Abstract: Cloud networks can be dynamically deployed for edge computing environments. For example, a control plane of a computing environment can detect a set of device identifiers and a set of priority levels for data transmitted by a set of edge devices in the computing environment. Each device identifier can correspond to an edge device in the set of edge devices. A network deployment service of the control plane can determine a network weight for the set of edge devices based on a set of device identifiers and the set of priority levels. The network deployment service can determine an adjustment to a virtual gateway based on the network weight. The virtual gateway can transmit data from the set of edge devices to a compute node in the computing environment. The network deployment service can execute the adjustment to the virtual gateway.

Abstract: Systems and methods are provided. An example method can include obtaining, by a quantum computing system comprising one or more quantum computing devices, first data indicative of a first risk of quantum error associated with a first quantum process and second data indicative of a second risk of quantum error associated with the first quantum process. The example method can further include routing, by the quantum computing system based at least in part on the first data, a first portion of the first quantum process to first quantum hardware implementing a first plurality of qubits in a first quantum code space. The example method can further include routing, by the quantum computing system based at least in part on the second data, a second portion of the first quantum process to second quantum hardware implementing a second plurality of lower-fidelity qubits outside of the first quantum code space.

Abstract: Qubit predictability services for a quantum computing system are disclosed. In one example, a processor device of a computing system receives qubit utilization data that encodes a utilization history for each qubit in a set of qubits of a QCS. The processor device further performs one or more hypothesis tests for each qubit of the set of qubits based on the utilization history for the qubit and a set of quantum algorithms. The processor device further generates one or more predictability scores for each qubit of the set of qubits based on the one or more hypothesis tests for the set of qubits. The processor device further provides an indication of the one or more predictability scores for each qubit of the set of qubits to the QCS.

Abstract: A service executing on a first quantum computing system (QCS) receives an indication that a process executing on the first QCS desires to communicate with a second QCS. The service accesses QCS type information that identifies the second QCS as a first QCS type of a plurality of different QCS types. The service initiates a first external QCS agent on the first QCS that is operable to communicate with the second QCS based on a first QCS configuration of a plurality of QCS configurations, the first QCS configuration corresponding to the first QCS type.

Abstract: A quantum computing device (QD) receives a request to access data, wherein a set of qubits encodes the data in a quantum-mechanical (QM) encoding and the set of qubits has a first cardinality. In response to receiving the request to access the data, a classical encoding of the data is generated, at the QD, via a set of bits based on a superdense coding protocol, wherein the set of bits has a second cardinality that is greater than the first cardinality. The classical encoding of the data is transmitted, by the QD, via the set of bits.

Abstract: A quantum source code file is received. One or more portions of the quantum source code file to be decomposed into at least one quantum code snippet are identified. The one or more portions of the quantum source code file are validated as independently compilable. The at least one quantum code snippet is generated.

Abstract: A quantum computing device obtains, from a first quantum instruction file (QIF) corresponding to a first quantum process, an amount of qubits required by the first quantum process. The quantum computing device creates a first namespace within a qubit registry comprising a plurality of qubit registry entries each corresponding to a qubit of a plurality of qubits, the first namespace referring to a first subset of qubits of the plurality of qubits, the first subset of qubits comprising at least the amount of qubits required by the first quantum process. The quantum computing device inserts an identifier for the first namespace into the first QIF. The quantum computing device causes the qubit registry to provide the first quantum process with access to the first namespace when the first QIF is executed.

Abstract: A method includes receiving, from a first container of a plurality of virtualized computing entities, a request to diagnose a first network connectivity malfunction associated with the first container. The method further includes identifying a first package of the plurality of packages based on data associated with the first container satisfying at least one criterion of the plurality of criteria.

Abstract: Offline debugging of quantum services using service definition layers is disclosed herein. In one example, a processor device of a classical computing device generates a plurality of service definition layers based on a quantum service definition file, wherein each service definition layer corresponds to a respective one or more instructions of the quantum service definition file and comprises the one or more instructions and any preceding instructions. The processor device next instantiates a plurality of quantum simulator instances, each of which corresponds to one of the service definition layers. The processor device then executes the plurality of service definition layers using the corresponding plurality of quantum simulator instances.

Abstract: Optimizing route modification using a quantum generated route repository is provided herein. In particular, a classical computing system determines an initial route optimization request comprising at least one initial constraint. The at least one initial constraint includes a starting location and an ending location for a desired route. The classical computing system determines a plurality of initial optimized routes from a plurality of routes based on the at least one initial constraint. The plurality of routes are generated by a quantum computing system. The classical computing system determines a modified route optimization request. The modified route optimization request includes at least one modified constraint. The classical computing system determines a plurality of modified optimized routes from the plurality of routes based on the at least one modified constraint. The plurality of routes are previously generated by the quantum computing system.

Abstract: A quantum computing device determines quantum characteristics of a quantum computing system, wherein the quantum characteristics comprise properties of qubits of the quantum computing system. The quantum computing device stores in a time series database information containing the quantum characteristics of the quantum computing system. The quantum computing device categorizes the information in the time series database to generate categorized information, wherein the categorized information is associated with the one or more qubits.

