Details

Autor(en) / Beteiligte

• Nicotra, D.
• Lucio Martinez, M.
• de Vries, J.A.
• Merk, M.
• Driessens, K.
• Westra, R.L.
• Dibenedetto, D.
• Cámpora Pérez, D.H.

Titel

A quantum algorithm for track reconstruction in the LHCb vertex detector

Ist Teil von

• Journal of instrumentation, 2023-11, Vol.18 (11), p.P11028

Ort / Verlag

Bristol: IOP Publishing

Erscheinungsjahr

2023

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Abstract High-energy physics is facing increasingly demanding 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 a 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.