Automated process for discovering optimal programs and circuits in new computing platforms

A system for discovering optimal algorithms, the system comprising:

• a storage device that stores program instructions;
• and
• one or more processors operably connected to the storage device and configured to execute the program instructions to cause the system to:
• define a starting condition for a program;
• define a number of program targets, wherein the program targets map program user-specified inputs to expected outputs;
• define a number of program objectives;
• define a number of program constraints;
• initialize an iterative optimization problem to solve for the program;
• determine if defined termination conditions have been met according to the program targets and optimization objectives;
• responsive to the defined termination conditions not being met:
• select an update to the program by addition or subtraction of operations;
• evaluate the program according to the program targets;
• compare recorded program outputs to the expected outputs;
• calculate the program objectives as a function of a difference between the recorded outputs and the expected outputs;
• determine a corresponding program change as a function of the program objectives;
• and
• re-iterate the optimization problem;
• and
• responsive to the defined termination conditions being met, reassemble the program into an instruction set.

A computer program product for discovering optimal algorithms, the computer program product comprising:

• a computer-readable storage medium having program instructions embodied thereon to perform steps of:
• defining a starting condition for a program;
• defining a number of program targets, wherein the program targets map program user-specified inputs to expected outputs;
• defining a number of program objectives;
• defining a number of program constraints;
• initializing an iterative optimization problem to solve for the program;
• determining if defined termination conditions have been met according to the program targets and optimization objectives;
• responsive to the defined termination conditions not being met:
• selecting an update to the program by addition or subtraction of operations;
• evaluating the program according to the program targets;
• comparing recorded program outputs to the expected outputs;
• calculating the program objectives as a function of a difference between the recorded outputs and the expected outputs;
• determining a corresponding program change as a function of the program objectives;
• and
• re-iterating the optimization problem;
• and
• responsive to the defined termination conditions being met, reassembling the program into an instruction set.

A computer-implemented method for discovering optimal quantum computing algorithms, the method comprising:

• defining a starting condition for a program;
• defining a number of program targets, wherein the program targets map program user-specified inputs to expected outputs;
• defining a number of program objectives;
• defining a number of program constraints;
• initializing an iterative optimization problem to solve for the program;
• determining if defined termination conditions have been met according to the program targets and optimization objectives;
• responsive to the defined termination conditions not being met:
• selecting an update to the program by addition or subtraction of operations;
• evaluating the program according to the program targets;
• comparing recorded program outputs to the expected outputs;
• calculating the program objectives as a function of a difference between the recorded outputs and the expected outputs;
• determining a corresponding program change as a function of the program objectives;
• and
• re-iterating the optimization problem;
• and
• responsive to the defined termination conditions being met, reassembling the program into a quantum instruction set.

A system for discovering optimal quantum computing algorithms, the system comprising:

• a storage device that stores program instructions;
• and
• one or more quantum processors operably connected to the storage device and configured to execute the program instructions to cause the system to:
• define a starting condition for a program;
• define a number of program targets, wherein the program targets map program user-specified inputs to expected outputs;
• define a number of program objectives;
• define a number of program constraints;
• initialize an iterative optimization problem to solve for the program;
• determine if defined termination conditions have been met according to the program targets and optimization objectives;
• responsive to the defined termination conditions not being met:
• select an update to the program by addition or subtraction of operations;
• evaluate the program according to the program targets;
• compare recorded program outputs to the expected outputs;
• calculate the program objectives as a function of a difference between the recorded outputs and the expected outputs;
• determine a corresponding program change as a function of the program objectives;
• and
• re-iterate the optimization problem;
• and
• responsive to the defined termination conditions being met, reassemble the program into a quantum instruction set.

A computer-implemented method for discovering optimal algorithms, the method comprising:

• defining a number of program targets for a program, wherein the program targets map program user-specified inputs to expected outputs;
• defining a number of program objectives;
• defining a number of program constraints;
• initializing an iterative optimization problem to solve for the program;
• determining if defined termination conditions have been met according to the program targets and optimization objectives;
• responsive to the defined termination conditions not being met:
• selecting an update to the program by addition or subtraction of operations;
• evaluating the program according to the program targets;
• evaluating the number of program objectives;
• and
• re-iterating the optimization problem;
• and
• responsive to the defined termination conditions being met, reassembling the program into an instruction set,
• wherein the evaluating the number of program objectives comprises:
• comparing recorded outputs generated by the program to the expected outputs;
• calculating the number of program objectives as a function of a difference between the recorded outputs and the expected outputs;
• and
• determining a corresponding program change as a function of the number of program objectives.

A system for discovering optimal algorithms, the system comprising:

• a storage device that stores program instructions;
• and
• one or more processors operably connected to the storage device and configured to execute the program instructions to cause the system to:
• define a starting condition for a program;
• define a number of program targets, wherein the program targets map program user-specified inputs to expected outputs;
• define a number of program objectives;
• define a number of program constraints;
• initialize an iterative optimization problem to solve for the program;
• determine if defined termination conditions have been met according to the program targets and optimization objectives;
• responsive to the defined termination conditions not being met:
• select an update to the program by addition or subtraction of operations;
• evaluate the program according to the program targets;
• evaluate the number of program objectives;
• and
• re-iterate the optimization problem;
• and
• responsive to the defined termination conditions being met, reassemble the program into an instruction set,
• wherein the evaluating the number of program objectives comprises:
• comparing recorded outputs generated by the program to the expected outputs;
• calculating the number of program objectives as a function of a difference between the recorded outputs and the expected outputs;
• and
• determining a corresponding program change as a function of the number of program objectives.

A computer program product for discovering optimal algorithms, the computer program product comprising:

• a computer-readable storage medium having program instructions embodied thereon to perform steps of:
• defining a starting condition for a program;
• defining a number of program targets, wherein the program targets map program user-specified inputs to expected outputs;
• defining a number of program objectives;
• defining a number of program constraints;
• initializing an iterative optimization problem to solve for the program;
• determining if defined termination conditions have been met according to the program targets and optimization objectives;
• responsive to the defined termination conditions not being met:
• selecting an update to the program by addition or subtraction of operations;
• evaluating the program according to the program targets;
• evaluating the number of program objectives;
• and
• re-iterating the optimization problem;
• and
• responsive to the defined termination conditions being met, reassembling the program into an instruction set,
• wherein the evaluating the number of program objectives comprises:
• comparing recorded outputs generated by the program to the expected outputs;
• calculating the number of program objectives as a function of a difference between the recorded outputs and the expected outputs;
• and
• determining a corresponding program change as a function of the number of program objectives.