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: A method for estimating a thermodynamic property of a quantum Ising model with transverse field is disclosed.

Abstract: A method and a system are disclosed for determining a hierarchical clustering for a group comprising a plurality of items.

Abstract: A method and system are disclosed for setting parameters of a discrete optimization problem embedded to an optimization solver and solving it.

Abstract: A method and a system are disclosed for displaying data representative of a large dataset. The method comprises the use of a processing device for receiving the dataset comprising a plurality of data points of dimension m; reducing the dimension m of at least one data point of the plurality of data points to a dimension selected from a group consisting of two (2) and three (3) if the dimension of the at least one data point is greater than or equal to three (3); generating at least one data cluster, each data cluster comprising a given number of data points; determining a set of representative data points for each generated at least one data cluster, each representative data point of a given set for representing a region of a corresponding given data cluster comprising a plurality of adjacent data points and displaying in a user interface the determined at least one set of representative data points of the at least one corresponding generated data cluster.

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: A method and system are provided for optimizing asset allocation in a cognitive radio configuration, the method comprising obtaining, in a digital computer, an indication of the cognitive radio configuration; converting the indication of the cognitive radio configuration into a degree 2 polynomial; providing the degree 2 polynomial to a quadratic programming machine; solving the degree 2 polynomial using the quadratic programming machine to generate binary solutions; the digital computer receiving the generated binary solutions and generating an asset allocation for the cognitive radio configuration and providing the generated asset allocation for the cognitive radio configuration.

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.