Abstract: A method and system are disclosed for performing real-time analytics on a plurality of data streams, the method comprising obtaining a plurality of data streams; accumulating real-time changes of the obtained plurality of data streams in a buffer unit to provide a buffered data portion; monitoring the buffered data portion for determining a calculation event, wherein the calculation event is based on a strategy based on observing given features in the buffered data portion; upon detection of the calculation event, generating an optimization problem indicative of the real-time analytics to be performed on one of given data portions of the plurality of data streams and a data structure generated using given data portions of the plurality of data streams; transforming the generated optimization problem into an optimization problem suitable for an optimization oracle; providing the transformed generated optimization problem to the optimization oracle; obtaining at least one solution from the optimization oracle;

Abstract: The present disclosure provides methods, systems, and media for quantum computing, including allowing access to quantum ready and/or quantum enabled computers in a distributed computing environment (e.g., the cloud). Such methods and systems may provide optimization and computational services. Methods and systems of the present disclosure may enable quantum computing to be relatively and readily scaled across various types of quantum computers and users at various locations, in some cases without the need for users to have a deep understanding of the resources, implementation or the knowledge that may be required for solving optimization problems using a quantum computer. Systems provided herein may include user interfaces that enable users to perform data analysis in a distributed computing environment while taking advantage of quantum technology in the backend.

Abstract: The present disclosure provides methods, systems, and media for allowing access to quantum ready and/or quantum enabled computers in a distributed computing environment (e.g., the cloud). Such methods and systems may provide optimization and computational services on the cloud. Methods and systems of the present disclosure may enable quantum computing to be relatively and readily scaled across various types of quantum computers and users at various locations, in some cases without the need for users to have a deep understanding of the resources, implementation or the knowledge that may be required for solving optimization problems using a quantum computer. Systems provided herein may include user interfaces that enable users to perform data analysis in a distributed computing environment while taking advantage of quantum technology in the backend.

Abstract: Described herein are methods, systems, and media for generating a quantum-ready or quantum-enabled software development kit (SDK) for a quantum computing system. Such methods may comprise accepting user input from an application at an application interface, which application is executed on a digital computer, and implementing one or more algorithms, at an algorithms layer, that may be solved heuristically or exactly depending on the requirements of the user input. The one or more algorithms may abstract away a complexity of the application; transforming the one or more algorithms from the application space into the one or more instructions in polynomial unconstrained binary optimization (PUBO) form. The one or more instruction may be executed in PUBO form at the common interface solver layer.

Abstract: A method and system are disclosed for performing real-time analytics on a plurality of data streams, the method comprising obtaining a plurality of data streams; accumulating real-time changes of the obtained plurality of data streams in a buffer unit to provide a buffered data portion; monitoring the buffered data portion for determining a calculation event, wherein the calculation event is based on a strategy based on observing given features in the buffered data portion; upon detection of the calculation event, generating an optimization problem indicative of the real-time analytics to be performed on one of given data portions of the plurality of data streams and a data structure generated using given data portions of the plurality of data streams; transforming the generated optimization problem into an optimization problem suitable for an optimization oracle; providing the transformed generated optimization problem to the optimization oracle; obtaining at least one solution from the optimization oracle;

Abstract: The present disclosure provides methods, systems, and media for allowing access to quantum ready and/or quantum enabled computers in a distributed computing environment (e.g., the cloud). Such methods and systems may provide optimization and computational services on the cloud. Methods and systems of the present disclosure may enable quantum computing to be relatively and readily scaled across various types of quantum computers and users at various locations, in some cases without the need for users to have a deep understanding of the resources, implementation or the knowledge that may be required for solving optimization problems using a quantum computer. Systems provided herein may include user interfaces that enable users to perform data analysis in a distributed computing environment while taking advantage of quantum technology in the backend.

Abstract: Described herein are methods, systems, and media for generating a quantum-ready or quantum-enabled software development kit (SDK) for a quantum computing system. Such methods may comprise accepting user input from an application at an application interface, which application is executed on a digital computer, and implementing one or more algorithms, at an algorithms layer, that may be solved heuristically or exactly depending on the requirements of the user input. The one or more algorithms may abstract away a complexity of the application; transforming the one or more algorithms from the application space into the one or more instructions in polynomial unconstrained binary optimization (PUBO) form. The one or more instructions may be executed in PUBO form at the common interface of the solver layer.

Abstract: The present disclosure provides methods, systems, and media for quantum computing, including allowing access to quantum ready and/or quantum enabled computers in a distributed computing environment (e.g., the cloud). Such methods and systems may provide optimization and computational services. Methods and systems of the present disclosure may enable quantum computing to be relatively and readily scaled across various types of quantum computers and users at various locations, in some cases without the need for users to have a deep understanding of the resources, implementation or the knowledge that may be required for solving optimization problems using a quantum computer. Systems provided herein may include user interfaces that enable users to perform data analysis in a distributed computing environment while taking advantage of quantum technology in the backend.

