We propose an annealing method as an effective way of operating quantu
m-cellular-automaton (QCA) systems, which are devices for computation
that utilize the minimum energy state of electrons in a quantum cell s
ystem. A QCA system has an energy function with many local minima and
therefore cannot be operated as desired if placed under the conditions
of a thermodynamically open system. Accordingly, for successful opera
tion of a QCA system (i.e., making the QCA system converge successfull
y to its minimum-energy state), we propose a method of operation based
on the concept of thermodynamic annealing. We simulate the dynamics o
f various QCA logic-gate systems operated by this annealing method, an
d show that data processing in QCA system can be carried out accuratel
y by means of this annealing method, The applicability of QCA systems
to non-Neumann parallel-processing computation is also described. (C)
1997 American Institute of Physics.