Society (ACS)

• ECE 231 - Semiconductor Physics and Devices
  • Taught in 2023
• ECE 403 - Thermal Physics
  • Taught in 2020, 2021, 2022
• ECE 405D - Superconducting Quantum Circuits
  • Taught in 2025
• ECE 630 - Physics and Models of Semiconductor Devices
  • Taught in 2020, 2021
• ECE 635 - Fabrication in the Nanoscale: Principles, Technology, & Applications
  • Taught in 2024
• ECE 730 - Special Topics in Solid State Devices
  • Taught in 2025
• NANO 600 - Introduction to Nanotechnology
  • Taught in 2021, 2023, 2025
• NANO 601 - Characterization of Nanomaterials
  • Taught in 2022, 2023, 2024, 2025
• NE 353 - Nanoprobing and Lithography
  • Taught in 2024
• QIC 890 - Topics in Quantum Information
  • Taught in 2025

* Only courses taught in the past 5 years are displayed.

• Silva G.V.D.O., Ghosh L., Islam R., Araujo C.I.L.D., Miao G.-X., Voltage-Driven All-Solid-State Ionic Control on Co/CoO Antiferromagnet/Ferromagnet Exchange Bias, ACS Nano, 19, 20799, 2025

• Shi Y., Sachdev M., Miao G.-X., Stack Optimization of TiOx Based Resistive Switching Devices through Interface Engineering, IEEE Trans. Electron Dev., 72, 2964, 2025

• Peng Y., He R., Li P., Zhdanovich S., Michiardi M., Gorovikov S., Zonno M., Damascelli A., and Miao G.-X., Flat Band Generation Through Interlayer Geometric Frustration in Intercalated Transition Metal Dichalcogenides, Small, 21, 2409535, 2025.

• Shi Y., Sachdev M., and Miao G.-X., State-Aware Multibit Write Algorithm for TiOx-Based Resistive Switching Memory Devices, IEEE Transactions on Electron Devices, 72, 659-664, 2025.

• Wang C., Chen B., Wang T., Silva G.V.D.O., Xu Z., Miao G.-X., Huang Y., and Fu J., Sustainable interface regulation enabled by a bismuth solid-state surfactant effect for Zn-free anodes, Energy and Environmental Science, 17, 5429-5439, 2024.

• Islam R., Shi Y., de Oliveira Silva G.V., Sachdev M., and Miao G.-X., Volatile and Nonvolatile Programmable Iontronic Memristor with Lithium Imbued TiOx for Neuromorphic Computing Applica, ACS Nano, Volume 18, 22045-22054, 2024.

• Xie M.-H., Wang H.-T., Li X.-J., Han G.-J., Yang Y.-Q., Shi X.-Y., Lin S.-Y., Miao G.-X., Yang M.-H., and Fu J., Magnetically Enhanced Oxygen Evolution Reaction in Mild Alkaline Electrolytes by Building Catalysts on Magnetic Frame, Small, 20, 2405946, 2024.

• Islam R., Li P., Beg M., Sachdev M., and Miao G.-X., Helimagnet-based nonvolatile multi-bit memory units, Applied Physics Letters, 122, 152407, 2023.

• Liu H., Gu F., Sang X., Han Y., Zou F., Li Z., Qin Y., Cai L., Pan Y., Cao Q., Miao G.-X., and Li Q., Surface Ferromagnetism of FeO Nanoparticles Revealed by Operando Magnetoelectrochemical Measurements, Physical Review Applied, 19, 054022, 2023.

• Zhou A., Li Y., Zhang S., Huang Y., Xue Q., Wang L., Zhao G., Cao D., Xu J., Jin Z., Zong W., Wang X., Li S., and Miao G.-X., Electric-field tunable rotation of optical mode ferromagnetic resonance in FeCoB/Ru/FeCoB/PMN-PT multilayers, Journal of Alloys and Compounds, 901, 163475, 2022.

• Li H., Hu Z., Xia Q., Zhang H., Li Z., Wang H., Li X., Zuo F., Zhang F., Wang X., Ye W., Li Q., Long Y., Li Q., Yan S., Liu X., Zhang X., Yu G., and Miao G.-X., Operando Magnetometry Probing the Charge Storage Mechanism of CoO Lithium-Ion Batteries, Advanced Materials, 33, 2006629, 2021.

• Li Q., Li H., Xia Q., Hu Z., Zhu Y., Yan S., Ge C., Zhang Q., Wang X., Shang X., Fan S., Long Y., Gu L., Miao G.-X., Yu G., and Moodera J.S., Extra storage capacity in transition metal oxide lithium-ion batteries revealed by in situ magnetometry, Nature Materials, 20, 76-83, 2021.

• Long G., Xue Q., Li Q., Shi Y., Li L., Cheng L., Li P., Zhang J., Zhang X., Guo H., Fu J., Li S., Moodera J.S., and Miao G.-X., Interfacial Control via Reversible Ionic Motion in Battery-Like Magnetic Tunnel Junctions, Advanced Electronic Materials, 7, 2100512, 2021.

• Li Z., Zhang Y., Li X., Gu F., Zhang L., Liu H., Xia Q., Li Q., Ye W., Ge C., Li H., Hu H., Li S., Long Y.-Z., Yan S., Miao G.-X., and Li Q., Reacquainting the Electrochemical Conversion Mechanism of FeS2 Sodium-Ion Batteries by Operando Magnetometry, Journal of the American Chemical Society, Volume 127, 12800-12808, 2021.

• Zhang F., Li Z., Xia Q., Zhang Q., Ge C., Chen Y., Li X., Zhang L., Wang K., Li H., Gu L., Yan S., Miao G.-X., and Li Q., Li-ionic control of magnetism through spin capacitance and conversion, Matter, 4, 3605-3620, 2021.

• Programmable iontronic neural networks