Importance truncation in non-perturbative many-body techniques
Andrea Porro, Vittorio Som\`a, Alexander Tichai, Thomas Duguet

TL;DR
This paper introduces importance truncation techniques within Gorkov Self-Consistent Green's Function theory to significantly reduce computational costs while maintaining accuracy, enabling more feasible calculations for larger and more complex nuclei.
Contribution
It demonstrates the formal and numerical implementation of importance truncation in non-perturbative many-body methods, reducing storage costs drastically without sacrificing accuracy.
Findings
Storage reduced to less than 1% of original cost
Maintains 1% accuracy on correlation energy
Applicable at ADC(2) level in realistic calculations
Abstract
Expansion many-body methods correspond to solving complex tensor networks. The (iterative) solving of the network and the (repeated) storage of the unknown tensors requires a computing power growing polynomially with the size of basis of the one-body Hilbert space one is working with. Thanks to current computer capabilities, ab initio calculations of nuclei up to mass delivering a few percent accuracy are routinely feasible today. However, the runtime and memory costs become quickly prohibitive as one attempts (possibly at the same time) (i) to reach out to heavier nuclei, (ii) to employ symmetry-breaking reference states to access open-shell nuclei and (iii) to aim for yet a greater accuracy. The challenge is particularly exacerbated for non-perturbative methods involving the repeated storage of (high-rank) tensors obtained via iterative solutions of non-linear equations.…
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