From the 1 of 15 linked papers with an AI index.
2 citations · 3 across the 4 of their papers we have counts for
20 papers · 1 filter
Entanglement, loss, and quantumness: When balanced beam splitters are best
Noah Lupu-Gladstein, Anaelle Hertz, Khabat Heshami +1
The paper proves that beam splitters with equal transmission and reflection (balanced) generate the maximum entanglement for states interfered with vacuum under common entanglement…
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…
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…
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…
Adaptive Non-Gaussian Quantum State Engineering
Valerio Crescimanna, Shang Yu, Khabat Heshami +1
Non-Gaussian quantum states of bosons are a key resource in quantum information science with applications ranging from quantum metrology to fault-tolerant quantum computation. Gene…
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…