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09/19/2023
Information geometric bound on general chemical reaction networks
We investigate the dynamics of chemical reaction networks (CRNs) with th...
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12/24/2022
Novel scaling law governing stock price dynamics
A stock market is typically modeled as a complex system where the purcha...
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07/07/2022
Quantum Advantage in Variational Bayes Inference
Variational Bayes (VB) inference algorithm is used widely to estimate bo...
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06/23/2022
Quantum Approximation of Normalized Schatten Norms and Applications to Learning
Efficient measures to determine similarity of quantum states, such as th...
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02/02/2021
Ansatz-Independent Variational Quantum Classifier
The paradigm of variational quantum classifiers (VQCs) encodes classical...
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08/19/2019
Quantum Expectation-Maximization Algorithm
Clustering algorithms are a cornerstone of machine learning applications...
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12/13/2017
A Quantum Extension of Variational Bayes Inference
Variational Bayes (VB) inference is one of the most important algorithms...
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04/19/2017
Deterministic Quantum Annealing Expectation-Maximization Algorithm
Maximum likelihood estimation (MLE) is one of the most important methods...
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01/12/2017
Relaxation of the EM Algorithm via Quantum Annealing for Gaussian Mixture Models
We propose a modified expectation-maximization algorithm by introducing ...
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06/05/2016