Abstract: Circuits are provided that create entanglement among qubits having Gottesman-Kitaev-Preskill (GKP) encoding using photonic systems and structures. For example, networks of beam splitters and homodyne measurement circuits can be used to perform projective entangling measurements on GKP qubits from different quantum systems. In some embodiments. GKP qubits can be used to implement quantum computations using fusion-based quantum computing or other fault-tolerant quantum computing approaches.

Abstract: Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Abstract: Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Abstract: Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Abstract: A driver history report may include many factors to express performance or quality of driver service. Vehicle event recorders are coupled to systems which form an association between collected data and the vehicle operator in command of the vehicle at the event moment. Systems provide means for long-term storage of data particularly data in a structure which preserves the association between a driver and event records attributed to him. Special recall operations executed against stored data yields operator performance reporting—including a single value performance score indicative of a vehicle operator's performance and safety history. An analyzer system operates to recall data, particularly data from a plurality of events all associated with a single operator but recorded over an extended period of time. Data is arranged such that mathematical analysis may be applied independently to various data elements or data “fields” to produce performance metrics and ratios which reflect performance.

Abstract: Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Abstract: A driver history report may include many factors to express performance or quality of driver service. Vehicle event recorders are coupled to systems which form an association between collected data and the vehicle operator in command of the vehicle at the event moment. Systems provide means for long-term storage of data particularly data in a structure which preserves the association between a driver and event records attributed to him. Special recall operations executed against stored data yields operator performance reporting—including a single value performance score indicative of a vehicle operator's performance and safety history. An analyzer system operates to recall data, particularly data from a plurality of events all associated with a single operator but recorded over an extended period of time. Data is arranged such that mathematical analysis may be applied independently to various data elements or data “fields” to produce performance metrics and ratios which reflect performance.

Abstract: A driver history report may include many factors to express performance or quality of driver service. Vehicle event recorders are coupled to systems which form an association between collected data and the vehicle operator in command of the vehicle at the event moment. Systems provide means for long-term storage of data particularly data in a structure which preserves the association between a driver and event records attributed to him. Special recall operations executed against stored data yields operator performance reporting—including a single value performance score indicative of a vehicle operator's performance and safety history. An analyzer system operates to recall data, particularly data from a plurality of events all associated with a single operator but recorded over an extended period of time. Data is arranged such that mathematical analysis may be applied independently to various data elements or data “fields” to produce performance metrics and ratios which reflect performance.

Abstract: Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Abstract: Vehicle operator performance history recording and reporting systems include devices and methods of automatically collecting and processing vehicle crash or event data over time to form a driver history report. A driver history report may include many factors to express performance or quality of driver service, and these may be reduced to a single value normalized expression in view of a collection of many drivers. Vehicle event recorders are arranged to capture data relating to a particular event. These vehicle event recorders are further coupled to systems which form an association between collected data and the vehicle operator in command of the vehicle at the event moment. Systems provide means for long-term storage of data particularly data in a structure which preserves the association between a driver and event records attributed to him/her.

Abstract: A driver history report may include many factors to express performance or quality of driver service. Vehicle event recorders are coupled to systems which form an association between collected data and the vehicle operator in command of the vehicle at the event moment. Systems provide means for long-term storage of data particularly data in a structure which preserves the association between a driver and event records attributed to him. Special recall operations executed against stored data yields operator performance reporting—including a single value performance score indicative of a vehicle operator's performance and safety history. An analyzer system operates to recall data, particularly data from a plurality of events all associated with a single operator but recorded over an extended period of time. Data is arranged such that mathematical analysis may be applied independently to various data elements or data “fields” to produce performance metrics and ratios which reflect performance.

Abstract: Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Abstract: Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Abstract: Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Abstract: Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Abstract: Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Abstract: Vehicle operator performance history recording and reporting systems include devices and methods of automatically collecting and processing vehicle crash or event data over time to form a driver history report. A driver history report may include many factors to express performance or quality of driver service, and these may be reduced to a single value normalized expression in view of a collection of many drivers. Vehicle event recorders are arranged to capture data relating to a particular event. These vehicle event recorders are further coupled to systems which form an association between collected data and the vehicle operator in command of the vehicle at the event moment. Systems provide means for long-term storage of data particularly data in a structure which preserves the association between a driver and event records attributed to him/her.

Abstract: Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Abstract: A method and apparatus for processing seed or seed samples includes an autonomous sorter which sorts seed by pre-programmed criteria. Optional features can include a counter to autonomously ensure the correct number of seeds to a seed package, a cleaning device, a sheller, and a label applicator. A conveyance path, controlled automatically, can move the seed to appropriate and desired stations during the processing while maintaining the sample segregating from other samples. Validation of the sample can be pre-required and information about the sample can be derived and stored for further use.

Abstract: A method and apparatus for processing seed or seed samples includes an autonomous sorter which sorts seed by pre-programmed criteria. Optional features can include a counter to autonomously ensure the correct number of seeds to a seed package, a cleaning device, a sheller, and a label applicator. A conveyance path, controlled automatically, can move the seed to appropriate and desired stations during the processing while maintaining the sample segregating from other samples. Validation of the sample can be pre-required and information about the sample can be derived and stored for further use.