9 citations · 19 across the 7 of their papers we have counts for
8 papers
Enhanced Squeezing and Faster Metrology from Layered Quantum Neural Networks
Nickholas Gutierrez, Rodrigo Araiza Bravo, Susanne Yelin
Spin squeezing is a powerful resource for quantum metrology, and recent hardware platforms based on interacting qubits provide multiple possible architectures to generate and rever…
Current and Future Directions for Responsible Quantum Technologies: A ResQT Community Perspective
Adrian Schmidt, Alexandre Artaud, Arsev Umur Aydinoglu +22
Quantum technologies (QT) are advancing rapidly, promising advancements across a wide spectrum of applications but also raising significant ethical, societal, and geopolitical impa…
Extending Quantum Perceptrons: Rydberg Devices, Multi-Class Classification, and Error Tolerance
Ishita Agarwal, Taylor L. Patti, Rodrigo Araiza Bravo +2
Quantum Neuromorphic Computing (QNC) merges quantum computation with neural computation to create scalable, noise-resilient algorithms for quantum machine learning (QML). At the co…
Circumventing Traps in Analog Quantum Machine Learning Algorithms Through Co-Design
Rodrigo Araiza Bravo, Jorge Garcia Ponce, Hong-ye Hu +1
Quantum machine learning QML algorithms promise to deliver near-term, applicable quantum computation on noisy, intermediate-scale systems. While most of these algorithms leverage q…
Large-scale quantum reservoir learning with an analog quantum computer
Milan Kornjača, Hong-Ye Hu, Chen Zhao +50
Quantum machine learning has gained considerable attention as quantum technology advances, presenting a promising approach for efficiently learning complex data patterns. Despite t…
Expressive Quantum Perceptrons for Quantum Neuromorphic Computing
Rodrigo Araiza Bravo, Khadijeh Najafi, Taylor L. Patti +2
Quantum neuromorphic computing (QNC) is a sub-field of quantum machine learning (QML) that capitalizes on inherent system dynamics. As a result, QNC can run on contemporary, noisy…
Quantum reservoir computing using arrays of Rydberg atoms
Rodrigo Araiza Bravo, Khadijeh Najafi, Xun Gao +1
Quantum computing promises to provide machine learning with computational advantages. However, noisy intermediate-scale quantum (NISQ) devices pose engineering challenges to realiz…
Channel Activation of CHSH Nonlocality
Yujie Zhang, Rodrigo Araiza Bravo, Virginia O. Lorenz +1
Quantum channels that break CHSH nonlocality on all input states are known as CHSH-breaking channels. In quantum networks, such channels are useless for distributing correlations t…