About track
Although there are many stages to High-Energy Physics (HEP) predictions, the fundamental physics are described in terms of probabilities (cross sections) calculated from perturbative Quantum Field Theories (QFTs). However, since HEP processes are stochastic, it is insufficient to evaluate the total cross section --- rather, to compare statistically compare experiment with theory we need to sample the underlying distribution, known as the differential cross section (also known as the scattering amplitude or matrix element of the process).
In this challenge, your goal is to build a quantum (or hybrid classical-quantum) algorithm to evaluate this differential cross section at a given phase space point. For the implementation, you are given as input:
- (Parametrised) phase space points containing the kinematic information of the particles in a given event.
Your task is to match this to the output:
- Leading Order (LO) differential cross section at this phase space point.
Timeline
No timeline yet.
Why this track exists?
Participants are tasked with building a quantum (or hybrid classical-quantum) algorithm for differential cross section regression, mapping a (parametrised) phase space point to the scalar value of at that point.
Who is this track for?
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Prizes & Outcomes
No prizes yet.
How to get started
We look forward to seeing innovative quantum solutions to this complex and exciting problem!