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Physical Review A

Evolution of systems with a slowly changing Hamiltonian

Zhaoyan Wu

Published Aug 1, 1989• 15 citations
Publisher

Abstract

A general method of solving Schr\"odinger equations for systems with a slowly (not necessarily extremely slowly) changing Hamiltonian is proposed. Its zeroth-order approximation gives the improved adiabatic theorem by Berry [Proc. R. Soc. London, Ser. A 392, 45 (1984)]. It shows how transitions between different energy levels occur when the Hamiltonian changes less slowly. Selection rules for such transitions are discussed.

DOI
10.1103/physreva.40.2184

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A general method of solving Schr"odinger equations for systems with a slowly (not necessarily extremely slowly) changing Hamiltonian is proposed. Its zeroth-order approximation gives the improved adiabatic theorem by Berry [Proc. R. Soc. London, Ser. A 392, 45 (1984)]. It shows how transitions between different energy levels occur when the Hamiltonian changes less slowly. Selection rules for such transitions are discussed.
The higher-order adiabatic approximation method of solving the Schr\"odinger equation for slowly transported quantum systems, which contains Berry's improved adiabatic theorem as its zeroth-order step, is generalized to solve evolution equations for a wide class of slowly transported classical systems. It is shown how the adiabatic condition is broken and transitions between different modes take place. Selection rules for such transitions are shown to be a topological property of the evolution path in parameter space.
The adiabatic theorem is a powerful result concerning the evolution of quantum mechanical systems. Intuitively, it states the following: suppose we want to study the evolution of a quantum mechanical system governed by a given Hamiltonian H\mathcal HH (Def. 6.1), and the initial state of the system is the eigenstate of H\mathcal HH corresponding to its lowest eigenvalue. The laws of quantum physics tell us that the evolution of the system over time follows the Schrüdinger equation, Eq. (6.1). Suppose now that the Hamiltonian is not fixed, but rather, it changes very slowly over time, so that the evolution of the system is described by the differential equation i d∣ψ(t)⟩dt=H(t)∣ψ(t)⟩i\,\frac{\mathrm{d} | \psi(t) \rangle}{\mathrm{d}t} = \mathcal{H}(t) | \psi(t) \rangleidtd∣ψ(t)⟩​=H(t)∣ψ(t)⟩, and H(t)\mathcal{H}(t)H(t) is slowly changing. If, for any value of the time parameter ttt, there is always a gap between the lowest eigenvalue of H(t)\mathcal{H}(t)H(t) and all other eigenvalues, then the adiabatic theorem asserts that the state of the system always remains in an eigenstate with the lowest eigenvalue throughout the evolution. One specific case of interest in this chapter occurs when the time-dependent Hamiltonian H(t)\mathcal{H}(t)H(t) varies from an initial (time-independent) Hamiltonian HI\mathcal{H}_{\mathrm{I}}HI​ to a final Hamiltonian HF\mathcal{H}_{\mathrm{F}}HF​. If the change happens slowly, and the initial state of the system is an eigenstate of HI\mathcal{H}_{\mathrm{I}}HI​ with minimum eigenvalue, the adiabatic theorem asserts that the evolution eventually leads to the eigenstate with minimum eigenvalue of the final Hamiltonian HF\mathcal{H}_{\mathrm{F}}HF​. This result can be used for optimization: imagine that the initial Hamiltonian encodes an easy problem for which we can construct the eigenstate with minimum eigenvalue, and the final Hamiltonian encodes a difficult optimization problem whose solution is given by the eigenstate with minimum eigenvalue. By the adiabatic theorem, evolving the eigenstate of the initial Hamiltonian while slowly changing the Hamiltonian into the final one leads to the solution of the difficult optimization problem. Of course we need to know how slowly HI\mathcal{H}_{\mathrm{I}}HI​ should be changed into HF\mathcal{H}_{\mathrm{F}}HF​. The adiabatic theorem is at the heart of the quantum approximate optimization algorithm (QAOA), a framework that has been widely used to implement optimization algorithms on existing quantum hardware, because it has low requirements of quantum resources–although it does not guarantee improvements over classical algorithms in general. In this chapter we first discuss the adiabatic theorem, and then give an overview of QAOA.
The adiabatic theorem states that an initial eigenstate of a slowly varying Hamiltonian remains close to an instantaneous eigenstate of the Hamiltonian at a later time. We show that a perfunctory application of this statement is problematic if the change in eigenstate is significant, regardless of how closely the evolution satisfies the requirements of the adiabatic theorem. We also introduce an example of a two-level system with an exactly solvable evolution to demonstrate the inapplicability of the adiabatic approximation for a particular slowly varying Hamiltonian.
In this paper we find the quantities that are adiabatic invariants of any desired order for a general slowly time-dependent Hamiltonian. In a preceding paper, we chose a quantity that was initially an adiabatic invariant to first order, and sought the conditions to be imposed upon the Hamiltonian so that the quantum mechanical adiabatic theorem would be valid to mth order. [We found that this occurs when the first (m − 1) time derivatives of the Hamiltonian at the initial and final time instants are equal to zero.] Here we look for a quantity that is an adiabatic invariant to mth order for any Hamiltonian that changes slowly in time, and that does not fulfill any special condition (its first time derivatives are not zero initially and finally).