Conveners
Quantum computing and artificial intelligence: 01
- Yao Ji ()
Description
Conveners: Kai Zhou, Longgang Pang
In this presentation, I will discuss our exploratory work on simulating non-perturbative QCD quantities relevant to hadron scattering processes using quantum computing methods. This includes mapping lattice gauge field theories to qubits, simulating parton distribution functions (PDFs), Light-cone distribution amplitudes, and Fragmentation functions on a quantum computer.
We implement a variational quantum algorithm to investigate the chiral condensate in a 1+1 dimensional SU(2) non-Abelian gauge theory. The algorithm is evaluated using a proposed Monte Carlo sampling method, which allows the extension to large qubit systems. The obtained results through quantum simulations on classical and actual quantum hardware are in good agreement with exact...
The hadronic tensor encodes key information about the internal structure of hadrons, reflecting the non-perturbative features of quantum chromodynamics (QCD). We perform a direct computation of the hadronic tensor in (1+1)-dimensional $U(1)$ and $SU(2)$ gauge theories by evaluating the real-time current-current correlation function using proposed quantum algorithms implemented on classical...
