|Abstract: ||A method of increasing an efficiency at which a plurality of threshold
gates arranged as neuromorphic hardware is able to perform a linear
algebraic calculation having a dominant size of N. The
computer-implemented method includes using the plurality of threshold
gates to perform the linear algebraic calculation in a manner that is
simultaneously efficient and at a near constant depth. "Efficient" is
defined as a calculation algorithm that uses fewer of the plurality of
threshold gates than a naive algorithm. The naive algorithm is a
straightforward algorithm for solving the linear algebraic calculation.
"Constant depth" is defined as an algorithm that has an execution time
that is independent of a size of an input to the linear algebraic
calculation. The near constant depth comprises a computing depth equal to
or between O(log(log(N)) and the constant depth.