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- W4385968166 abstract "High-energy physics is facing increasingly computational challenges in real-time event reconstruction for the near-future high-luminosity era. Using the LHCb vertex detector as a use-case, we explore a new algorithm for particle track reconstruction based on the minimisation of an Ising-like Hamiltonian with a linear algebra approach. The use of a classical matrix inversion technique results in tracking performance similar to the current state-of-the-art but with worse scaling complexity in time. To solve this problem, we also present an implementation as quantum algorithm, using the Harrow-Hassadim-Lloyd (HHL) algorithm: this approach can potentially provide an exponential speedup as a function of the number of input hits over its classical counterpart, in spite of limitations due to the well-known HHL Hamiltonian simulation and readout problems. The findings presented in this paper shed light on the potential of leveraging quantum computing for real-time particle track reconstruction in high-energy physics." @default.
- W4385968166 created "2023-08-19" @default.
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- W4385968166 date "2023-08-01" @default.
- W4385968166 modified "2023-09-23" @default.
- W4385968166 title "A quantum algorithm for track reconstruction in the LHCb vertex detector" @default.
- W4385968166 doi "https://doi.org/10.48550/arxiv.2308.00619" @default.
- W4385968166 hasPublicationYear "2023" @default.
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