most citedAnalysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach

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quant-ph2025

Novel quantum circuit for image compression utilizing modified Toffoli gate and quantized transformed coefficient alongside a novel reset gate

Ershadul Haque, Manoranjan Paul

Quantum image computing has emerged as a groundbreaking field, revolutionizing how we store and process data at speeds incomparable to classical methods. Nevertheless, as image siz…

quant-ph2025

PALQA: A Novel Parameterized Position-Aware Lossy Quantum Autoencoder using LSB Control Qubit for Efficient Image Compression

Ershadul Haque, Manoranjan Paul, Faranak Tohidi +2

With the growing interest in quantum computing, quantum image processing technology has become a vital research field due to its versatile applications and ability to outperform cl…