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07/05/2023
Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging
Entanglement forging based variational algorithms leverage the bi-partit...
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05/16/2023
Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors
The physics potential of massive liquid argon TPCs in the low-energy reg...
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05/04/2023
Trainability barriers and opportunities in quantum generative modeling
Quantum generative models, in providing inherently efficient sampling st...
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01/25/2023
Unravelling physics beyond the standard model with classical and quantum anomaly detection
Much hope for finding new physics phenomena at microscopic scale relies ...
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01/25/2023
Quantum anomaly detection in the latent space of proton collision events at the LHC
We propose a new strategy for anomaly detection at the LHC based on unsu...
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12/22/2022
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
Building a quantum analog of classical deep neural networks represents a...
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11/28/2022
Conditional Progressive Generative Adversarial Network for satellite image generation
Image generation and image completion are rapidly evolving fields, thank...
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05/30/2022
Running the Dual-PQC GAN on noisy simulators and real quantum hardware
In an earlier work, we introduced dual-Parameterized Quantum Circuit (PQ...
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05/16/2022
Conditional Born machine for Monte Carlo events generation
Generative modeling is a promising task for near-term quantum devices, w...
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03/09/2022
Quantum neural networks force fields generation
Accurate molecular force fields are of paramount importance for the effi...
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11/08/2021
Accelerating GAN training using highly parallel hardware on public cloud
With the increasing number of Machine and Deep Learning applications in ...
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09/26/2021
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
The Large Hadron Collider (LHC) at the European Organisation for Nuclear...
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07/06/2021
Convolutional LSTM models to estimate network traffic
Network utilisation efficiency can, at least in principle, often be impr...
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05/19/2021
Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations
The precise simulation of particle transport through detectors remains a...
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04/15/2021
Higgs analysis with quantum classifiers
We have developed two quantum classifier models for the tt̅H(bb̅) classi...
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03/29/2021
Dual-Parameterized Quantum Circuit GAN Model in High Energy Physics
Generative models, and Generative Adversarial Networks (GAN) in particul...
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03/18/2021
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
Deep learning is finding its way into high energy physics by replacing t...
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03/04/2021
Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers
The race to meet the challenges of the global pandemic has served as a r...
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03/02/2021
Deep Learning strategies for ProtoDUNE raw data denoising
In this work we investigate different machine learning based strategies ...
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01/26/2021
Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors
Deep Neural Networks (DNNs) come into the limelight in High Energy Physi...
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12/14/2019
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics
Using detailed simulations of calorimeter showers as training data, we i...
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05/24/2019
Deploying AI Frameworks on Secure HPC Systems with Containers
The increasing interest in the usage of Artificial Intelligence techniqu...
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07/08/2018