Category: Accordion Theory And Simulation
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Interactions between Theory and Sensing
Interactions between Theory and Sensing Many developments stemming from advances in quantum technologies have opened up new parameter spaces for the search for BSM physics, with particular implications in searches for symmetry violations, searches for unknown interactions, searches for ultralight dark matter particles or fields, and precision determinations of masses or binding energies. In many
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Applications of Quantum Machine Learning
Applications of Quantum Machine Learning Quantum machine learning (QML) algorithms are a promising approach to certain classes of applications in HEP phenomenology and theory, for example using variational quantum circuits and novel model architectures, which could benefit from the quantum hardware representation. The main motivation behind this planned activity is to identify the potential benefits
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Physics Theories Simulation
Physics Theories Simulation Quantum field theories, by their nature, are rife with infinities. To connect theoretical predictions from QFT calculations to experimental results, these infinities must be dealt with via a process called regularization and renormalization. The only known generic method for doing so non-perturbatively is by implementing the field theory on a lattice, i.e.