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20242026
most citedQuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning

8 citations · 8 across the 4 of their papers we have counts for

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quant-ph2026

Quantum-Enhanced Inference of Conditional Future Probabilities with Reduced Memory Cost

Jianjun Chen, Akshat Gupta, Chengran Yang +4

Many potential future events have devastating consequences, from the onset of earthquakes to financial black swan events. Accurate predictions of their probability of occurrence ar…

quant-ph2025

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…

quant-ph2024★ 8 cited

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…

quant-ph2024

Variational Quantum Circuit Decoupling

Ximing Wang, Chengran Yang, Mile Gu

Decoupling systems into independently evolving components has a long history of simplifying seemingly complex systems. They enable a better understanding of the underlying dynamics…

quant-ph2024

The relative entropy of coherence quantifies performance in Bayesian metrology

Ruvi Lecamwasam, Syed M Assad, Joseph J Hope +3

The ability of quantum states to be in superposition is one of the key features that sets them apart from the classical world. This `coherence' is rigorously quantified by resource…