Matrix‐Product State Approach to the Generalized Nuclear Pairing Hamiltonian

Author:

Rausch Roman1ORCID,Plorin Cassian2,Peschke Matthias34ORCID,Karrasch Christoph1ORCID

Affiliation:

1. Technische Universität Braunschweig Institut für Mathematische Physik Mendelssohnstraße 3 38106 Braunschweig Germany

2. Department of Physics University of Hamburg and The Hamburg Centre of Ultrafast Imaging Notkestraße 9 22607 Hamburg Germany

3. Institute for Theoretical Physics Amsterdam and Delta Institute for Theoretical Physics University of Amsterdam Science Park 904 Amsterdam 1098 XH The Netherlands

4. Department of Physics University of Hamburg 20148 Hamburg Germany

Abstract

AbstractIt is shown that from the point of view of the generalized pairing Hamiltonian, the atomic nucleus is a system with small entanglement and can thus be described efficiently using a 1D tensor network (matrix‐product state) despite the presence of long‐range interactions. The ground state can be obtained using the density‐matrix renormalization group (DMRG) algorithm, which is accurate up to machine precision even for large nuclei, is numerically as cheap as the widely used Bardeen‐Cooper‐Schrieffer (BCS) approach, and does not suffer from any mean‐field artifacts. This framework is applied to compute the even‐odd mass differences of all known lead isotopes from to in a very large configuration space of 13 shells between the neutron magic numbers 82 and 184 (i.e., two major shells) and find good agreement with the experiment. Pairing with non‐zero angular momentum is also considered and the lowest excited states in the full configuration space of one major shell is determined, which is demonstrated for the , isotones. To demonstrate the capabilities of the method beyond low‐lying excitations, the first 100 excited states of with singlet pairing and the two‐neutron removal spectral function of are calculated, which relate to a two‐neutron pickup experiment.

Funder

Deutsche Forschungsgemeinschaft

HORIZON EUROPE European Research Council

Publisher

Wiley

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