Majorana Stabilizer Codes for High-Density Quantum Error Correction

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Solution Overview

Problem

Current quantum computing devices face challenges in implementing effective error-correction mechanisms, particularly for small Majorana fermion codes with low error rates, where existing codes may not provide optimal trade-offs between the number of physical Majorana modes, distance, and the number of logical qubits.

Innovation Solution

The development of Majorana fermion stabilizer codes with small numbers of modes and specific distances, including distance 4 and 6 codes, which are constructed to maximize the number of logical qubits and utilize Hamming Majorana codes generated using random search procedures to achieve optimal error correction within the constraints of available Majorana zero modes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If existing Majorana fermion codes are used, then error correction is provided, but the number of logical qubits is limited and does not maximize the available physical Majorana modes

Engineering Contradiction:
Improveerror correction capabilityVSAvoidnumber of logical qubits
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent changes the parameters of Majorana fermion codes by constructing new stabilizer codes with specific distance values (d=4, d=6) and optimizing the ratio of logical qubits to physical Majorana modes. This involves modifying the code distance and stabilizer structure to achieve better performance metrics than previously known codes.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent applies local quality by creating codes with specific local stabilizer structures that optimize error detection and correction properties. The stabilizers are designed with particular patterns (e.g., weight-4 and weight-6 stabilizers for d=6 codes) that provide enhanced local error correction capability while maximizing logical qubit density.

Inventive Principle:
Principle #3Local quality

2Device complexity

If the number of physical Majorana modes is reduced, then device complexity decreases, but error correction capability may be compromised

Engineering Contradiction:
Improvenumber of physical Majorana modesVSAvoiderror correction capability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent optimizes the code distance parameter to achieve distance-6 error correction, which provides robust error protection even with a limited number of physical Majorana modes. This parameter optimization ensures that the error correction capability remains high while the scale of the device can be kept manageable.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements distance-6 error correction, which provides more error protection than the minimum required for basic functionality. This excessive action in terms of error correction strength ensures high reliability even when the number of physical modes is constrained, allowing the system to tolerate more errors than strictly necessary.

Inventive Principle:
Principle #16Partial or excessive action

3Reliability

If codes with higher distance are constructed, then error correction capability improves, but the number of logical qubits that can be encoded decreases

Engineering Contradiction:
Improvecode distanceVSAvoidnumber of logical qubits
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent carefully balances the code distance parameter with the number of logical qubits by constructing families of codes for different distances (d=4 and d=6). For each distance value, the patent optimizes the stabilizer structure to maximize the number of logical qubits, achieving the best possible trade-off between error correction strength and information capacity.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent provides a flexible framework where the code parameters (distance, number of logical qubits, number of physical modes) can be dynamically adjusted based on the specific requirements of the quantum computing task. This allows optimization for different operational scenarios, balancing error correction needs against logical qubit requirements.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS10574268B2Small Majorana fermion codes
Publication Date: 2020.02.25 MICROSOFT TECHNOLOGY LICENSING LLC
  • US10574268B2 patent drawing
  • US10574268B2 patent drawing
  • US10574268B2 patent drawing

AI summary

The disclosed technology concerns tools and techniques for implementing error-correction codes in a quantum computing device. In particular embodiments, Majorana fermion stabilizer codes having small numbers of modes and distance are disclosed. Particular embodiments have an upper bound on the number of logical qubits for distance 4 codes, and Majorana fermion codes are constructed that saturate this bound. Other distance 4 and 6 codes are also disclosed.