Systems and methods for using distributed quantum computing simulators
Systems and methods for using distributed quantum-based computing simulators are disclosed. In one embodiment, a method may include: (1) receiving, at a driver node and from a service, a set of operations and a location for each operation compiled from a set of quantum computing instructions provided by a client device; (2) generating, by the driver node, a declarative instantiation plan for the set of operations identifying a plurality of worker nodes, each worker node corresponding to one of the locations; (3) instantiating, by the driver node, the declarative instantiation plan; (4) issuing, by the driver node, the operations to the worker nodes based on the locations for each operation; (5) receiving, by the driver node, results from each worker node; (6) aggregating, by the driver node, the results; and (7) returning, by the driver node, the aggregated results to the client device via the service.
1. A method for executing quantum computing instructions using a distributed quantum-based computing simulator, comprising:
identifying, by a compiling service, a number of qubits in a prefix for the quantum computing instructions received from a client device;
identifying, by the compiling service, a plurality of target qubits in the prefix;
optimizing, by the compiling service, the number of qubits in the prefix and the number of target qubits in the prefix to maximize parallel processing of the quantum computing instructions;
compiling, by the compiling service, the quantum computing instructions into a set of operations, each operation associated with a location, wherein the number of locations is based on the number of qubits in the optimized prefix;
receiving, at a driver node executed by a computer processor and from the compiling service, the set of operations and a worker node for each operation;
generating, by the driver node, a declarative instantiation plan for the set of operations, the declarative instantiation plan identifying each of the worker nodes;
instantiating, by the driver node, the declarative instantiation plan, wherein the instantiation instantiates the worker nodes;
issuing, by the driver node, the operations to the worker node for each operation, wherein the worker nodes execute the operation;
receiving, by the driver node, results from each worker node;
aggregating, by the driver node, the results; and
returning, by the driver node, the aggregated results to the client device via the service.
2. The method of claim 1 , wherein the driver node is executed by a cloud-based computer processor.
3. The method of claim 1 , wherein the set of operations and locations are optimized to maximize parallelism in processing the set of operations.
4. The method of claim 1 , wherein a provisioning service instantiates the declarative instantiation plan.
5. The method of claim 4 , wherein the provisioning service runs a control loop and listens to informer events of instantiation progress and completion.
6. The method of claim 1 , wherein at least one of the worker nodes communicates with another of the worker nodes.
7. The method of claim 1 , wherein two of the plurality of worker nodes pair up to execute an operation.
8. The method of claim 1 , wherein the driver node receives both intermediate and final results from the worker nodes.
9. A system for executing quantum computing instructions using a distributed quantum-based computing simulator, comprising:
a client device providing a set of quantum computing instructions;
a compiling service that identifies a number of qubits in a prefix for the quantum computing instructions, identifies a plurality of target qubits in the prefix, optimizes the number of qubits in the prefix and the number of target qubits in the prefix to maximize parallel processing of the quantum computing instructions, and complies the set of quantum computing instructions into a set of operations, each operation associated with a location, wherein the number of locations is based on the number of qubits in the optimized prefix;
a driver node that receives, from the compiling service, the set of operations and a worker node for each operation and generates a declarative instantiation plan for the set of operations, the declarative instantiation plan identifying each of the worker nodes, instantiates the declarative instantiation plan, wherein the instantiation instantiates the worker nodes, and issues the operations to the worker node for each operation; and
a plurality of worker nodes that execute the issued operations and provide results to the driver node;
wherein the driver node aggregates the results returns the aggregated results to the client device via the compiling service.
10. The system of claim 9 , wherein the driver node is executed by a cloud-based computer processor.
11. The system of claim 9 , wherein the set of operations and locations are optimized to maximize parallelism in processing the set of operations.
12. The system of claim 9 , wherein a provisioning service instantiates the declarative instantiation plan.
13. The system of claim 12 , wherein the provisioning service runs a control loop and listens to informer events of instantiation progress and completion.
14. The system of claim 9 , wherein at least one of the worker nodes communicates with another of the worker nodes.
15. The system of claim 9 , wherein two of the plurality of worker nodes pair up to execute an operation.
16. The system of claim 9 , wherein the driver node receives both intermediate and final results from the worker nodes.