International Business Machines Corporation

Michael Johnston

Vasileios Vasileiadis

Srikumar Venugopal

Stefano Braghin

Christian Pinto

Yiannis Gkoufas

Marco Simioni

Ioannis Gkoufas

Burkhard Ringlein

Mario Motta

Edward Oliver Pyzer-Knapp

Vasileiadis Vasileios

Systems, computer-implemented methods and/or computer program products that can facilitate providing a defined parameter, determining whether to employ the defined parameter for a variational quantum algorithm, and running the variational quantum algorithm on a quantum system, are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a decision component that determines, based upon an uncertainty prediction regarding the usability of the defined parameter that has been output from a machine learning model, whether to employ the defined parameter in a variational quantum algorithm, such as run on a quantum system.

Uncertainty aware parameter provision for a variational quantum algorithm

An embodiment includes detecting a search request of a multi-dimensional search space by a system; responsive to detecting the search request, sampling representative parameters in the multi-dimensional search space based on a sampling threshold. The embodiment includes determining a parameter range of the representative parameters in the multi-dimensional search space. The embodiment also includes transforming a part of the multi-dimensional search space based on a statistical guarantee and the parameter range, where the part of the multi-dimensional search space is a refined space for a solution of the search request.

Refinement of large multi-dimensional search spaces

A computer implemented method for automatically creating and executing a test harness for a workflow includes creating a workflow package including a version identification and a workflow graph definition and creating a workflow instance as a copy of the workflow package. The workflow instance is executed to generate output data and the output data is saved into the workflow instance. The workflow instance is saved, with the output data, as a test archive. One or more components of an updated workflow package are tested with the test archive; and an indication of pass or fail of the testing of the updated workflow package is outputted.

Automatic creation and execution of a test harness for workflows

In an approach for storage, search, acquisition, and composition of a digital artifact, a processor obtains the digital artifact in a digital marketplace platform. The digital artifact is a collection of digital data with automatically generated and verifiable provenance and usage data. A processor transforms the digital artifact to define an access privilege. A processor shares the digital artifact in the digital marketplace platform by providing a view of a catalogue including the digital artifact. A processor authorizes a usage request based on the access privilege. A processor rewards a source of the digital artifact based on the usage of the digital artifact.

Digital artifact marketplace

Various embodiments are provided for dynamically factoring and composing workflows in a computing environment by one or more processors in a computing system. Subgraphs (e.g., blocks) of workflows stored in a workflow library may be identified. The subgraphs may be functional blocks such as, for example, the functional blocks may perform a logical task. Similarities and relationships may be identified between one or more of the blocks of one or more workflows. One or more blocks may be suggested for use in workflow opportunities of target workflows based on the identified associated similarities and relationships.

Dynamic factoring and composing workflows

In an approach for transforming workflows based on goals and constraints, a processor receives a workflow definition and one or more events for a workflow output by a workflow orchestrator, wherein the one or more events are at least one of a parsing event and a scheduling event. A processor determines, using one or more transformers, one or more transformations to the workflow based on a set of goals and constraints, wherein the one or more transformations is at least one of addition of a new node, addition of a new graph, modification of at least one existing node, modification of at least one existing graph, removal of at least one existing node, and removal of at least one existing graph. A processor dynamically applies, using one or more enforcers, the one or more transformations to the workflow based on the set of goals and constraints.

Workflow transformation framework

Various embodiments are provided for patching of workflows in a computing environment by one or more processors in a computing system. One or more patches may be extracted from a source workflow. The target workflow in a plurality of nodes may be statically or dynamically modified by applying the one or more patches to the target workflow. The one or more of the plurality of nodes may be added, removed, or modified in the target workflow while the target workflow is active according to applying the one or more patches.

Workflow patching

A computer implemented method for optimizing performance of workflow includes associating each of a plurality of workflow nodes in a workflow with a data cache and managing the data cache on a local storage device on one of one or more compute nodes. A scheduler can request execution of the tasks of a given one of the plurality of workflow nodes on one of the one of more compute nodes that hosts the data cache associated with the given one of the plurality of workflow nodes. Each of the plurality of workflow nodes is permitted to access a distributed filesystem that is visible to each of the plurality of compute nodes. The data cache stores data produced by the tasks of the given one of the plurality of workflow nodes.

Optimization of workflows with dynamic file caching

Embodiments are provided for providing workflow pipeline optimization in a computing environment. Execution of a workflow containing dependencies between one or more subject nodes and one or more observer nodes may be dynamically optimized by determining a wait time between successive executions of the workflow for the one or more observer nodes.

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Dublin, Ireland

Michael Johnston