Deep neural network with multiple layers formed of multi-terminal logic gates

A method of computing a function using a neural network circuit, comprising:

• providing a neural network circuit including:
• a plurality of logic gates arranged into a plurality of layers, each of the logic gates having a plurality of inputs and an output;
• and
• a plurality of logical connectors comprising sets of logical connectors arranged between each pair of adjacent layers, each of the logical connectors having one of a plurality of different logical connector states, wherein the plurality of logical connectors are programmed to implement a function;
• and
• computing the function for an input signal using the neural network.

A single chip, comprising:

• a plurality of logic gates arranged into a plurality of layers of a neural network circuit, each of the logic gates having a plurality of inputs and an output;
• a plurality of logical connectors arranged between logic gates of each pair of adjacent layers, each of the logical connectors determining a relationship between the output of a first logic gate to one of the plurality of inputs of a second logic gate, and each of the logical connectors having one of a plurality of different logical connector states;
• a plurality of input terminals;
• and
• at least one output terminal,
• wherein the chip is configured to compute a function between the input terminals and the output terminal.