Computational inverse method for constructing spaces of quantum models from wave functions
Eli Chertkov, Bryan K. Clark

TL;DR
This paper introduces the Eigenstate-to-Hamiltonian Construction (EHC), an inverse computational method that derives Hamiltonians from a given wave function, expanding the exploration of quantum model spaces beyond traditional forward methods.
Contribution
The paper presents EHC, a novel inverse approach to identify Hamiltonians from wave functions, applicable to various models and capable of revealing new quantum states and relationships.
Findings
Constructed a parent Hamiltonian with a new antiferromagnetic ground state
Identified Hamiltonians with degenerate ground states for targeted wave functions
Revealed Hamiltonians sharing ground states with well-known quantum models
Abstract
Traditional computational methods for studying quantum many-body systems are "forward methods," which take quantum models, i.e., Hamiltonians, as input and produce ground states as output. However, such forward methods often limit one's perspective to a small fraction of the space of possible Hamiltonians. We introduce an alternative computational "inverse method," the Eigenstate-to-Hamiltonian Construction (EHC), that allows us to better understand the vast space of quantum models describing strongly correlated systems. EHC takes as input a wave function and produces as output Hamiltonians for which is an eigenstate. This is accomplished by computing the quantum covariance matrix, a quantum mechanical generalization of a classical covariance matrix. EHC is widely applicable to a number of models and in this work we consider seven different examples.…
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