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Simulating excited states of the Lipkin model on a quantum computer

Manqoba Q. Hlatshwayo, Yinu Zhang, Herlik Wibowo, Ryan LaRose, Denis Lacroix, Елена Литвинова

2022Physical review. C34 citationsDOIOpen Access PDF

Abstract

We simulate the excited states of the Lipkin model using the recently proposed quantum equation of motion (qEOM) method. The qEOM generalizes the EOM on classical computers and gives access to collective excitations based on quasiboson operators ${\stackrel{\ifmmode \hat{}\else \^{}\fi{}}{O}}_{n}^{\ifmmode\dagger\else\textdagger\fi{}}(\ensuremath{\alpha})$ of increasing configuration complexity $\ensuremath{\alpha}$. We show, in particular, that the accuracy strongly depends on the fermion to qubit encoding. Standard encoding leads to large errors, but the use of symmetries and the Gray code reduces the quantum resources and improves significantly the results on current noisy quantum devices. With this encoding scheme, we use IBM quantum machines to compute the energy spectrum for a system of $N=2$, 3, and 4 particles, and compare the accuracy against the exact solution. We found that the results of the approach with $\ensuremath{\alpha}=2$, an analog of the second random phase approximation (SRPA), are, in principle, more accurate than with $\ensuremath{\alpha}=1$, which corresponds to the random phase approximation (RPA), but the SRPA is more amenable to noise for large coupling strengths. Thus, the proposed scheme shows potential for achieving higher spectroscopic accuracy by implementations with higher configuration complexity, if a proper error mitigation method is applied.

Topics & Concepts

Excited stateQubitPhysicsQuantumIBMBosonHomogeneous spaceCoupling (piping)Energy (signal processing)Quantum mechanicsComputer scienceAlgorithmStatistical physicsMathematicsEngineeringOpticsGeometryMechanical engineeringQuantum Computing Algorithms and ArchitectureQuantum many-body systemsQuantum Information and Cryptography
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