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Dive into the research topics where Mario Szegedy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Collaborative Research: FET: Medium: Quantum Monte Carlo Speed Ups for Multilevel Computations and Other Statistical Algorithms
Szegedy, M. (PI) & Wang, G. (CoPI)
10/1/24 → 9/30/27
Project: Research project
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AF: Medium: Collaborative Research: Information Compression in Algorithm Design and Statistical Physics
Allender, E. (PI) & Szegedy, M. (CoPI)
6/15/15 → 5/31/20
Project: Research project
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AF: Small: Information Compression Arguments
Szegedy, M. (PI)
9/1/14 → 11/30/18
Project: Research project
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Ground States of Local Hamiltonians and Quantum PCPs
Szegedy, M. (PI)
9/1/13 → 8/31/14
Project: Research project
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Supplemental Funding for a Conference on: Combinatorics, groups, algorithms, and complexity; March 2010; Columbus, OH
Seress, Á. (PI) & Szegedy, M. (CoPI)
12/1/09 → 11/30/10
Project: Research project
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Generating k EPR-pairs from an n-party resource state
Bravyi, S., Sharma, Y., Szegedy, M. & de Wolf, R., 2024, In: Quantum. 8Research output: Contribution to journal › Article › peer-review
Open Access -
Rubik Tables and object rearrangement
Szegedy, M. & Yu, J., May 2023, In: International Journal of Robotics Research. 42, 6, p. 459-472 14 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Budgeted Steiner Networks: Three Terminals with Equal Path Weights
Szegedy, M. & Yu, J., 2022, p. 322-329. 8 p.Research output: Contribution to conference › Paper › peer-review
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Rubik Tables, Stack Rearrangement, and Multi-Robot Path Planning
Guo, T., Feng, S. W., Szegedy, M. & Yu, J., 2022, 2022 58th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2022. Institute of Electrical and Electronics Engineers Inc., (2022 58th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Efficient parallelization of tensor network contraction for simulating quantum computation
Huang, C., Zhang, F., Newman, M., Ni, X., Ding, D., Cai, J., Gao, X., Wang, T., Wu, F., Zhang, G., Ku, H. S., Tian, Z., Wu, J., Xu, H., Yu, H., Yuan, B., Szegedy, M., Shi, Y., Zhao, H. H. & Deng, C. & 1 others, , Sep 2021, In: Nature Computational Science. 1, 9, p. 578-587 10 p.Research output: Contribution to journal › Article › peer-review
Open Access39 Scopus citations