Mile Gu

According to our database, Mile Gu authored at least 17 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Quantum state-agnostic work extraction (almost) without dissipation.

Josep Lumbreras, Ruo Cheng Huang, Yanglin Hu, Mile Gu, Marco Tomamichel

CoRR, May, 2025

Near-Term Pseudorandom and Pseudoresource Quantum States.

Andrew Tanggara, Mile Gu, Kishor Bharti

CoRR, April, 2025

QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning.

Hari Hara Suthan Chittoor, Paul Robert Griffin, Ariel Neufeld, Jayne Thompson, Mile Gu

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

2024

Quantum-optimal information encoding using noisy passive linear optics.

Andrew Tanggara, Ranjith Nair, Syed Muhamad Assad, Varun Narasimhachar, Spyros Tserkis, Jayne Thompson, Ping Koy Lam, Mile Gu

Quantum, January, 2024

Classically Spoofing System Linear Cross Entropy Score Benchmarking.

Andrew Tanggara, Mile Gu, Kishor Bharti

CoRR, 2024

2023

Engines for predictive work extraction from memoryful quantum stochastic processes.

Ruo Cheng Huang, Paul M. Riechers, Mile Gu, Varun Narasimhachar

Quantum, December, 2023

2022

Implementing quantum dimensionality reduction for non-Markovian stochastic simulation.

Kang-Da Wu, Chengran Yang, Ren-Dong He, Mile Gu, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo, Thomas J. Elliott

CoRR, 2022

2021

Operational applications of the diamond norm and related measures in quantifying the non-physicality of quantum maps.

Bartosz Regula, Ryuji Takagi, Mile Gu

Quantum, 2021

A new formulation of gradient boosting.

Alex Wozniakowski, Jayne Thompson, Mile Gu, Felix C. Binder

Mach. Learn. Sci. Technol., 2021

Quantum adaptive agents with efficient long-term memories.

Thomas J. Elliott, Mile Gu, Andrew J. P. Garner, Jayne Thompson

CoRR, 2021

Quantum-inspired identification of complex cellular automata.

Matthew Ho, Andri Pradana, Thomas J. Elliott, Lock Yue Chew, Mile Gu

CoRR, 2021

2020

Thermodynamic Machine Learning through Maximum Work Production.

Alexander B. Boyd, James P. Crutchfield, Mile Gu

CoRR, 2020

Boosting on the shoulders of giants in quantum device calibration.

Alex Wozniakowski, Jayne Thompson, Mile Gu, Felix C. Binder

CoRR, 2020

2019

Robust inference of memory structure for efficient quantum modelling of stochastic processes.

Matthew Ho, Mile Gu, Thomas J. Elliott

CoRR, 2019

Extreme dimensional compression with quantum modelling.

Thomas J. Elliott, Chengran Yang, Felix C. Binder, Andrew J. P. Garner, Jayne Thompson, Mile Gu

CoRR, 2019

2017

The classical-quantum divergence of complexity in modelling spin chains.

Whei Yeap Suen, Jayne Thompson, Andrew J. P. Garner, Vlatko Vedral, Mile Gu

Quantum, 2017

2010

An efficient computational method for the optimal control of higher dimensional quantum systems.

Srinivas Sridharan, Mile Gu, Matthew R. James, William M. McEneaney

Proceedings of the 49th IEEE Conference on Decision and Control, 2010