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quant-ph2025★ 2 cited
Quantum generative modeling for financial time series with temporal correlations
David Dechant, Eliot Schwander, Lucas van Drooge +4
Quantum generative adversarial networks (QGANs) have been investigated as a method for generating synthetic data with the goal of augmenting training data sets for neural networks.…
quant-ph2025
Mitigating shot noise in local overlapping quantum tomography with semidefinite programming
Zherui Jerry Wang, David Dechant, Yash J. Patel +1
Reduced density matrices (RDMs) are fundamental in quantum information processing, allowing the computation of local observables, such as energy and correlation functions, without…