Energy levels estimation on a quantum computer by evolution of a physical quantity
arXiv:2108.08873 · doi:10.1016/j.physleta.2021.127843
Abstract
We show that the time dependence of mean value of a physical quantity is related with the transition energies of a quantum system. In the case when the operator of a physical quantity anticommutes with the Hamiltonian of a system, studies of the evolution of its mean value allow determining the energy levels of the system. On the basis of the result, we propose a method for determining energy levels of physical systems on a quantum computer. The method opens a possibility to achieve quantum supremacy in solving the problem of finding minimal or maximal energy of Ising model with spatially anisotropic interaction using multi-qubit quantum computers. We apply the method for spin systems (spin in magnetic field, spin chain, Ising model on squared lattice) and realize it on IBM's quantum computers.
References in corpus (6)
- A Quantum Approximate Optimization Algorithm
- Quantum Computation of Electronic Transitions using a Variational Quantum Eigensolver
- A Quantum Approximate Optimization Algorithm Applied to a Bounded Occurrence Constraint Problem
- Evaluating energy differences on a quantum computer with robust phase estimation
- Efficient encoding of the weighted MAX k-CUT on a quantum computer using QAOA
- Quantum phase estimation for a class of generalized eigenvalue problems