REVIEW 3 cited by
Exploring Light-Cone Distribution Amplitudes from Quantum Computing
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
Light-cone distribution amplitudes (LCDAs) are essential nonperturbative quantities for theoretical predictions of exclusive high-energy processes in quantum chromodynamics (QCD). We demonstrate the prospect of calculating LCDAs on a quantum computer by applying a recently proposed quantum algorithm, with staggered fermions, to the simulation of the LCDA in the (1+1)-dimensional Nambu-Jona-Lasinio (NJL) model on classical hardware. The agreement between the result from the classical simulation of the quantum algorithm and that from exact diagonalization justifies the proposed quantum algorithm. We find that the resulting LCDA in the NJL model exhibits features shared with the LCDAs obtained from QCD.
Forward citations
Cited by 3 Pith papers
-
Quantum simulating multi-particle processes in high energy nuclear physics: dijet production and color (de)coherence
A quantum-circuit framework maps partonic cross-sections for multi-particle QCD processes in media, benchmarked on dipole formation and antenna radiation at leading order.
-
Quantum thermalization of Quark-Gluon Plasma
In a 1+1D Schwinger model, strong-coupling quark Wigner functions thermalize to quantum statistical averages, while weak-coupling scalar and axial components do not because of many-body scars, and the θ-vacuum angle c...
-
Quantum computing of chirality imbalance in SU(2) gauge theory
A variational quantum algorithm with Monte Carlo sampling reproduces the exact thermal chiral condensate in 1+1D SU(2) gauge theory on 8 to 12 qubits and on IBM hardware.
Discussion (0). Continue with ORCID to comment.