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A quantum algorithm for high energy physics simulations
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A quantum algorithm for high energy physics simulations
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Particles produced in high energy collisions that are charged under one of the fundamental forces will radiate proportionally to their charge, such as photon radiation from electrons in quantum electrodynamics. At sufficiently high energies, this radiation pattern is enhanced collinear to the initiating particle, resulting in a complex, many-body quantum system. Classical Markov Chain Monte Carlo simulation approaches work well to capture many of the salient features of the shower of radiation, but cannot capture all quantum effects. We show how quantum algorithms are well-suited for describing the quantum properties of final state radiation. In particular, we develop a polynomial time quantum final state shower that accurately models the effects of intermediate spin states similar to those present in high energy electroweak showers. The algorithm is explicitly demonstrated for a simplified quantum field theory on a quantum computer.
Forward citations
Cited by 3 Pith papers
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Disentangling Dark Gauge Symmetries with Deep Learning on the Lund Jet Plane
A generalized parton shower for arbitrary gauge groups plus a Mamba network on Lund jet planes can distinguish dark gauge symmetries even when non-perturbative hadronization details are unknown.
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A Framework for Quantum Simulations of Energy-Loss and Hadronization in Non-Abelian Gauge Theories: SU(2) Lattice Gauge Theory in 1+1D
A quantum simulation framework is developed and demonstrated for energy loss and hadronization of a heavy quark in 1+1D SU(2) lattice gauge theory on 18 qubits of IBM hardware, with results matching classical simulations.
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Overview of Applications of Quantum Computing in QCD
A concise literature overview of quantum algorithms for QCD and collider tasks, stressing possible advantages over classical methods and NISQ hardware limits.
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