TL;DR
This paper introduces sl2cfoam-next, a highly optimized software library for calculating Lorentzian EPRL spin foam amplitudes, significantly advancing computational capabilities in quantum gravity research.
Contribution
The paper presents a new high-performance, parallelizable software library for EPRL spin foam amplitudes, enabling more efficient and interactive computations compared to previous codes.
Findings
Confirmed the Lorentzian single-vertex asymptotics.
Validated the presence of the 'flatness problem' in spin foam models.
Demonstrated the software's high performance and parallelization capabilities.
Abstract
We present , a high-performance software library for computing Lorentzian EPRL spin foam amplitudes. The library improves on previous codes by many orders of magnitude in single-core performance, can be parallelized on a large number of CPUs and on the GPU, and can be used interactively. We describe the techniques used in the code and provide many usage examples. As first applications, we use to complete the numerical test of the Lorentzian single-vertex asymptotics and to confirm the presence of the "flatness problem" of spin foam models in the BF and EPRL cases.
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