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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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08/16/2022
Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection
This paper presents a first end-to-end application of a Quantum Support ...
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06/30/2022
QuASK – Quantum Advantage Seeker with Kernels
QuASK is a quantum machine learning software written in Python that supp...
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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
