536 citations · 2k across the 65 of their papers we have counts for
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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…
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…
High-Dimensional Quantum Key Distribution with Qubit-like States
Lukas Scarfe, Rojan Abolhassani, Frédéric Bouchard +4
Quantum key distribution (QKD) protocols most often use two conjugate bases in order to verify the security of the quantum channel. In the majority of protocols, these bases are mu…
Exact simulation of realistic Gottesman-Kitaev-Preskill cluster states
Milica Banic, Valerio Crescimanna, J. Eli Bourassa +3
We describe a method for simulating and characterizing realistic Gottesman-Kitaev-Preskill (GKP) cluster states, rooted in the representation of resource states in terms of sums of…