activity
20062023
most citedQuantum Variational Autoencoder

166 citations · 1.6k across the 42 of their papers we have counts for

collaborators

42 papers

cs.LG2023

Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model

Thomas Templin, Milad Memarzadeh, Walter Vinci +4

Deep generative learning cannot only be used for generating new data with statistical characteristics derived from input data but also for anomaly detection, by separating nominal…

cs.LG2020

RBM-Flow and D-Flow: Invertible Flows with Discrete Energy Base Spaces

Daniel O'Connor, Walter Vinci

Efficient sampling of complex data distributions can be achieved using trained invertible flows (IF), where the model distribution is generated by pushing a simple base distributio…

cs.LG2020★ 16 cited

High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder

Nicholas Gao, Max Wilson, Thomas Vandal +3

Recent progress in quantum algorithms and hardware indicates the potential importance of quantum computing in the near future. However, finding suitable application areas remains a…

quant-ph2020★ 10 cited

Error measurements for a quantum annealer using the one-dimensional Ising model with twisted boundaries

Nicholas Chancellor, Philip J. D. Crowley, Tanja Đurić +5

A finite length ferromagnetic chain with opposite spin polarisation imposed at its two ends is one of the simplest frustrated spin models. In the clean classical limit the domain w…

cs.CV2019★ 14 cited

PixelVAE++: Improved PixelVAE with Discrete Prior

Hossein Sadeghi, Evgeny Andriyash, Walter Vinci +2

Constructing powerful generative models for natural images is a challenging task. PixelCNN models capture details and local information in images very well but have limited recepti…

quant-ph2019★ 11 cited

From Ansätze to Z-gates: a NASA View of Quantum Computing

Eleanor G. Rieffel, Stuart Hadfield, Tad Hogg +12

For the last few years, the NASA Quantum Artificial Intelligence Laboratory (QuAIL) has been performing research to assess the potential impact of quantum computers on challenging…