Pruning Quantum Computational Results via Shot Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current quantum computing systems face challenges in managing the exponential growth of classical data resulting from quantum computations, particularly in noisy environments where numerous unique shot results are generated, leading to excessive data storage and transmission needs.
Innovation Solution
A method is introduced that involves receiving quantum computational results, discarding results based on mismatched quantum bit states and frequency thresholds, and employing multiple correspondence analysis and clustering to reduce the data size by storing only the most relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quantum computations are performed with increased shot numbers to improve measurement precision, then the reliability of quantum results is improved, but the quantity of classical data that needs to be stored and transmitted increases exponentially
Solution Approach 1:
The patent extracts and removes redundant or low-value shot results from the quantum computation output. By applying filtering criteria to identify and discard unnecessary results, the system retains only the essential data needed for reliable measurements, thereby reducing the quantity of classical data while maintaining measurement precision.
Solution Approach 2:
The patent implements a selective discarding mechanism where shot results that do not meet certain criteria are discarded, while valuable results are recovered and retained. This process eliminates excessive data generation from noisy quantum computations while preserving the information necessary for accurate measurements.
2Loss of information
If all shot results are retained to ensure complete information is available, then the loss of information is minimized, but the device complexity and resource consumption for data management increase
Solution Approach 1:
The patent applies preliminary filtering actions to shot results immediately after quantum computation. By pre-processing and evaluating results against defined criteria before full data storage, the system identifies and eliminates redundant information early, reducing subsequent data management complexity while maintaining information completeness for essential results.
3Productivity
If quantum computations are performed on noisy quantum computers to achieve practical applications, then the productivity and utility of quantum computing is improved, but the quantity of unique shot results increases due to noise
Solution Approach 1:
The patent converts the harmful effect of quantum noise, which generates excessive unique shot results, into a benefit by developing filtering mechanisms that specifically identify and remove noise-induced redundant results. This approach allows noisy quantum computers to maintain practical utility while significantly reducing the quantity of useless data generated by noise.
Data Source
AI summary
A computer-implemented method, system and computer program product for pruning quantum calculational results. The results of quantum calculations performed by a quantum circuit of a quantum computer are received, such as for each shot. A measured state of a quantum bit of a result of the quantum calculation is then compared with an expected value. If the compared measured state of the quantum bit of the result of the quantum calculation matches the expected value, then the result of the quantum calculation is not discarded. If, however, the measured state of the quantum bit of the result of the quantum calculation does not match the expected value, then the result of the quantum calculation is discarded. In this manner, the size of the full result (compilation of multiple shot results) is reduced thereby reducing the amount of classical data that needs to be stored, interpreted and transported.