Abstract: A quantum computing platform may train, using historical workload information, a container configuration generation model. The computing platform may receive, from a workload processing system, a data feed indicating current workload information. The computing platform may input, into the container configuration generation model, the current workload information, which may cause the container configuration generation model to produce a container configuration output, where the container configuration output may be an optimal batch configuration for processing the data feed, and where the optimal batch configuration may be a configuration that optimizes between computing resources and processing speed.

Abstract: A quantum computing platform may establish a smart contract approval and management model, including: rules for automated validation, and rules for smart contract approver validation. The computing platform may receive, from a workload processing system, a data feed indicating current workload information. The computing platform may generate, based on the data feed, a first container configuration output, defining a batch configuration for use in processing the data feed. The computing platform may validate, using the one or more rules for automated validation, the first container configuration output. The computing platform may send, to the workload processing system, the first container configuration output and one or more commands directing the workload processing system to process the data feed using the batch configuration defined by the first container configuration output, which may cause the workload processing system to process the data feed using the batch configuration.

Abstract: A quantum computing platform may train, using historical workload information, a non-fungible token contract (NFTC) model. The computing platform may receive, from a workload processing system, a data feed indicating current workload information. The computing platform may generate container configuration outputs comprising configurations for performing batch processing of the data feed. The computing platform may input the container configuration outputs into the NFTC model to select an optimal batch configuration for the batch processing of the data feed by: 1) ranking, based on optimization criteria, the container configuration outputs, and 2) selecting a highest ranked container configuration output of the container configuration outputs.

Abstract: A quantum computing platform may establish a smart contract approval and management model, including: rules for automated validation, and rules for smart contract approver validation. The computing platform may receive, from a workload processing system, a data feed indicating current workload information. The computing platform may generate, based on the data feed, a first container configuration output, defining a batch configuration for use in processing the data feed. The computing platform may validate, using the one or more rules for automated validation, the first container configuration output. The computing platform may send, to the workload processing system, the first container configuration output and one or more commands directing the workload processing system to process the data feed using the batch configuration defined by the first container configuration output, which may cause the workload processing system to process the data feed using the batch configuration.