Yihui Quek - RankMe

24 papers A* 1A 1B 2Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Post-Quantum Cryptography from Quantum Stabilizer Decoding. CoRR Jonathan Z. Lu, Alexander Poremba, Yihui Quek, Akshar Ramkumar
2026	A	`conf`	The Learning Stabilizers with Noise Problem. ITCS Alexander Poremba, Yihui Quek, Peter W. Shor
2025	J	`jnl`	Information-Computation Gaps in Quantum Learning via Low-Degree Likelihood. CoRR Sitan Chen, Weiyuan Gong, Jonas Haferkamp, Yihui Quek
2025	J	`jnl`	Quantum advantage from random geometrically-two-local Hamiltonian dynamics. CoRR Yihui Quek
2024	J	`jnl`	Multivariate trace estimation in constant quantum depth. Quantum Yihui Quek, Eneet Kaur, Mark M. Wilde
2024	J	`jnl`	The Learning Stabilizers with Noise problem. CoRR Alexander Poremba, Yihui Quek, Peter W. Shor
2024	J	`jnl`	The Learning Stabilizers with Noise problem. IACR Cryptol. ePrint Arch. Alexander Poremba, Yihui Quek, Peter W. Shor
2023	J	`jnl`	Bounding the Forward Classical Capacity of Bipartite Quantum Channels. IEEE Trans. Inf. Theory Dawei Ding, Sumeet Khatri, Yihui Quek, Peter W. Shor, Xin Wang, Mark M. Wilde
2023	J	`jnl`	Learning quantum states and unitaries of bounded gate complexity. CoRR Haimeng Zhao, Laura Lewis, Ishaan Kannan, Yihui Quek, Hsin-Yuan Huang, Matthias C. Caro
2022	J	`jnl`	A single T-gate makes distribution learning hard. CoRR Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke
2022	J	`jnl`	Multivariate trace estimation in constant quantum depth. CoRR Yihui Quek, Mark M. Wilde, Eneet Kaur
2021	J	`jnl`	Learnability of the output distributions of local quantum circuits. CoRR Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke
2021	A*	`conf`	Private learning implies quantum stability. NeurIPS Yihui Quek, Srinivasan Arunachalam, John A. Smolin
2021	J	`jnl`	Private learning implies quantum stability. CoRR Srinivasan Arunachalam, Yihui Quek, John A. Smolin
2021	B	`conf`	Upper bound on the classical capacity of a quantum channel assisted by classical feedback. ISIT Dawei Ding, Sumeet Khatri, Yihui Quek, Peter W. Shor, Xin Wang, Mark M. Wilde
2020	J	`jnl`	Bounding the forward classical capacity of bipartite quantum channels. CoRR Dawei Ding, Sumeet Khatri, Yihui Quek, Peter W. Shor, Xin Wang, Mark M. Wilde
2020	J	`jnl`	Quantum algorithm for Petz recovery channels and pretty good measurements. CoRR András Gilyén, Seth Lloyd, Iman Marvian, Yihui Quek, Mark M. Wilde
2020	J	`jnl`	Robust quantum minimum finding with an application to hypothesis selection. CoRR Yihui Quek, Clément L. Canonne, Patrick Rebentrost
2019	B	`conf`	Entropy Bound for the Classical Capacity of a Quantum Channel Assisted by Classical Feedback. ISIT Dawei Ding, Yihui Quek, Peter W. Shor, Mark M. Wilde
2019	J	`jnl`	Entropy Bound for the Classical Capacity of a Quantum Channel Assisted by Classical Feedback. CoRR Dawei Ding, Yihui Quek, Peter W. Shor, Mark M. Wilde
2019	J	`jnl`	Minimum Power to Maintain a Nonequilibrium Distribution of a Markov Chain. CoRR Dmitri S. Pavlichin, Yihui Quek, Tsachy Weissman
2018	J	`jnl`	Adaptive Quantum State Tomography with Neural Networks. CoRR Yihui Quek, Stanislav Fort, Hui Khoon Ng
2017	J	`jnl`	Quantum and Super-quantum enhancements to two-sender, two-receiver channels. CoRR Yihui Quek, Peter W. Shor
2014	J	`jnl`	Generalized Robust Shrinkage Estimator and Its Application to STAP Detection Problem. IEEE Trans. Signal Process. Frédéric Pascal, Yacine Chitour, Yihui Quek