Daniel Liang - RankMe

25 papers A* 2A 2Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agnostic Tomography of Stabilizer Product States. Quantum Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
2025	J	`jnl`	Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates. Quantum Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
2025	—	`conf`	Hamiltonian Locality Testing via Trotterized Postselection. TQC John Kallaugher, Daniel Liang
2025	J	`jnl`	Hamiltonian Locality Testing via Trotterized Postselection. CoRR John Kallaugher, Daniel Liang
2025	A*	`conf`	Quantum State and Unitary Learning Implies Circuit Lower Bounds. COLT Nai-Hui Chia, Daniel Liang, Fang Song
2025	J	`jnl`	Query-Optimal Estimation of Unitary Channels via Pauli Dimensionality. CoRR Sabee Grewal, Daniel Liang
2025	A	`conf`	Reinforcement Learning Based Simulated Annealing. AAMAS Nathan Qiu, Daniel Liang
2024	J	`jnl`	Agnostic Tomography of Stabilizer Product States. CoRR Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
2024	A*	`conf`	Improved Stabilizer Estimation via Bell Difference Sampling. STOC Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
2024	—	`conf`	Low-Cost Generation and Evaluation of Dictionary Example Sentences. NAACL-HLT Bill Cai, Clarence Boon Liang Ng, Daniel Liang, Shelvia Hotama
2024	J	`jnl`	Pseudoentanglement Ain't Cheap. CoRR Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
2024	J	`jnl`	Tolerant Testing of Stabilizer States with Mixed State Inputs. CoRR Vishnu Iyer, Daniel Liang
2023	—	`conf`	An investigation on energy spectral information of computed tomography for machine learning in lesion classification. Computer-Aided Diagnosis Daniel Liang, David Liang, Alice Wei, Licheng Ryan Kuo, Shaojie Chang, Marc Jason Pomeroy, Yongfeng Gao
2023	J	`jnl`	Clifford Circuits can be Properly PAC Learned if and only if RP=NP. Quantum Daniel Liang
2023	J	`jnl`	Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates. CoRR Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
2023	J	`jnl`	Improved Stabilizer Estimation via Bell Difference Sampling. CoRR Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
2023	A	`conf`	Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom. ITCS Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
2022	J	`jnl`	Clifford Circuits can be Properly PAC Learned if and only if RP=NP. CoRR Daniel Liang
2022	J	`jnl`	Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom. CoRR Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
2022	J	`jnl`	On the Hardness of PAC-learning Stabilizer States with Noise. Quantum Aravind Gollakota, Daniel Liang
2021	—	`conf`	Characterization of Reversibly-Actuating Shape Memory Alloy Foils Produced By Planar Flow Casting. IEEE SENSORS Ling Chen, David Renshaw, Michael Kellam, Ritaban Dutta, Daniel Liang
2021	J	`jnl`	On the Hardness of PAC-learning stabilizer States with Noise. CoRR Aravind Gollakota, Daniel Liang
2020	J	`jnl`	Machine learning based approach for shape memory polymer behavioural characterization. Array Ritaban Dutta, David Renshaw, Cherry Chen, Daniel Liang
2019	—	`conf`	Applying Vision Based Predictive Modelling for Rapid Characterization of Shape Memory Polymer. BigMine@KDD Ritaban Dutta, David Renshaw, Hong Yin, Daniel Liang
2018	—	`conf`	An interactive architecture for industrial scale prediction: Industry 4.0 adaptation of machine learning. SysCon Ritaban Dutta, Heiko Mueller, Daniel Liang