  High-quality simulated data is crucial for particle physics discoveries.
Therefore, parton shower algorithms are a major building block of the data
synthesis in event generator programs. However, the core algorithms used to
generate parton showers have barely changed since the 1980s. With quantum
computers' rapid and continuous development, dedicated algorithms are required
to exploit the potential that quantum computers provide to address problems in
high-energy physics. This paper presents a novel approach to synthesising
parton showers using the Discrete QCD method. The algorithm benefits from an
elegant quantum walk implementation which can be embedded into the classical
toolchain. We use the ibm_algiers device to sample parton shower configurations
and generate data that we compare against measurements taken at the ALEPH,
DELPHI and OPAL experiments. This is the first time a Noisy Intermediate-Scale
Quantum (NISQ) device has been used to simulate realistic high-energy particle
collision events.
