Abstract: A technique is described herein for assisting a user in exploring the operation of a quantum computer program. It involves first receiving qubit state information from a quantum system emulator which executes a quantum computer program. The qubit state information describes one or more states of one or more respective qubits at a specified analysis point in the quantum computer program. The technique then generates a three-dimensional graphical depiction that provides a visualization of the qubit state information. The three-dimensional graphical depiction includes at least one graphical control element that allows a user to interact with the three-dimensional graphical depiction. The technique then displays the three-dimensional graphical depiction on a display device. In one implementation, the display device is provided by a head mounted display associated with a mixed reality system.

Abstract: A technique is described herein for assisting a user in exploring the operation of a quantum computer program. It involves first receiving qubit state information from a quantum system emulator which executes a quantum computer program. The qubit state information describes one or more states of one or more respective qubits at a specified analysis point in the quantum computer program. The technique then generates a three-dimensional graphical depiction that provides a visualization of the qubit state information. The three-dimensional graphical depiction includes at least one graphical control element that allows a user to interact with the three-dimensional graphical depiction. The technique then displays the three-dimensional graphical depiction on a display device. In one implementation, the display device is provided by a head mounted display associated with a mixed reality system.

Abstract: Non-limiting examples of the present disclosure describe pattern recognition determined based on evaluation of contexts associated with a user history of a user. Input may be received from a processing device of a user. A plurality of contexts associated with user history data of the user history may be evaluated. In examples, the evaluating comprises: generating, for each of the plurality of contexts, a score based on: at least one time period of the user history that is associated with a searching of a context and a frequency of searching for the context within the at least one time period. The evaluating may further comprise ranking the plurality of contexts based on the score corresponding with each of the plurality of contexts. One or more contextual suggestions may be generated and output for the received input based on the ranked plurality of contexts.