Mile Gu - RankMe

21 papers Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ideal stochastic process modeling with post-quantum quasiprobabilistic theories. Quantum Kelvin Onggadinata, Andrew Tanggara, Mile Gu, Dagomir Kaszlikowski
2026	J	`jnl`	Reinforcement learning for quantum processes with memory. CoRR Josep Lumbreras, Ruo Cheng Huang, Yanglin Hu, Marco Fanizza, Mile Gu
2025	J	`jnl`	Improving the balance of trade-offs in multi-objective optimization with quantum computing. Nat. Comput. Sci. Vishwanathan Akshay, Mile Gu
2025	J	`jnl`	Near-Term Pseudorandom and Pseudoresource Quantum States. CoRR Andrew Tanggara, Mile Gu, Kishor Bharti
2025	—	`conf`	QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning. ICAART (1) Hari Hara Suthan Chittoor, Paul Robert Griffin, Ariel Neufeld, Jayne Thompson, Mile Gu
2025	J	`jnl`	Quantum state-agnostic work extraction (almost) without dissipation. CoRR Josep Lumbreras, Ruo Cheng Huang, Yanglin Hu, Mile Gu, Marco Tomamichel
2024	J	`jnl`	Classically Spoofing System Linear Cross Entropy Score Benchmarking. CoRR Andrew Tanggara, Mile Gu, Kishor Bharti
2024	J	`jnl`	QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning. CoRR Hari Hara Suthan Chittoor, Paul Robert Griffin, Ariel Neufeld, Jayne Thompson, Mile Gu
2024	J	`jnl`	Quantum-optimal information encoding using noisy passive linear optics. Quantum Andrew Tanggara, Ranjith Nair, Syed Muhamad Assad, Varun Narasimhachar, Spyros Tserkis, Jayne Thompson, Ping Koy Lam, Mile Gu
2023	J	`jnl`	Engines for predictive work extraction from memoryful quantum stochastic processes. Quantum Ruo Cheng Huang, Paul M. Riechers, Mile Gu, Varun Narasimhachar
2022	J	`jnl`	Implementing quantum dimensionality reduction for non-Markovian stochastic simulation. CoRR Kang-Da Wu, Chengran Yang, Ren-Dong He, Mile Gu, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo, Thomas J. Elliott
2021	J	`jnl`	A new formulation of gradient boosting. Mach. Learn. Sci. Technol. Alex Wozniakowski, Jayne Thompson, Mile Gu, Felix C. Binder
2021	J	`jnl`	Operational applications of the diamond norm and related measures in quantifying the non-physicality of quantum maps. Quantum Bartosz Regula, Ryuji Takagi, Mile Gu
2021	J	`jnl`	Quantum adaptive agents with efficient long-term memories. CoRR Thomas J. Elliott, Mile Gu, Andrew J. P. Garner, Jayne Thompson
2021	J	`jnl`	Quantum-inspired identification of complex cellular automata. CoRR Matthew Ho, Andri Pradana, Thomas J. Elliott, Lock Yue Chew, Mile Gu
2020	J	`jnl`	Boosting on the shoulders of giants in quantum device calibration. CoRR Alex Wozniakowski, Jayne Thompson, Mile Gu, Felix C. Binder
2020	J	`jnl`	Thermodynamic Machine Learning through Maximum Work Production. CoRR Alexander B. Boyd, James P. Crutchfield, Mile Gu
2019	J	`jnl`	Extreme dimensional compression with quantum modelling. CoRR Thomas J. Elliott, Chengran Yang, Felix C. Binder, Andrew J. P. Garner, Jayne Thompson, Mile Gu
2019	J	`jnl`	Robust inference of memory structure for efficient quantum modelling of stochastic processes. CoRR Matthew Ho, Mile Gu, Thomas J. Elliott
2017	J	`jnl`	The classical-quantum divergence of complexity in modelling spin chains. Quantum Whei Yeap Suen, Jayne Thompson, Andrew J. P. Garner, Vlatko Vedral, Mile Gu
2010	—	`conf`	An efficient computational method for the optimal control of higher dimensional quantum systems. CDC Srinivas Sridharan, Mile Gu, Matthew R. James, William M. McEneaney