Method and Apparatus for Collaborative Error Correction using Quantum LDPC Codes and Message Exchange Among Iterative Decoders

Case ID:
UA24-245
Invention:

Quantum low-density parity-check (QLDPC) codes are the leading candidate for performing error correction in scalable fault-tolerant quantum computing systems. This invention is a novel method and apparatus for collaborative decoders using QLDPC codes. These quantum decoders pass messages not only within the individual decoders that correct specific error types but also exchange information amongst each other to collaboratively correct multiple error types with excellent decoding performance and speed. Collaborative decoders using QLDPC codes will exchange information amongst each other in an iterative fashion aiding them to correct errors in larger numbers than the state-of-the-art decoder as well as in a faster way than when they work alone. This collaborative approach allows for the correction of multiple error types simultaneously, significantly increasing the number of correctable errors and enhancing the decoding speed compared to existing state-of-the-art decoders.

Background: 
Quantum computing is a rapidly growing field that can be used for more applications than classical computers, but it is prone to errors due to quantum decoherence and other noise sources. Error correction is crucial for the development of practical quantum computers. QLDPC codes are a leading candidate for error correction because of their efficiency and scalability. Traditional QLDPC decoders, however, face limitations in correcting errors quickly and effectively, especially when multiple types of errors occur. The collaborative decoders in this invention address these limitations by enabling decoders to share information and work together iteratively. This results in faster and more robust error correction, paving the way for more reliable and scalable quantum computing systems. 

Applications: 

  • Quantum computing
  • Covert communication
  • Cybersecurity 
  • Banking and financial services
  • Data securitization
  • Environmental monitoring
  • Biomedical imaging


Advantages: 

  • Greater signal accuracy
  • Greater error correction 
  • Greater efficiency
Patent Information:
Contact For More Information:
Scott Zentack
Licensing Manager, College of Engr
The University of Arizona
zentack@arizona.edu
Lead Inventor(s):
Nithin Raveendran
Bane Vasic
Keywords: