Projects per year
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Collaborations and top research areas from the last five years
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(MURI) Superconducting Reservoir Computers for Quantum Memory and Information Processing
Tureci, H. E. (PI)
Air Force Office of Scientific Research
5/1/22 → 4/30/25
Project: Research project
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Photon-mediated Interactions in Superconducting Circuits as a New Tool to Study Emergent Phenomena Far from Equilibrium
Tureci, H. E. (PI)
7/1/16 → 6/30/26
Project: Research project
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Reservoir Computing as a General Framework for a Comparative Study of Classical and Quantum Information Processing
Tureci, H. E. (PI)
Air Force Office of Scientific Research
8/1/20 → 7/31/24
Project: Research project
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Microlasers as a Platform to Study Fluctuations in Non-Hermitian Dynamical Systems
Tureci, H. E. (PI)
NSF - National Science Foundation
12/1/16 → 11/30/20
Project: Research project
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Stabilizing Quantum Information through Dissipation - Research Area 6: Physics
Tureci, H. E. (PI)
6/15/15 → 1/14/17
Project: Research project
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Negative electrohydrostatic pressure between superconducting bodies
Maldonado, T. J., Pham, D. N., Amaolo, A., Rodriguez, A. W. & Türeci, H. E., Jul 1 2024, In: Physical Review B. 110, 1, 014508.Research output: Contribution to journal › Article › peer-review
Open Access -
Practical Trainable Temporal Postprocessor for Multistate Quantum Measurement
Khan, S. A., Kaufman, R., Mesits, B., Hatridge, M. & Türeci, H. E., Apr 2024, In: PRX Quantum. 5, 2, 020364.Research output: Contribution to journal › Article › peer-review
Open Access -
Efficient computation of coherent multimode instabilities in lasers using a spectral approach
Kacmoli, S., Khan, S. A., Gmachl, C. F. & Türeci, H. E., 2023, In: New Journal of Physics. 25, 11, 113030.Research output: Contribution to journal › Article › peer-review
Open Access -
Flux-based three-dimensional electrodynamic modeling approach to superconducting circuits and materials
Pham, D. N., Fan, W., Scheer, M. G. & Türeci, H. E., May 2023, In: Physical Review A. 107, 5, 053704.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Tackling Sampling Noise in Physical Systems for Machine Learning Applications: Fundamental Limits and Eigentasks
Hu, F., Angelatos, G., Khan, S. A., Vives, M., Türeci, E., Bello, L., Rowlands, G. E., Ribeill, G. J. & Türeci, H. E., Oct 2023, In: Physical Review X. 13, 4, 041020.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations