Equal 1 Laboratories Ireland Limited (20240303526). Quantum Error Correction Decoding Incorporating Assisted Machine Learning simplified abstract
Contents
Quantum Error Correction Decoding Incorporating Assisted Machine Learning
Organization Name
Equal 1 Laboratories Ireland Limited
Inventor(s)
Quantum Error Correction Decoding Incorporating Assisted Machine Learning - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240303526 titled 'Quantum Error Correction Decoding Incorporating Assisted Machine Learning
- Simplified Explanation:**
This patent application describes a novel mechanism for iterative quantum error correction using multiple orthogonal low-level decoders with machine learning assistance to optimize decoder solutions in real-time for a fault-tolerant quantum system.
- Key Features and Innovation:**
- Utilizes multiple low-level decoders to correct errors in a quantum system.
- Employs machine learning algorithms to find the optimal decoder solution.
- Preserves the logical state of the quantum system while correcting errors.
- Increases error correction coverage within the system.
- Potential Applications:**
- Quantum computing
- Error correction in quantum systems
- Machine learning-assisted optimization
- Problems Solved:**
- Finding the optimal error correction solution in real-time
- Preserving the logical state of the quantum system
- Increasing error correction coverage within the system
- Benefits:**
- Improved error correction efficiency
- Real-time optimization of decoder solutions
- Enhanced fault tolerance in quantum systems
- Commercial Applications:**
- Quantum computing technology companies
- Research institutions focusing on quantum error correction
- Machine learning software developers
- Prior Art:**
Prior research on quantum error correction mechanisms and machine learning-assisted optimization in quantum systems.
- Frequently Updated Research:**
Ongoing studies on quantum error correction techniques and machine learning applications in quantum computing.
- Questions about Quantum Error Correction:**
1. How does machine learning assist in optimizing decoder solutions for quantum error correction? 2. What are the potential challenges in implementing multiple orthogonal low-level decoders in a quantum system?
Original Abstract Submitted
a novel and useful mechanism for iterative quantum error correction using multiple orthogonal low level decoders with machine learning assist to optimize decoder solutions for finding the optimal solution in real time for a fault tolerant quantum system. a machine learning algorithm is employed to find the optimal decoder solution to correct detected error(s) while preserving the logical state of the quantum system. the qec mechanism addresses the disadvantages of the prior art by providing multiple error correction solutions and leveraging machine learning (ml) techniques to choose the best one to avoid the introduction of the logical error conditions and greatly increase the coverage for error correction within the system.
