Quantum-dot cellular automata (QCA) may offer a viable alternative of tradi
tional transistor-based technology at the nanoscale. When modeling a QCA ci
rcuit, the number of degrees of freedom necessary to describe the quantum m
echanical state increases exponentially making modeling even modest size ce
ll arrays difficult. The intercellular Hartree approximation largely reduce
s the number of state variables and still gives good results especially whe
n the system remains near ground state. This suggests that a large part of
the correlation degrees of freedom are not essential from the point of view
of the dynamics. In certain cases, however, such as, for example, the majo
rity gate with unequal input legs, the Hartree approximation gives qualitat
ively wrong results. An intermediate model is constructed between the Hartr
ee approximation and the exact model, based on the coherence vector formali
sm. By including correlation effects to a desired degree, it improves the r
esults of the Hartree method and gives the approximate dynamics of the corr
elation terms. It also models the majority gate correctly. Beside QCA cell
arrays, our findings are valid for Ising spin chains in transverse magnetic
field, and can be straightforwardly generalized for coupled two-level syst
ems with a more complicated Hamiltonian. (C) 2001 American Institute of Phy
sics.