4 papers · 1 filter
Optimizing Quantum Embedding using Genetic Algorithm for QML Applications
Koustubh Phalak, Archisman Ghosh, Swaroop Ghosh
Quantum Embeddings (QE) are essential for loading classical data into quantum systems for Quantum Machine Learning (QML). The performance of QML algorithms depends on the type of Q…
QuaLITi: Quantum Machine Learning Hardware Selection for Inferencing with Top-Tier Performance
Koustubh Phalak, Swaroop Ghosh
Quantum Machine Learning (QML) is an accelerating field of study that leverages the principles of quantum computing to enhance and innovate within machine learning methodologies. H…
AltGraph: Redesigning Quantum Circuits Using Generative Graph Models for Efficient Optimization
Collin Beaudoin, Koustubh Phalak, Swaroop Ghosh
Quantum circuit transformation aims to produce equivalent circuits while optimizing for various aspects such as circuit depth, gate count, and compatibility with modern Noisy Inter…
Non-parametric Greedy Optimization of Parametric Quantum Circuits
Koustubh Phalak, Swaroop Ghosh
The use of Quantum Neural Networks (QNN) that are analogous to classical neural networks, has greatly increased in the past decade owing to the growing interest in the field of Qua…