60 citations · 85 across the 5 of their papers we have counts for
5 papers
A Coherent Memory Register for Sequential Quantum Generative Modeling, with Application to Calorimeter Showers
Jamal Slim. Saverio Monaco, Ran Xue, Dirk Kruecker +1
Simulating the showers that particles deposit in a calorimeter, the detector that records their energy across many cells, is one of the largest computing costs in high-energy physi…
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…
Impact of quantum noise on the training of quantum Generative Adversarial Networks
Kerstin Borras, Su Yeon Chang, Lena Funcke +8
Current noisy intermediate-scale quantum devices suffer from various sources of intrinsic quantum noise. Overcoming the effects of noise is a major challenge, for which different e…
Search for physics beyond the standard model in high-mass diphoton events from proton-proton collisions at 13 TeV
CMS Collaboration
A search for physics beyond the standard model is performed using a sample of high-mass diphoton events produced in proton-proton collisions at 13 TeV. The data sampl…