System and method for artificial intelligence
OwnerGraham Moreheadinventor
Life of this patent
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Abstract
An artificial intelligence system within a network including a plurality of interconnected nodes including a first node and a second node, containing a set of interconnected nodes, a “network,” in which some nodes are externally connected, and all nodes are connected to a subset of the other nodes in such a way that the output channel of one node is connected to the input channel of another via a two-way connection, and where each node has access to the system clock, and has a classical computer (CC), and has a quantum computer (QC), and has one or more input channels, each capable of sending or receiving signals, and has one or more output channels, each capable of sending or receiving signals, and can perform a quantum computation cycle.
Claims20
An artificial intelligence node, comprising:
- a classical computer;
- an input channel and an output channel in communication with the classical computer;
- and
- a quantum computer in two-way communication with the classical computer,
- wherein the classical computer configures the quantum computer to perform a quantum computational cycle.
An artificial intelligence system network, comprising:
- a plurality of nodes interconnected as a network, wherein each node comprising:
- a classical computer;
- one or more input channels and one or more output channels in communication with the classical computer, both the input and output channels configured to send and receive signals;
- a quantum computer in two-way communication with the classical computer;
- and
- a controller in two-way communication with the network and configured to facilitate a communication between a user and the network,
- wherein the classical computer configures the quantum computer to perform a quantum computational cycle.
A computer-implemented method, comprising;
- forming a network of a plurality of interconnected nodes, wherein each node comprises a classical computer, one or more input channels and one or more output channels in communication with the classical computer, wherein both the input and output channels configured to send and receive signals, and a quantum computer in two-communication with the classical computer, wherein the classical computer configures the quantum computer to perform a quantum computation cycle;
- computing an importance, using the classical computer, of each input channel using a plurality of methods including ablation and correlation;
- attenuating, using the classical computer, each input channel determined less important;
- amplifying, using the classical computer, each input channel determined more important;
- and
- disconnecting, using the classical computer, each input channel below a predetermined level of importance.
A method of improving an artificial intelligence system, the artificial intelligence system comprising a plurality of nodes interconnected as a network, wherein each node includes a classical computer, one or more input channels and one or more output channels in communication with the classical computer, both the input and output channels configured to send and receive signals, a quantum computer in two-way communication with the classical computer, and a controller in two-way communication with the network and configured to facilitate a communication between a user and the network, wherein the classical computer configures the quantum computer to perform a quantum computational cycle, the method comprising:
- finding, using the controller, a set N of distinct unconnected nodes having output channels with correlated signals;
- connecting, using the controller, the set N nodes to afford intercommunication;
- and
- altering, by each node in the set N nodes, the classical computer internal to the node according to a goal comprising:
- minimizing a number of duplicate computations;
- maximizing signal robustness;
- and
- maximizing coding efficiency.
Dependencies are inferred from the claim text.