5 papers · 1 filter
Gaussian Atemporality: When Gaussian Quantum Correlations Imply Common Cause
Minjeong Song, Jayne Thompson, Matthew S. Winnel +4
Conventionally, covariances do not distinguish between spatial and temporal correlations. The same covariance matrix could equally describe temporal correlations between observatio…
Quantum Policy Gradient in Reproducing Kernel Hilbert Space
David M. Bossens, Kishor Bharti, Jayne Thompson
Parametrised quantum circuits offer expressive and data-efficient representations for machine learning. Due to quantum states residing in a high-dimensional Hilbert space, parametr…
Energetic advantages for quantum agents in online execution of complex strategies
Jayne Thompson, Paul M. Riechers, Andrew J. P. Garner +2
Agents often execute complex strategies -- adapting their response to each input stimulus depending on past observations and actions. Here, we derive the minimal energetic cost for…
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning
Hari Hara Suthan Chittoor, Paul Robert Griffin, Ariel Neufeld +2
Long-term time series forecasting (LTSF) involves predicting a large number of future values of a time series based on the past values. This is an essential task in a wide range of…
Variational learning of integrated quantum photonic circuits
Hui Zhang, Chengran Yang, Wai-Keong Mok +11
Integrated photonic circuits play a crucial role in implementing quantum information processing in the noisy intermediate-scale quantum (NISQ) era. Variational learning is a promis…