One example method includes dynamically selecting a quantum processing unit. During execution of a hybrid application, a quantum execution bundle is processed to identify characteristics that are used to select an optimal quantum processing unit. For each iteration, the optimal quantum processing unit can be dynamically selected and inserted into the execution.

One example method includes dynamically selecting a quantum processing unit. During execution of a hybrid application, a quantum execution bundle is processed to identify characteristics that are used to select an optimal quantum processing unit. For each iteration, the optimal quantum processing unit can be dynamically selected and inserted into the execution.

A robotic fleet management platform includes a resources data store maintaining a fleet resource inventory indicating fleet resources that can be assigned to a robotic fleet. For each respective fleet resource, the fleet resource inventory indicates maintenance status data, a predicted maintenance need, and/or a preventive maintenance schedule. A maintenance management library of fleet resource maintenance requirements facilitates determining maintenance workflows, service actions, and/or service parts for fleet resources. The platform calculates the predicted maintenance need of a fleet resource based anticipated component wear. The anticipated wear/failure is derived from machine learning-based analysis of the maintenance status data. The platform monitors a health state of the fleet resource from sensor data. The platform adapts the preventive maintenance schedule. The platform initiates a service action of the at least one item of maintenance for the fleet resource based on the fleet resource maintenance requirements and/or the new preventive maintenance schedule.

A robotic fleet management platform includes a resources data store maintaining a fleet resource inventory indicating fleet resources that can be assigned to a robotic fleet. For each respective fleet resource, the fleet resource inventory indicates maintenance status data, a predicted maintenance need, and/or a preventive maintenance schedule. A maintenance management library of fleet resource maintenance requirements facilitates determining maintenance workflows, service actions, and/or service parts for fleet resources. The platform calculates the predicted maintenance need of a fleet resource based anticipated component wear. The anticipated wear/failure is derived from machine learning-based analysis of the maintenance status data. The platform monitors a health state of the fleet resource from sensor data. The platform adapts the preventive maintenance schedule. The platform initiates a service action of the at least one item of maintenance for the fleet resource based on the fleet resource maintenance requirements and/or the new preventive maintenance schedule.

Methods, systems and apparatus for determining operating parameters for a quantum processor including multiple interacting qubits. In one aspect, a method includes generating a graph of nodes and edges, wherein each node represents a respective qubit and is associated with an operating parameter of the respective qubit, and wherein each edge represents a respective interaction between two qubits and is associated with an operating parameter of the respective interaction; selecting an algorithm that traverses the graph based on a traversal rule; identifying one or multiple disjoint subsets of nodes or one or multiple disjoint subsets of edges, wherein nodes in a subset of nodes and edges in a subset of edges are related via the traversal rule; and determining calibrated values for the nodes or edges in each subset using a stepwise constrained optimization process where constraints are determined using previously calibrated operating parameters.

Methods, systems and apparatus for determining operating parameters for a quantum processor including multiple interacting qubits. In one aspect, a method includes generating a graph of nodes and edges, wherein each node represents a respective qubit and is associated with an operating parameter of the respective qubit, and wherein each edge represents a respective interaction between two qubits and is associated with an operating parameter of the respective interaction; selecting an algorithm that traverses the graph based on a traversal rule; identifying one or multiple disjoint subsets of nodes or one or multiple disjoint subsets of edges, wherein nodes in a subset of nodes and edges in a subset of edges are related via the traversal rule; and determining calibrated values for the nodes or edges in each subset using a stepwise constrained optimization process where constraints are determined using previously calibrated operating parameters.

Methods, systems, and apparatus for solving computational tasks using quantum computing resources. In one aspect a method includes receiving, at a quantum formulation solver, data representing a computational task to be performed; deriving, by the quantum formulation solver, a formulation of the data representing the computational task that is formulated for a selected type of quantum computing resource; routing, by the quantum formulation solver, the formulation of the data representing the computational task to a quantum computing resource of the selected type to obtain data representing a solution to the computational task; generating, at the quantum formulation solver, output data including data representing a solution to the computational task; and receiving, at a broker, the output data and generating one or more actions to be taken based on the output data.

The method can perform a quantum computation including, in sequence, initializing a plurality of qubits of a quantum processor, applying a sequence of quantum logic gates onto the qubits in accordance with a parameterized quantum circuit which is based on a problem Hamiltonian Ĥ.sub.problem and at least one additional Hamiltonian Ĥk which does not commute with Ĥ.sub.problem, and measuring the expectation value of Ĥ.sub.problem in the final state of the qubits.

The method can perform a quantum computation including, in sequence, initializing a plurality of qubits of a quantum processor, applying a sequence of quantum logic gates onto the qubits in accordance with a parameterized quantum circuit which is based on a problem Hamiltonian Ĥ.sub.problem and at least one additional Hamiltonian Ĥk which does not commute with Ĥ.sub.problem, and measuring the expectation value of Ĥ.sub.problem in the final state of the qubits.

A quantum entanglement communication service can be provided by detecting a request to access data stored at a first computer. In response to detecting the data access request, a request can be generated to request that a server computer generate an entangled particle pair. Measurement data can be received, the measurement data corresponding to a measurement observed after interacting a first bit of a token stored at a second computer with a first entangled particle from the entangled particle pair. An operation to perform on a second entangled particle of the entangled particle pair at the first computer can be determined and performed. A state of the second entangled particle can be measured to obtain a value, and a bit string can be generated, where the bit string can include a number that corresponds to the value.