A Coherent Memory Register for Sequential Quantum Generative Modeling, with Application to Calorimeter Showers
quant-ph
Submitted: 2026-09-19
Updated: 2026-09-19
Code: https://github.com/jamalslim/comb
Terminology
Sources
- CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks
- CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows
- Score-based Generative Models for Calorimeter Shower Simulation
- AtlFast3: the next generation of fast simulation in ATLAS
- Dual-Parameterized Quantum Circuit GAN Model in High Energy Physics
- A Full Quantum Generative Adversarial Network Model for High Energy Physics Simulations
- CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models
- Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions
- Data re-uploading for a universal quantum classifier
- Pixel Recurrent Neural Networks
- Differentiable Learning of Quantum Circuit Born Machine
- Unsupervised Generative Modeling Using Matrix Product States
- Lie-algebraic classical simulations for quantum computing
- Classification of dynamical Lie algebras for translation-invariant 2-local spin systems in one dimension
- Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning
- Quantum generation of stochastic processes: spectral invariants and memory bounds
- Recurrent Quantum Neural Networks
- Learning Hidden Quantum Markov Models
- Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model
- Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics
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