536 citations · 2k across the 65 of their papers we have counts for
67 papers
Recurrent Quantum Feature Maps for Reservoir Computing
Utkarsh Singh, Aaron Z. Goldberg, Christoph Simon +1
Reservoir computing promises a fast method for handling large amounts of temporal data. This hinges on constructing a good reservoir--a dynamical system capable of transforming inp…
Quantum Wasserstein distance for Gaussian states
Anaelle Hertz, Mohammad Ahmadpoor, Oleksandr Dzhenzherov +2
Optimal transport between classical probability distributions has been proven useful in areas such as machine learning and random combinatorial optimization. Quantum optimal transp…
Magnetometry with Broadband Microwave Fields in Nitrogen-Vacancy Centers in Diamond
Arezoo Afshar, Andrew Proppe, Noah Lupu-Gladstein +3
Nitrogen-vacancy (NV) centers in diamond are optically addressable and versatile light-matter interfaces with practical application in magnetic field sensing, offering the ability…
Investigating the Performance of Adaptive Optics on Different Bases of Spatial Modes in Turbulent Channels
Rojan Abolhassani, Lukas Scarfe, Francesco Di Colandrea +3
Quantum key distribution (QKD) allows secure key exchange based on the principles of quantum mechanics, with higher-dimensional photonic states offering enhanced channel capacity a…
A Resource Efficient Quantum Kernel
Utkarsh Singh, Jean-Frédéric Laprade, Aaron Z. Goldberg +1
Quantum processors may enhance machine learning by mapping high-dimensional data onto quantum systems for processing. Conventional feature maps, for encoding data onto a quantum ci…
Imaging at the quantum limit with convolutional neural networks
Andrew H. Proppe, Aaron Z. Goldberg, Guillaume Thekkadath +8
Deep neural networks have been shown to achieve exceptional performance for computer vision tasks like image recognition, segmentation, and reconstruction or denoising. Here, we ev…