A quantum strategy to compute the jet quenching parameter $\hat{q}$

Abstract

Jet quenching, the modification of the properties of a QCD jet when the parton cascade takes place inside a medium, is an intrinsically quantum process, where color coherence effects play an essential role. Despite a very significant progress in the last years, the simulation of a full quantum medium induced cascade remains inaccessible to classical Monte Carlo parton showers. In this situation, alternative formulations are worth being tried and the fast developments in quantum computing provide a very promising direction. The goal of this paper is to introduce a strategy to quantum simulate single particle momentum broadening, the simplest building block of jet quenching. Momentum broadening is the modification of the quark or gluon transverse momentum due interactions with the underlying medium, modeled as a QCD background field. At the lowest order in α s that we consider here, momentum broadening does not involve parton splittings and particle number is conserved, greatly simplifying the quantum algorithmic implementation. This quantity is, however, very relevant for the phenomenology of RHIC, LHC or the future EIC.

Partonic Structure by Quantum Computing

“…Last, we point out that the proposed quantum computing framework for preparing the hadronic states and measuring the dynamical correlation function is generally applicable. Its extension to many applications in high energy particle and nuclear physics is expected, such as the calculation of a scattering process and parton shower [51][52][53], the proton spin configurations, the 3D structure of a nucleon, as well as the fundamental jet transport property [54] and the associated dynamics [55,56] of Quark Gluon Plasma.…”

Quantum algorithm for Feynman loop integrals

“…Quantum algorithms have recently started to come under the spotlight in high-energy physics given the stringent demands that the field [8] will meet in the coming Run 3 of the CERN's Large Hadron Collider (LHC), the posterior highluminosity phase [9], and the planned future colliders [10][11][12][13]. Recent applications include the speed up of jet clustering algorithms [14][15][16], jet quenching [17], determination of parton densities [18], simulation of parton showers [19][20][21], heavyion collisions [21], quantum machine learning [22][23][24] and lattice gauge theories [25][26][27][28].…”

Measurement of Bell-type inequalities and quantum entanglement from $Λ$-hyperon spin correlations at high energy colliders

“…First principles solutions to such open questions in QFT will likely only be obtained well past the noisy intermediate scale quantum (NISQ) era. Nevertheless, focused questions on specific problems universal to simpler systems will provide valuable answers already in the near future [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20].…”