Abstract: Techniques to address the problem of having micromotion and stray fields affect trapped ions and the operation of QIP systems based on trapped ions are described. For example, one technique or approach may involve collecting scattered photons off the ions using a resonant or near-resonant oscillating electric field (e.g., a laser beam or a microwave source) with some projection in the axis or direction of micromotion that one wishes to reduce. Another technique or approach may include raising and lowering the trapping potentials to see how the ion position changes. The information collected from these techniques may be used to provide appropriate adjustments. Accordingly, the present disclosure describes methods, scripts, or techniques that minimize the effects of micromotion.

Abstract: Technologies are described herein to implement quantum hybrid computations. Embodiments include receiving a hybrid program, assigning respective functions corresponding to the hybrid program to either of CPU processing or QPU processing, scheduling processing for the respective functions, initiating execution of the hybrid program, and collating results of the execution of the classical-quantum hybrid program.

Abstract: Techniques to address the problem of having micromotion and stray fields affect trapped ions and the operation of QIP systems based on trapped ions are described. For example, one technique or approach may involve collecting scattered photons off the ions using a resonant or near-resonant oscillating electric field (e.g., a laser beam or a microwave source) with some projection in the axis or direction of micromotion that one wishes to reduce. Another technique or approach may include raising and lowering the trapping potentials to see how the ion position changes. The information collected from these techniques may be used to provide appropriate adjustments. Accordingly, the present disclosure describes methods, scripts, or techniques that minimize the effects of micromotion.

Abstract: The disclosure describes various aspects of quantum computer simulators. In an aspect, a method for characterizing a quantum computer simulator includes identifying simulator processes supported by the quantum computer simulator, generating, for each simulator process, characteristic curves for different gates or quantum operations, the characteristic curves including information for predicting the time it takes to simulate each of the gates or quantum operations in a respective simulator process, and providing the characteristic curves to select one of the simulator processes to simulate a circuit, quantum program, or quantum algorithm that uses at least some of the gates or quantum operations. In another aspect, a method for optimizing simulations in a quantum computer simulator is described where a simulator process is selected for simulation of a circuit, quantum program, or quantum algorithm based on characteristic curves that predict a time it takes for the simulation to be carried out.

Abstract: Technologies are described herein to implement quantum hybrid computations. Embodiments include receiving a hybrid program, assigning respective functions corresponding to the hybrid program to either of CPU processing or QPU processing, scheduling processing for the respective functions, initiating execution of the hybrid program, and collating results of the execution of the classical-quantum hybrid program.

Abstract: Technologies are described herein to implement quantum hybrid computations. Embodiments include receiving a hybrid program, assigning respective functions corresponding to the hybrid program to either of CPU processing or QPU processing, scheduling processing for the respective functions, initiating execution of the hybrid program, and collating results of the execution of the classical-quantum hybrid program.

Abstract: Technologies are described herein to compile a Turing-complete quantum programming language program into a quantum circuit. The techniques described and recited herein include compiling TCQPL source code to generate a quantum circuit by generating a function object ensemble, generating an abstract syntax tree from received source code, and annotating nodes corresponding to the abstract syntax tree with corresponding function objects.

Abstract: Technologies are described herein to compile a Turing-complete quantum programming language program into a quantum circuit. The techniques described and recited herein include compiling TCQPL source code to generate a quantum circuit by generating a function object ensemble, generating an abstract syntax tree from received source code, and annotating nodes corresponding to the abstract syntax tree with corresponding function objects.

Abstract: Technologies are described herein to implement quantum hybrid computations. Embodiments include receiving a hybrid program, assigning respective functions corresponding to the hybrid program to either of CPU processing or QPU processing, scheduling processing for the respective functions, initiating execution of the hybrid program, and collating results of the execution of the classical-quantum hybrid program.

Abstract: The disclosure describes various aspects of quantum computer simulators. In an aspect, a method for characterizing a quantum computer simulator includes identifying simulator processes supported by the quantum computer simulator, generating, for each simulator process, characteristic curves for different gates or quantum operations, the characteristic curves including information for predicting the time it takes to simulate each of the gates or quantum operations in a respective simulator process, and providing the characteristic curves to select one of the simulator processes to simulate a circuit, quantum program, or quantum algorithm that uses at least some of the gates or quantum operations. In another aspect, a method for optimizing simulations in a quantum computer simulator is described where a simulator process is selected for simulation of a circuit, quantum program, or quantum algorithm based on characteristic curves that predict a time it takes for the simulation to be carried out.