Abstract: The present disclosure provides methods, systems, and media for allowing access to quantum ready and/or quantum enabled computers in a distributed computing environment (e.g., the cloud). Such methods and systems may provide optimization and computational services on the cloud. Methods and systems of the present disclosure may enable quantum computing to be relatively and readily scaled across various types of quantum computers and users at various locations, in some cases without the need for users to have a deep understanding of the resources, implementation or the knowledge that may be required for solving optimization problems using a quantum computer. Systems provided herein may include user interfaces that enable users to perform data analysis in a distributed computing environment while taking advantage of quantum technology in the backend.

Abstract: The present disclosure provides methods, systems, and media for quantum computing, including allowing access to quantum ready and/or quantum enabled computers in a distributed computing environment (e.g., the cloud). Such methods and systems may provide optimization and computational services. Methods and systems of the present disclosure may enable quantum computing to be relatively and readily scaled across various types of quantum computers and users at various locations, in some cases without the need for users to have a deep understanding of the resources, implementation or the knowledge that may be required for solving optimization problems using a quantum computer. Systems provided herein may include user interfaces that enable users to perform data analysis in a distributed computing environment while taking advantage of quantum technology in the backend.

Abstract: The present disclosure provides methods, systems, and media for allowing access to quantum ready and/or quantum enabled computers in a distributed computing environment (e.g., the cloud). Such methods and systems may provide optimization and computational services on the cloud. Methods and systems of the present disclosure may enable quantum computing to be relatively and readily scaled across various types of quantum computers and users at various locations, in some cases without the need for users to have a deep understanding of the resources, implementation or the knowledge that may be required for solving optimization problems using a quantum computer. Systems provided herein may include user interfaces that enable users to perform data analysis in a distributed computing environment while taking advantage of quantum technology in the backend.

Abstract: The present disclosure provides methods, systems, and media for quantum computing, including allowing access to quantum ready and/or quantum enabled computers in a distributed computing environment (e.g., the cloud). Such methods and systems may provide optimization and computational services. Methods and systems of the present disclosure may enable quantum computing to be relatively and readily scaled across various types of quantum computers and users at various locations, in some cases without the need for users to have a deep understanding of the resources, implementation or the knowledge that may be required for solving optimization problems using a quantum computer. Systems provided herein may include user interfaces that enable users to perform data analysis in a distributed computing environment while taking advantage of quantum technology in the backend.

Abstract: The present disclosure provides methods, systems, and media for allowing access to quantum ready and/or quantum enabled computers in a distributed computing environment (e.g., the cloud). Such methods and systems may provide optimization and computational services on the cloud. Methods and systems of the present disclosure may enable quantum computing to be relatively and readily scaled across various types of quantum computers and users at various locations, in some cases without the need for users to have a deep understanding of the resources, implementation or the knowledge that may be required for solving optimization problems using a quantum computer. Systems provided herein may include user interfaces that enable users to perform data analysis in a distributed computing environment while taking advantage of quantum technology in the backend.

Abstract: The present disclosure provides methods, systems, and media for allowing access to quantum ready and/or quantum enabled computers in a distributed computing environment (e.g., the cloud). Such methods and systems may provide optimization and computational services on the cloud. Methods and systems of the present disclosure may enable quantum computing to be relatively and readily scaled across various types of quantum computers and users at various locations, in some cases without the need for users to have a deep understanding of the resources, implementation or the knowledge that may be required for solving optimization problems using a quantum computer. Systems provided herein may include user interfaces that enable users to perform data analysis in a distributed computing environment while taking advantage of quantum technology in the backend.

Abstract: The present disclosure provides methods, systems, and media for allowing access to quantum computers in a distributed computing environment (e.g., the cloud). Such methods and systems may provide optimization and computational services on the cloud. Methods and systems of the present disclosure may enable quantum computing to be relatively and readily scaled across various types of quantum computers and users at various locations, in some cases without the need for users to have a deep understanding of the resources, implementation or the knowledge that may be required for solving optimization problems using a quantum computer. Systems provided herein may include user interfaces that enable users to perform data analysis in a distributed computing environment while taking advantage of quantum technology in the backend.

Abstract: The present disclosure provides methods, systems, and media for allowing access to quantum computers in a distributed computing environment (e.g., the cloud). Such methods and systems may provide optimization and computational services on the cloud. Methods and systems of the present disclosure may enable quantum computing to be relatively and readily scaled across various types of quantum computers and users at various locations, in some cases without the need for users to have a deep understanding of the resources, implementation or the knowledge that may be required for solving optimization problems using a quantum computer. Systems provided herein may include user interfaces that enable users to perform data analysis in a distributed computing environment while taking advantage of quantum technology in the backend.