Hynomics Corporation

Clearsight Systems Inc.

Anil Nerode

Wolf Kohn

John James

A method and apparatus for quantum computing. A computer-program source code, data, and unsubstantiated output variables are converted into a class of computable functions by a program compiler. The computable functions are encoded, and a continualization method is applied to the encoded functions to determine a first-order, time-dependent, differential equation. Variational calculus is employed to construct a Lagrangian whose minimum geodesic is the solution for the first-order, time-dependent, differential equation. The Lagrangian is converted into a quantum, canonical, Hamiltonian operator which is realized as an excitation field via an excitation generator. The excitation field is repeatedly applied to a quantum processor consisting of a lattice of polymer nodes to generate an intensity-versus-vibrational-frequency spectrum of the lattice nodes. The average vibrational spectrum intensity values are used as coefficients in an approximating polynomial of the encoding function to determine the substantiated output variables, or program output.

Method and programmable apparatus for quantum computing

A Multiple-Agent Hybrid Control Architecture (MAHCA) uses agents to analyze design, and implement intelligent control of distributed processes. A single agent can be configured to control a local process and a network of agents can be configured to control more complex distributed processes. Multiple agents interact through messages and can be either permanent or temporary. The network of agents interact to create an emergent global behavior. The network of agents support construction of closed-loop, autonomous systems which react to comply with two degrees of freedom: (1) a logic degree of freedom (useful for implementing switching between modes of control) and (2) an evolution degree of freedom (useful for implementing particular modes of control). Global behavior is emergent from individual agent behaviors and is achieved without central control through the imposition of global constraints on the network of individual agent behaviors (the logic agent network). MAHCA is especially useful for reactive synchronization of real-time distributed processes subject to decision-making under uncertainty where both logical and evolution constraints on system operation must be continuously maintained and where human operators must be kept appraised of current system operation and whose decisions must be promptly and safely executed. MAHCA also provides support for reuse of existing trusted components and incremental provision of expanded functionality in old or new components through formal construction of provably correct real-time software from declarations of desired logic and evolution behavior of system components. Finally, MAHCA agents can be used in conventional digital procedures to speed up an ensemble of procedures.

Multiple-agent hybrid control architecture for intelligent real-time

A Multiple-Agent Hybrid Control Architecture (MAHCA) uses agents to analyze design, and implement intelligent control of distributed processes. A network of agents can be configured to control more complex distributed processes. The network of agents interact to create an emergent global behavior. Global behavior is emergent from individual agent behaviors and is achieved without central control through the imposition of global constraints on the network of individual agent behaviors. Agent synchronization can be achieved by satisfaction of an interagent invariance principle. At each update time, the active plan of each of the agents in the network encodes equivalent behavior modulo a congruence relation determined by the knowledge clauses in each agents's knowledge base. The Control Loop and the Reactive Learning Loop of each agent can be implemented separately. This separation results in an implementation runs faster and with less memory requirements than an unseparated arrangement. A Direct Memory Map (DMM) is to implement the agent architecture. The DMM is a procedure for transforming knowledge and acts as a compiler of agent knowledge by providing a data structure called memory patches, which are used to organize the knowledge contained in each agent's Knowledge Base. Content addressable memory is used as the basic mechanism of the memory patch structure. Content addressable memory uses a specialized register called the comparand to store a pattern that is compared with contents of the memory cells. The DMM has two comparands, the Present State Comparand and the Goal Comparand. The MAHCA can be used for compression/decompression for processing and storage of audio or video data.

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Ithaca, NY, United States of America

Anil Nerode