3 papers
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…
cs.AI2024
Predicting Heart Failure with Attention Learning Techniques Utilizing Cardiovascular Data
Ershadul Haque, Manoranjan Paul, Faranak Tohidi
Cardiovascular diseases (CVDs) encompass a group of disorders affecting the heart and blood vessels, including conditions such as coronary artery disease, heart failure, stroke, an…