Quantum Error Mitigation via Noise Correlation Stretch Factors

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Solution Overview

Problem

Near-term quantum computers face challenges in accuracy due to noise sensitivity and error rates, particularly in quantum simulation tasks like estimating molecular Hamiltonians, where decoherence affects the accuracy of expectation values.

Innovation Solution

A method is introduced to determine time correlations of noise within quantum computing circuits, calculate coherence times, and apply stretch factors to mitigate errors through repeated loops of initialization, execution, and measurement, using Richardson extrapolation to improve accuracy and reduce noise impact.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If quantum error correction (QEC) is implemented to remediate noise and error sensitivity, then accuracy of expectation values is improved, but device complexity and implementation difficulty increase beyond near-term quantum hardware capabilities

Engineering Contradiction:
Improveaccuracy of expectation valuesVSAvoidimplementation complexity of fault tolerant architecture
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the error correction problem into two distinct parts: (1) quantum error mitigation techniques applied to near-term hardware with limited qubits, and (2) classical post-processing algorithms that analyze measurement data to extract accurate expectation values. This segmentation allows near-term quantum computers to perform useful computations without requiring full fault-tolerant quantum error correction architectures.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces classical computing as an intermediary between the noisy quantum hardware and the final accurate results. Classical algorithms process the measurement data from quantum circuits, applying error mitigation techniques to recover accurate expectation values without requiring the quantum hardware itself to be fault-tolerant. This intermediary approach bridges the gap between noisy near-term devices and accurate computational results.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If quantum circuits are executed longer to improve measurement accuracy, then expectation value precision is improved, but decoherence effects increase and reduce accuracy

Engineering Contradiction:
Improveprecision of expectation value measurementsVSAvoidcoherence time of qubits
Core Design Contradiction:
Measurement precisionVSDuration of action of stationary object

Solution Approach 1:

The patent employs periodic measurement and reset cycles in quantum Monte Carlo simulations. Instead of requiring long continuous quantum evolution, the system performs repeated short-duration quantum circuit executions with periodic resetting of qubits to their initial states. This periodic action allows accumulation of statistical data over time without suffering from prolonged decoherence, as each quantum circuit execution remains within the coherence time window.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The patent maintains continuous progress toward accurate results through repeated quantum circuit executions and classical post-processing. Rather than requiring a single long quantum evolution that would suffer from decoherence, the system continuously accumulates measurement data from multiple short executions, using classical algorithms to progressively refine expectation value estimates. This continuous action approach achieves high precision without extending individual quantum circuit durations beyond coherence limits.

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentUS10755193B2Implementation of error mitigation for quantum computing machines
Publication Date: 2020.08.25 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US10755193B2 patent drawing
  • US10755193B2 patent drawing
  • US10755193B2 patent drawing

AI summary

One or more time correlations of noise within a quantum computing circuit of a quantum processor are determined. The quantum computing circuit includes one or more qubits. A coherence time for each qubit is determined, and one or more stretch factors are determined based upon the time correlations of the noise and the coherence times. A first loop is initialized that performs for each of the stretch factors: initializing the qubits to a ground state, executing the quantum computing circuit with a the stretch factor, performing one or more single-qubit post-rotations associated with one or more expectation values, measuring a state of each qubit to determine the one or more expectation values of interest, and resetting each qubit to the ground state. A mitigated estimate is determined for the expectation values based upon an extrapolation of the expectation values determined for each stretch factor.