Data models Archives - IEEE Transactions on Quantum Engineering

Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning

November 17, 2023Sangwoo Park, Osvaldo SimeoneQuantum InformationCalibration, Data models, Machine learning, Predictive models, Training, Training data, Uncertainty

Quantum machine learning is a promising programming paradigm for the optimization of quantum algorithms in the current era of noisy intermediate-scale quantum computers. A fundamental challenge in quantum machine learning is generalization, as the designer targets performance under testing conditions while having access only to limited training data. Existing generalization analyses, while identifying important general […]

Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach

October 2, 2023Mohammad Ali JavidianQuantum ComputingData models, Hidden Markov models, Markov processes, Quantum system, Speech recognition, Symbols, Tensors

This article proposes circular hidden quantum Markov models (c-HQMMs), which can be applied for modeling temporal data. We show that c-HQMMs are equivalent to a tensor network (more precisely, circular local purified state) model. This equivalence enables us to provide an efficient learning model for c-HQMMs. The proposed learning approach is evaluated on six real […]

Prediction of Solar Irradiance One Hour Ahead Based on Quantum Long Short-Term Memory Network

June 14, 2023Yunjun YuQuantum ComputingAtmospheric modeling, Computational modeling, Data models, Feature extraction, Forecasting, Mathematical models, Predictive models

The short-term forecasting of photovoltaic (PV) power generation ensures the scheduling and dispatching of electrical power, helps design a PV-integrated energy management system, and enhances the security of grid operation. However, due to the randomness of solar energy, the output of the PV system will fluctuate, which will affect the safe operation of the grid. […]