Greg Medwig

Medwig, G., Choi, S., Castillo, P. C., & Yu, K. (2024). Practical quantum approximate optimization algorithms on IBM quantum processors. In P. R. Hemmer & A. L. Migdall (Eds.), Quantum Computing, Communication, and Simulation IV (Vol. 11391, p. 53). https://doi.org/10.1117/12.3002940

Farella, B., Medwig, G., Abrahao, R. A., & Nomerotski, A. (2024). Spectral characterization of an SPDC source with a fast broadband spectrometer. AIP Advances. https://doi.org/10.1063/5.0168423

Richardson, H., Barahona, J., Medwig, G., Johns, A., Pérez, L. M. A., Sode, K., … Pavlidis, S. (2024). Towards monitoring of critical illness via the detection of histones with extended gate field-effect transistor sensors. Biosensors and Bioelectronics: X, 19, 100501. https://doi.org/10.1016/j.biosx.2024.100501

Pavlidis, S., Medwig, G., & Thomas, M. (2024). Ultrawide-Bandgap Semiconductors for High-Frequency Devices. IEEE MICROWAVE MAGAZINE, 25(10), 68–79. https://doi.org/10.1109/MMM.2024.3428193

Conley, R., Choi, D., Medwig, G., Mroczko, E., Wan, D., Castillo, P. C., & Yu, K. (2023). Quantum optimization algorithm for solving elliptic boundary value problems on D-Wave quantum annealing device. In P. R. Hemmer & A. L. Migdall (Eds.), Quantum Computing, Communication, and Simulation III (Vol. 11391, p. 29). https://doi.org/10.1117/12.2649076

Cordova, D., Medwig, G., Roy, A. V., & Karmakar, S. (2021). Artificial intelligence (AI) to study self-discharge batteries. 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 28, 0298–0302. https://doi.org/10.1109/uemcon53757.2021.9666507