Automation design for achieving long term stable operation of quantum computers
Aspects of the present disclosure relate generally to systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems. To optimize the performance of QIP systems or quantum computers in terms of both fidelity and algorithm uptime or throughput, described are techniques to stabilize continuous and discrete errors from drifting and/or noisy secondary observables to achieve long term stable operation.
1 . A method for stable operation of a quantum computer, comprising:
performing, with a scheduler in the quantum computer, an automation background process;
calling, from the automation background process, a first mode of operation of the quantum computer that executes algorithms, the first mode of operation being based at least in part on stabilization routines for measurable system properties of the quantum computer that are directly observable from single-qubit and two-qubit native gates associated with the algorithms;
calling, from the automation background process, a second mode of operation of the quantum computer that executes self-diagnosis and calibration operations, the second mode of operation being based at least in part on stabilization routines for measurable system properties of the quantum computer that are not directly observable from the single-qubit and the two-qubit native gates associated with the algorithms of the first mode of operation;
implementing a categorization of the measurable system properties of the quantum computer into prerequisite levels, wherein each stabilization routine in the first mode of operation and in the second mode of operation benchmarks and calibrates a measurable system property that is uncoupled from any other stabilization routine in the same prerequisite level;
programming the categorization of the prerequisite levels and the corresponding stabilization routines into the scheduler; and
generating instructions associated with performing the first mode of operation and the second mode of operation based on the categorization of the prerequisite levels and the corresponding stabilization routines.
2 . The method of claim 1 , wherein calling the first mode of operation includes calling a first program to execute the first mode of operation.
3 . The method of claim 1 , wherein calling the second mode of operation includes calling a second program to execute the second mode of operation.
4 . The method of claim 1 , wherein the second mode of operation includes multiple types of the second mode of operation, each of type configured to perform a unique set of self-diagnosis and calibration routines.
5 . The method of claim 1 , wherein the second mode of operation is called based on a periodic schedule.
6 . The method of claim 1 , wherein the second mode of operation is called in response to a failure resulting from a drift in a measurable system property of the quantum computer outside a specified range.
7 . The method of claim 1 , wherein the measurable system properties of the quantum computer associated with the second mode of operation are measurable system properties of the quantum computer that drift outside a range supported by the stabilization routines of the first mode of operation.
8 . The method of claim 1 , wherein each of the first mode of operation and the second mode of operation is a decision tree that includes stabilization routines from one or more of the prerequisite levels.
9 . The method of claim 8 , wherein a stabilization routine from a lower prerequisite level in the categorization depends on one or more stabilization routines from one or more higher prerequisite levels in the categorization.
10 . The method of claim 8 , wherein a stabilization routine from a prerequisite level in the categorization cannot depend on a stabilization routine from a lower prerequisite level in the categorization.
11 . The method of claim 8 , wherein a stabilization routine in a prerequisite level associated with the first mode of operation is configured to stabilize measurable system properties of the quantum computer that are directly observable from single-qubit and two-qubit native gates associated with the algorithms of the first mode of operation, and a stabilization routine in a higher prerequisite level associated with the first mode of operation is configured to enquire and stabilize measurable system properties of the quantum computer that are not directly observable from the single-qubit and the two-qubit native gates associated with the algorithms of the first mode of operation.
12 . A quantum computer, comprising:
an ion trap configured to hold multiple ions for implementing single-qubit gates and multi-qubit gates; and
an automation and calibration controller configured to implement or include a scheduler;
wherein the scheduler is configured to:
perform an automation background process;
call, from the automation background process, a first mode of operation of the quantum computer that executes algorithms, the first mode of operation being based at least in part on stabilization routines for measurable system properties of the quantum computer that are directly observable from single-qubit and two-qubit native gates associated with the algorithms;
call, from the automation background process, a second mode of operation of the quantum computer that executes self-diagnosis and calibration operations, the second mode of operation being based at least in part on stabilization routines for measurable system properties of the quantum computer that are not directly observable from the single-qubit and the two-qubit native gates associated with the algorithms of the first mode of operation;
implement a categorization of the measurable system properties of the quantum computer into prerequisite levels, wherein each stabilization routine in the first mode of operation and in the second mode of operation benchmarks and calibrates a measurable system property that is uncoupled from any other stabilization routine in the same prerequisite level,
store the categorization of the prerequisite levels and the corresponding stabilization routines, and
generate the instructions associated with performing the first mode of operation and the second mode of operation based on the categorization of the prerequisite levels and the corresponding stabilization routines.
13 . The quantum computer of claim 12 , wherein:
the scheduler configured to call the first mode of operation is further configured to call a first program to execute the first mode of operation, and
the scheduler configured to call the second mode of operation is further configured to call a second program to execute the second mode of operation.
14 . The quantum computer of claim 12 , wherein the second mode of operation includes multiple types of the second mode of operation, each of type configured to perform a unique set of self-diagnosis and calibration routines.
15 . The quantum computer of claim 12 , wherein the scheduler configured to call the second mode of operation is further configured to call the second mode of operation based on a periodic schedule.
16 . The quantum computer of claim 12 , wherein the measurable system properties of the quantum computer associated with the second mode of operation are measurable system properties of the quantum computer that drift outside a range supported by the stabilization routines of the first mode of operation.
17 . The quantum computer of claim 12 , wherein each of the first mode of operation and the second mode of operation is a decision tree that includes stabilization routines from one or more of the prerequisite levels.
18 . The quantum computer of claim 17 , wherein a stabilization routine from a lower prerequisite level in the categorization depends on one or more stabilization routines from one or more higher prerequisite levels in the categorization.