Quantum compute estimator and intelligent infrastructure
One example method includes evaluating code of a quantum circuit, estimating one or more runtime statistics concerning the code, generating a recommendation based on the one or more runtime statistics, and the recommendation identifies one or more resources recommended to be used to execute the quantum circuit, checking availability of the resources for executing the quantum circuit, allocating resources, when available, sufficient to execute the quantum circuit, and using the allocated resources to execute the quantum circuit.
1. A method, comprising:
evaluating code of a quantum circuit;
estimating one or more runtime statistics concerning the code of the quantum circuit;
generating a recommendation based on the one or more estimated runtime statistics, wherein the one or more estimated runtime statistics comprise an amount of time needed to execute the quantum circuit, and/or an amount of memory space needed to execute the quantum circuit and the recommendation identifies one or more resources recommended to be used to execute the quantum circuit;
checking availability of the resources for executing the quantum circuit;
based on the estimated runtime statistics, allocating resources, when available, sufficient to execute the quantum circuit; and
using the allocated resources to execute the quantum circuit.
2. The method as recited in claim 1 , wherein the recommendation that is generated indicate that execution of the quantum circuit should be split between one or more quantum processing units and a quantum simulation process.
3. The method as recited in claim 1 , wherein evaluating the code comprises scanning the code in a bottom-up manner to determine a time cost of each instruction of the code.
4. The method as recited in claim 1 , wherein evaluating the code comprises using a machine learning model to determine a time cost of each instruction of the code.
5. The method as recited in claim 1 , wherein the recommendation specifies either that: one or more quantum processing units are recommended for executing the quantum circuit; or, a quantum computing simulation is recommended for executing the quantum circuit.
6. The method as recited in claim 1 , wherein when inadequate resources are available to execute the quantum circuit, the quantum circuit is removed from a queue.
7. The method as recited in claim 1 , wherein the quantum circuit is executed as part of a containerized service that is being provided to a user.
8. The method as recited in claim 1 , wherein execution of the quantum circuit is performed at a cloud computing site.
9. The method as recited in claim 1 , wherein execution of the quantum circuit is performed by a quantum computing cluster.
10. The method as recited in claim 1 , wherein execution of the quantum circuit is performed by one or more quantum processing units.
11. A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising:
evaluating code of a quantum circuit;
estimating one or more runtime statistics concerning the code of the quantum circuit;
generating a recommendation based on the one or more estimated runtime statistics, wherein the one or more estimated runtime statistics comprise an amount of time needed to execute the quantum circuit, and/or an amount of memory space needed to execute the quantum circuit and the recommendation identifies one or more resources recommended to be used to execute the quantum circuit;
checking availability of the resources for executing the quantum circuit;
based on the estimated runtime statistics, allocating resources, when available, sufficient to execute the quantum circuit; and
using the allocated resources to execute the quantum circuit.
12. The non-transitory storage medium as recited in claim 11 , wherein the recommendation that is generated indicates that execution of the quantum circuit should be split between one or more quantum processing units and a quantum simulation process.
13. The non-transitory storage medium as recited in claim 11 , wherein evaluating the code comprises scanning the code in a bottom-up manner to determine a time cost of each instruction of the code.
14. The non-transitory storage medium as recited in claim 11 , wherein evaluating the code comprises using a machine learning model to determine a time cost of each instruction of the code.
15. The non-transitory storage medium as recited in claim 11 , wherein the recommendation specifies either that: one or more quantum processing units are recommended for executing the quantum circuit; or, a quantum computing simulation is recommended for executing the quantum circuit.
16. The non-transitory storage medium as recited in claim 11 , wherein when inadequate resources are available to execute the quantum circuit, the quantum circuit is removed from a queue.
17. The non-transitory storage medium as recited in claim 11 , wherein the quantum circuit is executed as part of a containerized service that is being provided to a user.
18. The non-transitory storage medium as recited in claim 11 , wherein execution of the quantum circuit is performed at a cloud computing site.
19. The non-transitory storage medium as recited in claim 11 , wherein execution of the quantum circuit is performed by a quantum computing cluster.
20. The non-transitory storage medium as recited in claim 11 , wherein execution of the quantum circuit is performed by one or more quantum processing units.