Abstract: The disclosed techniques relate to validating and optimizing a quantum computing simulator. A quantum computing simulator executes a quantum executable file to obtain a first result. A second result is received from a quantum computer which also computes the quantum executable file. The hardware metadata associated with the quantum computer, and defining hardware conditions during a time in which the quantum executable file was executed to create the second result, is also received. In response to determining a difference between the first result and the second result, updated hardware metadata is created based on the received hardware metadata associated with the quantum computer. The quantum computing simulator performs a second execution of the quantum executable file based at least in part on the updated hardware metadata to obtain a third result.

Abstract: Aspects of the disclosure provide for mechanisms for providing optimization recommends for quantum computing. A method of the disclosure includes: receiving a first file including a first plurality of quantum instructions for implementing an algorithm; receiving hardware information of a plurality of quantum computer systems, wherein the hardware information comprises information about hardware capacities of the quantum computer systems; and generating, by a processing device, one or more optimization recommendations for implementing the algorithm in view of the first plurality of instructions and the hardware information. In some embodiments, the one or more optimization recommendations include an estimated qubit size required to implement the algorithm in at least one of the plurality of quantum computer systems.

Abstract: Aspects of the disclosure provide for mechanisms for networking optimization using quantum computing. A method of the disclosure includes: receiving profile information of software defined network, wherein the profile information comprises information about a current configuration of the software defined network; generating, in view of the profile information, an optimization algorithm for optimizing the software defined network; and generating, by a processing device, a plurality of quantum instructions for implementing the optimization algorithm.

Abstract: A quantum payload service for facilitating communications between a quantum computing system and classical computing systems is provided. A payload service in a quantum computing system that offers a plurality of different quantum services receives a message from a classical computing system that is destined for a first quantum service. The message includes a header and a payload. The payload service determines, from the header, an originator address and a destination quantum service identifier that identifies the first quantum service. The payload service extracts, from the message, the payload, and sends the payload, the originator address and the destination quantum service identifier to a quantum channel router of the quantum computing system for delivery of the payload to the first quantum service.

Abstract: Aspects of the disclosure provide for mechanisms for scheduling execution of quantum algorithm. A method of the disclosure includes: receiving a request to execute a quantum algorithm at a quantum computer system, determining whether the one or more execution environment requirements from the request are satisfied in view of the state of the quantum computer system, responsive to determining that the one or more execution environment requirements are not satisfied in view of the state of the quantum computer system, causing an execution of the quantum algorithm to be delayed until the one or more execution environment requirements are satisfied, and responsive to determining that the one or more execution environment requirements are satisfied in view of the state of the quantum computer system, forwarding the request to execute the quantum algorithm to the quantum computer system to cause the execution of the quantum algorithm.

Abstract: Aspects of the disclosure provide for mechanisms for scheduling execution of quantum algorithm. A method of the disclosure includes: receiving a request to execute a quantum algorithm at a quantum computer system, determining whether the one or more execution environment requirements from the request are satisfied in view of the state of the quantum computer system, responsive to determining that the one or more execution environment requirements are not satisfied in view of the state of the quantum computer system, causing an execution of the quantum algorithm to he delayed until the one or more execution environment requirements are satisfied, and responsive to determining that the one or more execution environment requirements are satisfied in view of the state of the quantum computer system, forwarding the request to execute the quantum algorithm to the quantum computer system to cause the execution of the quantum algorithm.

Abstract: A quantum payload service for facilitating communications between a quantum computing system and classical computing systems is provided. A payload service in a quantum computing system that offers a plurality of different quantum services receives a message from a classical computing system that is destined for a first quantum service. The message includes a header and a payload. The payload service determines, from the header, an originator address and a destination quantum service identifier that identifies the first quantum service. The payload service extracts, from the message, the payload, and sends the payload, the originator address and the destination quantum service identifier to a quantum channel router of the quantum computing system for delivery of the payload to the first quantum service.

Abstract: Aspects of the disclosure provide for mechanisms for networking optimization using quantum computing. A method of the disclosure includes: receiving profile information of software defined network, wherein the profile information comprises information about a current configuration of the software defined network; generating, in view of the profile information, an optimization algorithm for optimizing the software defined network; and generating, by a processing device, a plurality of quantum instructions for implementing the optimization algorithm.

Abstract: The disclosed techniques relate to validating and optimizing a quantum computing simulator. A quantum computing simulator executes a quantum executable file to obtain a first result. A second result is received from a quantum computer which also computes the quantum executable file. The hardware metadata associated with the quantum computer, and defining hardware conditions during a time in which the quantum executable file was executed to create the second result, is also received. In response to determining a difference between the first result and the second result, updated hardware metadata is created based on the received hardware metadata associated with the quantum computer. The quantum computing simulator performs a second execution of the quantum executable file based at least in part on the updated hardware metadata to obtain a third result.

Abstract: Aspects of the disclosure provide for mechanisms for providing optimization recommends for quantum computing. A method of the disclosure includes: receiving a first file including a first plurality of quantum instructions for implementing an algorithm; receiving hardware information of a plurality of quantum computer systems, wherein the hardware information comprises information about hardware capacities of the quantum computer systems; and generating, by a processing device, one or more optimization recommendations for implementing the algorithm in view of the first plurality of instructions and the hardware information. In some embodiments, the one or more optimization recommendations include an estimated qubit size required to implement the algorithm in at least one of the plurality of quantum computer systems.