activity
20222026
most citedT4PdM: a Deep Neural Network based on the Transformer Architecture for Fault Diagnosis of Rotating Machinery

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Experimental Benchmarking of a 256-Qubit Room-Temperature NV-Diamond Quantum Processor with an Optically Programmable Biomolecular Quantum Bus

Adams Ivanov, Daniela Herrmann, Erick Giovani Sperandio Nascimento

We report Zeus-256, a room-temperature nitrogen-vacancy (NV) diamond processor with 256 simultaneously active processor-level logical qubits arranged in a 16 x 16 array. Each logic…

quant-ph2026

Quantum-Driven Neuromorphic Computing for Million-Qubit-Scale Workloads

Adams Ivanov, Samer Rahmeh, Erick Giovani Sperandio Nascimento +1

We introduce Apollo, a 10000 node p-qubit neuromorphic processor fabricated in 16 nm mixed signal CMOS and operating fully at room temperature with a typical analog core power enve…

cs.LG2026

MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules

Idelfonso B. R. Nogueira, Carine M. Rebello, Mumin Enis Leblebici +1

MultiPUFFIN is a domain-informed multimodal foundation model for predicting thermophysical properties of small molecules, addressing a critical gap in chemical engineering, drug di…

quant-ph2023

Evolutionary-enhanced quantum supervised learning model

Anton Simen Albino, Rodrigo Bloot, Otto M. Pires +1

Quantum supervised learning, utilizing variational circuits, stands out as a promising technology for NISQ devices due to its efficiency in hardware resource utilization during the…

cs.AI2022★ 1 cited

T4PdM: a Deep Neural Network based on the Transformer Architecture for Fault Diagnosis of Rotating Machinery

Erick Giovani Sperandio Nascimento, Julian Santana Liang, Ilan Sousa Figueiredo +1

Deep learning and big data algorithms have become widely used in industrial applications to optimize several tasks in many complex systems. Particularly, deep learning model for di…