Abstract: A computing system obtains a set of instructions configured to execute on a classical computing system. The set of instructions are evaluated to identify a cryptographic algorithm having a cryptographic algorithm type implemented by the set of instructions. Based on the cryptographic algorithm type, a candidate quantum algorithm comprising quantum instructions operable to attempt to breach the cryptographic algorithm is selected from a plurality of quantum algorithms. The set of instructions are translated into cryptographic quantum instructions that implement the cryptographic algorithm. Based on the cryptographic quantum instructions and the quantum instructions, a quantum instruction file is generated that, when executed, attempts to breach the cryptographic algorithm.

Abstract: A quantum system can obtain a quantum instruction set. The quantum system can classify a quantum algorithm type of the quantum instruction set. The quantum system can evaluate an optimization factor of the quantum instruction set based on the quantum algorithm type. The quantum system can rank a plurality of candidate quantum computing systems based on the optimization factor and metadata associated with the plurality of candidate quantum computing systems. The metadata can be descriptive of performance characteristics of the plurality of candidate quantum computing systems respective to the optimization factor. The quantum system can schedule the quantum instruction set on a selected quantum computing system of the plurality of candidate quantum computing systems based on ranking the plurality of candidate quantum computing systems.

Abstract: A Quantum Instruction (QI) file comprising a proposed serverless quantum function for a particular quantum computing environment is obtained. Quantum serverless scoring information descriptive of a plurality of quantum scoring criteria for serverless quantum functions executed within the particular quantum computing environment is accessed. Based on the plurality of quantum scoring criteria, a suitability score for the proposed serverless quantum function is computed, wherein the suitability score is specific to the particular quantum computing environment. Based on the suitability score, an execution action is performed for the proposed serverless quantum function.

Abstract: Distributed quantum file consolidation is disclosed. A controlling quantum computing system (QCS) determines to consolidate a quantum file that includes a plurality of qubits implemented on a plurality of quantum computing systems (QCSs) onto a target QCS, the plurality of qubits including at least a first qubit implemented on a first QCS of the plurality of QCSs. The controlling QCS causes a transfer of quantum information contained in each qubit of the plurality of qubits that is not currently implemented on the target QCS to a corresponding qubit on the target QCS. Quantum file update information that indicates the qubits that compose the quantum file are located on the target QCS is communicated to at least the first QCS.

Abstract: A quantum isolation zone (QIZ) controller executing on a quantum computing system receives, from a first requestor, a request to allocate a group of qubits from a plurality of available qubits that are implemented by the quantum computing system and to establish a QIZ that limits qubit visibility of any quantum process associated with the QIZ to the qubits in the group of qubits. The QIZ controller selects the group of qubits from the plurality of available qubits. The QIZ controller obtains a unique QIZ identifier (QIZID) that uniquely identifies the QIZ. The QIZ controller modifies qubit metadata of the group of qubits to indicate that each qubit in the group of qubits is associated with the QIZ.

Abstract: Aspects of the present disclosure relate to dynamic workload migration in a decentralized hierarchical control plane for management in edge devices and hybrid cloud environments. More specifically, a processing device obtains an indication of a workload associated with a decentralized hierarchical control plane, where the decentralized hierarchical control plane includes a plurality of control nodes in a decentralized hierarchy. The processing device determines, based on data associated with the decentralized hierarchy, a target for migration of the workload. The processing device causes the workload to be migrated to the target.

Abstract: Systems and methods are provided. An example method can include obtaining, by a quantum computing system comprising one or more quantum computing devices, first data indicative of a first risk of quantum error associated with a first quantum process and second data indicative of a second risk of quantum error associated with the first quantum process. The example method can further include routing, by the quantum computing system based at least in part on the first data, a first portion of the first quantum process to first quantum hardware implementing a first plurality of qubits in a first quantum code space. The example method can further include routing, by the quantum computing system based at least in part on the second data, a second portion of the first quantum process to second quantum hardware implementing a second plurality of lower-fidelity qubits outside of the first quantum code space.

Abstract: Examples relating to configuration of quantum computing devices using state maps are provided. In one example, data associated with one or more quantum service runs executed by a quantum computing device is obtained. A current state map for the quantum computing device is generated based at least in part on the data associated with the one or more quantum service runs. A simulated state map is generated based at least in part by performing a simulated execution of the one or more quantum service runs. A difference between the current state map and the simulated state map is determined. One or more configuration settings for the quantum computing device are determined based at least in part on the difference between the current state map and the simulated state map.

Abstract: A computing system receives a request to execute a quantum workload. The computing system is in communication with a plurality of quantum computing systems (QCSs) operable to initiate the quantum workload upon request, and in communication with a plurality of classical computing systems operable to initiate a quantum simulation of the quantum workload. Based at least in part on information associated with the request, a determination is made to cause initiation of the quantum workload on a particular QCS or in a quantum simulator on a classical computing system. Based on the determination, the quantum workload is caused to be initiated on the particular QCS of the plurality of QCSs, or a quantum simulator is caused to be initiated on the classical computing system of the plurality of classical computing systems, and the quantum workload is caused to be initiated in the quantum simulator.