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Journal Articles
- 2019
[j1]Jesse Michel, Sushruth Reddy, Rikhav Shah, Sandeep Silwal, Ramis Movassagh
:
Directed random geometric graphs. J. Complex Networks 7(5): 792-816 (2019)
Conference and Workshop Papers
- 2023
- [c3]Amira Abbas, Robbie King, Hsin-Yuan Huang, William J. Huggins, Ramis Movassagh, Dar Gilboa, Jarrod R. McClean:
On quantum backpropagation, information reuse, and cheating measurement collapse. NeurIPS 2023 - 2021
- [c2]Yasuhiro Kondo, Ryuhei Mori, Ramis Movassagh:
Quantum supremacy and hardness of estimating output probabilities of quantum circuits. FOCS 2021: 1296-1307 - 2011
- [c1]Christ D. Richmond, Robert L. Geddes, Ramis Movassagh, Alan Edelman:
Performance of sample covariance based capon bearing only tracker. ACSCC 2011: 2036-2039
Informal and Other Publications
- 2024
- [i8]Weishun Zhong, Oles Shtanko, Ramis Movassagh:
Advantage of Quantum Neural Networks as Quantum Information Decoders. CoRR abs/2401.06300 (2024) - [i7]Sam Gunn, Ramis Movassagh:
Quantum One-Time Protection of any Randomized Algorithm. IACR Cryptol. ePrint Arch. 2024: 1798 (2024) - 2023
- [i6]Amira Abbas, Robbie King, Hsin-Yuan Huang, William J. Huggins, Ramis Movassagh, Dar Gilboa, Jarrod R. McClean:
On quantum backpropagation, information reuse, and cheating measurement collapse. CoRR abs/2305.13362 (2023) - 2022
- [i5]Ramis Movassagh, Mario Szegedy, Guanyang Wang:
Repeated Averages on Graphs. CoRR abs/2205.04535 (2022) - 2021
- [i4]Lijie Chen, Ramis Movassagh:
Quantum Merkle Trees. CoRR abs/2112.14317 (2021) - 2019
- [i3]Ramis Movassagh:
Cayley path and quantum computational supremacy: A proof of average-case #P-hardness of Random Circuit Sampling with quantified robustness. CoRR abs/1909.06210 (2019) - [i2]Sergey Bravyi, David Gosset, Ramis Movassagh:
Classical algorithms for quantum mean values. CoRR abs/1909.11485 (2019) - 2018
- [i1]Jesse Michel, Sushruth Reddy, Rikhav Shah, Sandeep Silwal, Ramis Movassagh:
Directed Random Geometric Graphs. CoRR abs/1808.02046 (2018)
Coauthor Index
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