Logical Clifford Matrix Mapping via Stabilizer Tableaux

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Solution Overview

Problem

Existing quantum computing devices face challenges with error correction due to noise and thermal fluctuations, leading to inaccuracies in quantum computations, and current methods for computing symplectic matrices for logical Clifford operations have high computational complexity.

Innovation Solution

A method is introduced to efficiently compute a symplectic matrix representing a logical Clifford operation by constructing a stabilizer tableau and destabilizer check rows, which are used to convert logical operations into physical representations, reducing computational complexity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If existing methods for computing symplectic matrices for logical Clifford operations are used, then the operations can be performed, but the computational complexity is high

Engineering Contradiction:
Improvecomputational complexityVSAvoidcomputation efficiency
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent segments the computation of symplectic matrices by introducing stabilizer tableaux that decompose the problem into smaller, more manageable components. The stabilizer tableau represents the quantum error correction code in a structured format that allows efficient computation of Clifford operations by operating on individual rows and columns rather than the entire matrix at once.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces stabilizer tableaux as an intermediary representation between the logical Clifford operation specification and the physical symplectic matrix. This intermediary structure facilitates the conversion process by providing a systematic way to map logical operations to physical implementations through the stabilizer formalism, reducing the direct computational burden.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If quantum computing devices are cooled to low temperatures and error correction protocols are implemented, then robustness to errors is improved, but device complexity increases

Engineering Contradiction:
Improverobustness to errorsVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent uses stabilizer tableaux to create a simplified copy or representation of the quantum error correction code structure. This tableau copy allows classical computation to efficiently determine the effects of Clifford operations on stabilizer codes without requiring direct manipulation of the full quantum system, thereby reducing the complexity overhead of error correction.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent changes the representation parameters of the quantum error correction code from full Hamiltonian or matrix forms to stabilizer generator forms. This parameter change allows the system to work with fewer, more manageable parameters that still capture the essential error correction properties, reducing the complexity of implementing and tracking error correction protocols.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentEP4708155A1Computing physical representation matrix of logical clifford operation
Publication Date: 2026.03.11 MICROSOFT TECHNOLOGY LICENSING LLC
  • EP4708155A1 patent drawingFigure 1
  • EP4708155A1 patent drawingFigure 2
  • EP4708155A1 patent drawingFigure 3

AI summary

A computing system (1) is provided, including one or more processing devices (22) configured to receive an extended stabilizer form (c( )) of a quantum error correction code (34). The one or more processing devices are further configured to receive a logical Clifford operation specification (E) of a logical Clifford operation (30). Based at least in part on the extended stabilizer form, the one or more processing devices are further configured to compute a stabilizer tableau (U) of the quantum error correction code. Based at least in part on the stabilizer tableau and the logical Clifford operation specification, the one or more processing devices are further configured to compute a physical representation matrix (C) of the logical Clifford operation. The one or more processing devices are further configured to output the physical representation matrix.