Provided is a method for testing an autonomous system of which a virtual image exists, the virtual image including at least one virtual image of an autonomous component including the following steps: a) Acquiring of component data providing information in relation to a movement of the at least one virtual image of the autonomous component; b) Creating, in the virtual image, at least one virtual object; c) Generating, in the virtual image, a corpus around the at least one virtual object or/and the virtual image of the at least one component; d) Representing, in the virtual image, a movement of the at least one virtual object or/and the virtual image of the at least one autonomous component; e) Acquiring reaction data in relation to the movement of the at least one virtual object or/and the virtual image; f) Evaluating a feasible course of movement considering the reaction data.

Computational systems and methods employ characteristics of a quantum processor determined or sampled between a start and an end of an annealing evolution per an annealing schedule. The annealing evolution can be reinitialized, reversed or continued after determination. The annealing evolution can be interrupted. The annealing evolution can be ramped immediately prior to or as part of determining the characteristics. The annealing evolution can be paused or not paused immediately prior to ramping. A second representation of a problem can be generated based at least in part on the determined characteristics from an annealing evolution performed on a first representation of the problem. The determined characteristics can be autonomously compared to an expected behavior, and alerts optionally provided and/or the annealing evolution optionally terminated based on the comparison. Iterations of annealing evolutions may be performed until an exit condition occurs.

Computational systems and methods employ characteristics of a quantum processor determined or sampled between a start and an end of an annealing evolution per an annealing schedule. The annealing evolution can be reinitialized, reversed or continued after determination. The annealing evolution can be interrupted. The annealing evolution can be ramped immediately prior to or as part of determining the characteristics. The annealing evolution can be paused or not paused immediately prior to ramping. A second representation of a problem can be generated based at least in part on the determined characteristics from an annealing evolution performed on a first representation of the problem. The determined characteristics can be autonomously compared to an expected behavior, and alerts optionally provided and/or the annealing evolution optionally terminated based on the comparison. Iterations of annealing evolutions may be performed until an exit condition occurs.

Computational systems and methods employ characteristics of a quantum processor determined or sampled between a start and an end of an annealing evolution per an annealing schedule. The annealing evolution can be reinitialized, reversed or continued after determination. The annealing evolution can be interrupted. The annealing evolution can be ramped immediately prior to or as part of determining the characteristics. The annealing evolution can be paused or not paused immediately prior to ramping. A second representation of a problem can be generated based at least in part on the determined characteristics from an annealing evolution performed on a first representation of the problem. The determined characteristics can be autonomously compared to an expected behavior, and alerts optionally provided and/or the annealing evolution optionally terminated based on the comparison. Iterations of annealing evolutions may be performed until an exit condition occurs.

Computational systems and methods employ characteristics of a quantum processor determined or sampled between a start and an end of an annealing evolution per an annealing schedule. The annealing evolution can be reinitialized, reversed or continued after determination. The annealing evolution can be interrupted. The annealing evolution can be ramped immediately prior to or as part of determining the characteristics. The annealing evolution can be paused or not paused immediately prior to ramping. A second representation of a problem can be generated based at least in part on the determined characteristics from an annealing evolution performed on a first representation of the problem. The determined characteristics can be autonomously compared to an expected behavior, and alerts optionally provided and/or the annealing evolution optionally terminated based on the comparison. Iterations of annealing evolutions may be performed until an exit condition occurs.

An equipment monitoring management method includes the following steps. A positioned picture layer including a base map divided into a plurality of grids is provided, wherein each of the grids has a first coordinate value and the base map of the positioned picture layer corresponds to the site layout. A first set file including an equipment identifier and a second coordinate value corresponding to the equipment identifier is generated by receiving an input of relevant equipment information. The second coordinate value corresponding to the equipment identifier is compared with the first coordinate values according to the first set file to determine the grid associated with the second coordinate value corresponding to the equipment identifier and an equipment icon is generated according to the equipment identifier or equipment name. The equipment icon is displayed on the grid associated with the second coordinate value corresponding to the equipment identifier.

An equipment monitoring management method includes the following steps. A positioned picture layer including a base map divided into a plurality of grids is provided, wherein each of the grids has a first coordinate value and the base map of the positioned picture layer corresponds to the site layout. A first set file including an equipment identifier and a second coordinate value corresponding to the equipment identifier is generated by receiving an input of relevant equipment information. The second coordinate value corresponding to the equipment identifier is compared with the first coordinate values according to the first set file to determine the grid associated with the second coordinate value corresponding to the equipment identifier and an equipment icon is generated according to the equipment identifier or equipment name. The equipment icon is displayed on the grid associated with the second coordinate value corresponding to the equipment identifier.

Computational systems and methods employ characteristics of a quantum processor determined or sampled between a start and an end of an annealing evolution per an annealing schedule. The annealing evolution can be reinitialized, reversed or continued after determination. The annealing evolution can be interrupted. The annealing evolution can be ramped immediately prior to or as part of determining the characteristics. The annealing evolution can be paused or not paused immediately prior to ramping. A second representation of a problem can be generated based at least in part on the determined characteristics from an annealing evolution performed on a first representation of the problem. The determined characteristics can be autonomously compared to an expected behavior, and alerts optionally provided and/or the annealing evolution optionally terminated based on the comparison. Iterations of annealing evolutions may be performed until an exit condition occurs.

Provided is a method for testing an autonomous system of which a virtual image exists, the virtual image including at least one virtual image of an autonomous component including the following steps:

a) Acquiring of component data providing information in relation to a movement of the at least one virtual image of the autonomous component;
b) Creating, in the virtual image, at least one virtual object
c) Generating, in the virtual image, a corpus around the at least one virtual object or/and the virtual image of the at least one component;
d) Representing, in the virtual image, a movement of the at least one virtual object or/and the virtual image of the at least one autonomous component;
e) Acquiring reaction data in relation to the movement of the at least one virtual object or/and the virtual image;
f) Evaluating a feasible course of movement considering the reaction data.

Computational systems and methods employ characteristics of a quantum processor determined or sampled between a start and an end of an annealing evolution per an annealing schedule. The annealing evolution can be reinitialized, reversed or continued after determination. The annealing evolution can be interrupted. The annealing evolution can be ramped immediately prior to or as part of determining the characteristics. The annealing evolution can be paused or not paused immediately prior to ramping. A second representation of a problem can be generated based at least in part on the determined characteristics from an annealing evolution performed on a first representation of the problem. The determined characteristics can be autonomously compared to an expected behavior, and alerts optionally provided and/or the annealing evolution optionally terminated based on the comparison. Iterations of annealing evolutions may be performed until an exit condition occurs.