Current browse context:
cond-mat.dis-nn
Change to browse by:
References & Citations
Condensed Matter > Disordered Systems and Neural Networks
Title: From Architectures to Applications: A Review of Neural Quantum States
(Submitted on 14 Feb 2024 (v1), last revised 5 Apr 2024 (this version, v2))
Abstract: Due to the exponential growth of the Hilbert space dimension with system size, the simulation of quantum many-body systems has remained a persistent challenge until today. Here, we review a relatively new class of variational states for the simulation of such systems, namely neural quantum states (NQS), which overcome the exponential scaling by compressing the state in terms of the network parameters rather than storing all exponentially many coefficients needed for an exact parameterization of the state. We introduce the commonly used NQS architectures and their various applications for the simulation of ground and excited states, finite temperature and open system states as well as NQS approaches to simulate the dynamics of quantum states. Furthermore, we discuss NQS in the context of quantum state tomography.
Submission history
From: Hannah Lange [view email][v1] Wed, 14 Feb 2024 18:59:16 GMT (7072kb,D)
[v2] Fri, 5 Apr 2024 09:16:03 GMT (7124kb,D)
Link back to: arXiv, form interface, contact.