Quantum Error Mitigation Validation Using Simulable Circuits
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Solution Overview
Problem
Existing quantum error mitigation (QEM) methods lack scalability and flexibility, requiring extensive hardware calibration and being specific to individual error mitigation strategies, limiting their applicability across different QEM techniques and increasing computational overhead.
Innovation Solution
A system that converts quantum circuits into classically simulable circuits and learns a simplified noise model, allowing for scalable and efficient validation and optimization of QEM configurations without additional quantum resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing QEM methods are applied, then error mitigation is achieved, but scalability and flexibility deteriorate due to extensive hardware calibration requirements and strategy-specific limitations
Solution Approach 1:
The patent implements a universal validation framework that works across multiple QEM strategies (zero-noise extrapolation, probabilistic error cancellation, etc.) through a common interface. The system validates QEM configurations generically without being specific to any single error mitigation technique, enabling broad applicability while maintaining accurate error mitigation across different methods
Solution Approach 2:
The validation framework segments the QEM validation process into distinct modular components: configuration validation, circuit validation, and result validation. This segmentation allows each component to be independently validated and reused across different QEM strategies, improving both scalability and flexibility
2Reliability
If existing QEM methods are applied, then error mitigation is achieved, but computational overhead increases due to extensive hardware calibration
Solution Approach 1:
The patent performs validation of QEM configurations against a simplified noise model before actual quantum execution. This preliminary validation identifies and corrects configuration errors in advance, preventing wasted computational resources during quantum circuit execution and reducing overall computational overhead while maintaining error mitigation accuracy
3Measurement precision
If quantum circuits are directly executed, then QEM results are obtained, but validation and optimization are limited without classically simulable models
Solution Approach 1:
The patent introduces a simplified noise model as an intermediary between the quantum circuit and the validation process. This noise model serves as a mediator that enables classical validation of QEM configurations while maintaining relevance to actual quantum execution, allowing precise validation without directly executing complex quantum circuits
Solution Approach 2:
The patent creates a simplified copy of the quantum execution environment through the noise model and classically simulable circuits. This copy enables comprehensive validation and optimization of QEM configurations using classical computing resources, reducing the complexity of direct quantum validation while preserving measurement precision
Data Source
AI summary
Systems and techniques that facilitate scalable validation and optimization of quantum error mitigation computational workflows are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory that can execute the computer executable components stored in memory. The computer executable components can comprise an input component that receives a quantum error mitigation (QEM) configuration of a quantum circuit and a quantum execution backend; a quantum circuit conversion component that converts the quantum circuit into a classically simulable quantum circuit; a noise component that learns a simplified noise model of the quantum execution backend; and an evaluation component that validates or optimizes the QEM configuration over the classically simulable quantum circuit and the simplified noise model.