4 papers
Medical Imaging Classification with Cold-Atom Reservoir Computing using Auto-Encoders and Surrogate-Driven Training
Nuno Batista, Ana Morgado, Oscar Ferraz +3
We introduce a hybrid quantum-classical pipeline, based on neutral-atom reservoir computing, for medical image classification, focusing on the binary classification task of polyp d…
GPU-Accelerated Syndrome Decoding for Quantum LDPC Codes below the 63 s Latency Threshold
Oscar Ferraz, Bruno Coutinho, Gabriel Falcao +3
This paper presents a GPU-accelerated decoder for quantum low-density parity-check (QLDPC) codes that achieves sub- s latency, below the surface code decoder's real-time th…
An Experimental Exploration of In-Memory Computing for Multi-Layer Perceptrons
Pedro Carrinho, Hamid Moghadaspour, Oscar Ferraz +4
In modern computer architectures, the performance of many memory-bound workloads (e.g., machine learning, graph processing, databases) is limited by the data movement bottleneck th…
In-Memory Non-Binary LDPC Decoding
Oscar Ferraz, Vitor Silva, Gabriel Falcao
Low-density parity-check (LDPC) codes are an important feature of several communication and storage applications, offering a flexible and effective method for error correction. The…