Variational Quantum Circuits to Prepare Low Energy Symmetry States

Journal Article · 23 February 2022 · Symmetry

DOI: https://doi.org/10.3390/sym14030457 · OSTI ID:1846462

Selvarajan, Raja ; Sajjan, Manas; Kais, Sabre

We explore how to build quantum circuits that compute the lowest energy state corresponding to a given Hamiltonian within a symmetry subspace by explicitly encoding it into the circuit. We create an explicit unitary and a variationally trained unitary that maps any vector output by ansatz A(α→) from a defined subspace to a vector in the symmetry space. The parameters are trained varitionally to minimize the energy, thus keeping the output within the labelled symmetry value. The method was tested for a spin XXZ Hamiltonian using rotation and reflection symmetry and H2 Hamiltonian within Sz=0 subspace using S2 symmetry. We have found the variationally trained unitary gives good results with very low depth circuits and can thus be used to prepare symmetry states within near term quantum computers.

• Research Organization: Purdue Univ., West Lafayette, IN (United States)
• Sponsoring Organization: National Science Foundation; USDOE; USDOE Office of Science (SC), Basic Energy Sciences (BES)
• Grant/Contract Number: SC0019215
• OSTI ID: 1846462
• Journal Information: Symmetry, Journal Name: Symmetry Journal Issue: 3 Vol. 14; ISSN SYMMAM; ISSN 2073-8994
• Publisher: MDPI AGCopyright Statement
• Country of Publication: Switzerland
• Language: English