Abstract: Methods and apparatus for asset management are provided. The apparatus, for example, a processor to receive an input from a user via an input/output device, the input including information for a plurality of assets maintained by the user; decompose a main problem into multiple sub-problems; independently solve each of the multiple sub-problems to determine corresponding multiple sub-solutions; recombine the corresponding multiple sub-solutions into a solution to the main problem; calculate an intervention schedule for each asset of the plurality of assets based on the solution; and upon receiving a request from the user, output the intervention schedule via one of a display of the input/output device or remote electronic device in communication with the asset management apparatus.

Abstract: Methods and apparatus for asset management are provided. The apparatus, for example, a processor to receive an input from a user via an input/output device, the input including information for a plurality of assets maintained by the user; decompose a main problem into multiple sub-problems; independently solve each of the multiple sub-problems to determine corresponding multiple sub-solutions; recombine the corresponding multiple sub-solutions into a solution to the main problem; calculate an intervention schedule for each asset of the plurality of assets based on the solution; and upon receiving a request from the user, output the intervention schedule via one of a display of the input/output device or remote electronic device in communication with the asset management apparatus.

Abstract: Quantum processors and classical computers are employed together to solve computational problems. The classical computer may include a parameter learning module that produces a set of parameters. The quantum processor may be configured with the set of parameters to define a problem Hamiltonian and operated to perform adiabatic quantum computation and/or quantum annealing on the problem Hamiltonian to return a first solution to the problem. The parameter learning module of the classical computer may then be used to revise the set of parameters by performing a classical optimization, such as a classical heuristic optimization. The quantum processor may then be programmed with the revised set of parameters to return a revised solution to the problem. The quantum processor may include a superconducting quantum processor implementing superconducting flux qubits.

Abstract: An analog processor, for example a quantum processor may include a plurality of elongated qubits that are disposed with respect to one another such that each qubit may selectively be directly coupled to each of the other qubits via a single coupling device. Such may provide a fully interconnected topology.

Abstract: Systems, methods and articles solve queries or database problems through the use of graphs. An association graph may be formed based on a query graph and a database graph. The association graph may be solved for a clique, providing the results to a query or problem and/or an indication of a level of responsiveness of the results. Thus, unlimited relaxation of constraint may be achieved. Analog processors such as quantum processors may be used to solve for the clique.

Abstract: Systems, methods and articles solve queries or database problems through the use of graphs. An association graph may be formed based on a query graph and a database graph. The association graph may be solved for a clique, providing the results to a query or problem and/or an indication of a level of responsiveness of the results. Thus, unlimited relaxation of constraint may be achieved. Analog processors such as quantum processors may be used to solve for the clique.

Abstract: Systems, methods and articles solve queries or database problems through the use of graphs. An association graph may be formed based on a query graph and a database graph. The association graph may be solved for a clique, providing the results to a query or problem and/or an indication of a level of responsiveness of the results. Thus, unlimited relaxation of constraint may be achieved. Analog processors such as quantum processors may be used to solve for the clique.

Abstract: An analog processor, for example a quantum processor may include a plurality of elongated qubits that are disposed with respect to one another such that each qubit may selectively be directly coupled to each of the other qubits via a single coupling device. Such may provide a fully interconnected topology.

Abstract: Systems, methods and articles solve queries or database problems through the use of graphs. An association graph may be formed based on a query graph and a database graph. The association graph may be solved for a clique, providing the results to a query or problem and/or an indication of a level of responsiveness of the results. Thus, unlimited relaxation of constraint may be achieved. Analog processors such as quantum processors may be used to solve for the clique.

Abstract: A computer program product for use in conjunction with a computer system, the computer program product comprising a computer readable storage medium and a computer program mechanism embedded therein. The computer program mechanism comprises a quantum computing integrated development environment (QC-IDE) module and a compiler module. The QC-IDE module is used to design a quantum logic for a plurality of qubits. The QC-IDE module includes instructions for generating a time resolved set of operators. The compiler module includes instructions for compiling the time resolved set of operators into a set of quantum machine language instructions.