Quantum Circuit Selection for Minimizing Hardware and Design Errors
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Solution Overview
Problem
Existing quantum computing systems face challenges in identifying optimal gate-level implementations of quantum programs that minimize overall error rates and resource utilization while adhering to hardware-specific errors and design constraints.
Innovation Solution
A method and system that analyze alternative quantum circuits for hardware and design errors, applying a search algorithm to identify an optimal circuit with minimized total error bounds by considering hardware resources and design errors, and providing the optimal circuit for execution on a quantum computer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple alternative quantum circuits are analyzed to minimize overall error rates, then the reliability of quantum program execution is improved, but the complexity of the system increases due to the need to evaluate multiple circuits and their respective error bounds
Solution Approach 1:
The patent segments the error analysis into distinct components: design errors for each alternative circuit and hardware errors for each quantum resource. By dividing the total error bound into summations of individual error sources (Equation 1), the system can systematically evaluate and compare multiple circuits without overwhelming complexity.
Solution Approach 2:
The patent performs preliminary error bound calculations for each alternative quantum circuit before execution. By pre-computing design errors and hardware error bounds for all candidate circuits, the system identifies the optimal circuit in advance, avoiding the need for complex real-time error management during execution.
2Manufacturing precision
If the search algorithm evaluates all alternative quantum circuits to find the optimal one, then the manufacturing precision of the quantum program implementation is improved, but the loss of time increases due to comprehensive evaluation
Solution Approach 1:
The patent replaces exhaustive manual or brute-force evaluation with an automated search algorithm that systematically compares total error bounds. The algorithm substitutes computational automation for manual circuit analysis, efficiently evaluating multiple circuits and identifying the optimal one without proportionally increasing time investment.
3Adaptability or versatility
If hardware-specific errors are considered in the error bound calculation, then the adaptability of the quantum program to specific hardware is improved, but the difficulty of detecting and measuring errors increases
Solution Approach 1:
The patent changes the parameter representation of errors by introducing hardware-specific error rates for each quantum resource type. Instead of treating all errors uniformly, the system assigns specific error parameters to different hardware components (gates, qubits, measurements), enabling tailored error analysis that adapts to the particular quantum computer being used.
Data Source
AI summary
A method, apparatus and product comprising: obtaining alternative quantum circuits implementing a quantum program, each having a respective design error; identifying, for each quantum circuit, respective quantum resources that are used by the quantum circuit and are associated with respective hardware errors of a quantum computer; determining a total hardware error bound for the quantum circuit; determining a total error bound for the quantum circuit; applying a search algorithm over a plurality of total error bounds of the plurality of alternative quantum circuits, to identify an optimal total error bound that is associated with an optimal quantum circuit; and providing the optimal quantum circuit for execution on the quantum computer.