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20232026
most citedA Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks

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

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quant-ph2025

Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models

Aakash Ravindra Shinde, Jukka K. Nurminen

Data dimensionality reduction techniques are often utilized in the implementation of Quantum Machine Learning models to address two significant issues: the constraints of NISQ quan…

quant-ph2025★ 2 cited

Perspectives on Utilization of Measurements in Quantum Algorithms

Valter Uotila, Ilmo Salmenperä, Leo Becker +3

Measurement is a fundamental operation in quantum computing and has many important use cases in quantum algorithms. This article provides a comprehensive overview of the basic meas…