60 citations · 85 across the 5 of their papers we have counts for
3 papers · 1 filter
Quantum Generative Modeling with a Coherent Memory, Exact Training and a Memory-Dimension Advantage
Jamal Slim. Saverio Monaco, Ran Xue, Dirk Kruecker +1
We introduce the coherent memory Born machine (CoMB), an algorithm for quantum generative modeling on a register whose size does not depend on the dimension of the data. CoMB gener…
Interferometric Quantum Polynomial Chaos Expansion as a Generative Model for Calorimeter Shower Simulation
Jamal Slim, Saverio Monaco, Florian Rehm +3
We present the quantum polynomial chaos expansion, a generative algorithm in which a single circuit is the entire model, and we use it to learn calorimeter images. In a classical c…
Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model
Jamal Slim, Saverio Monaco, Florian Rehm +2
Gate-based quantum generative models have been limited to small images, because their quantum resources grow with the size of the data. The Quantum Feature Amplification Network (Q…