Apparatus and method including neural network learning to detect and correct quantum errors

Abstract

Apparatus and method for neural network learning to detect and correct quantum errors. For example, one embodiment of an apparatus comprises. For example, one embodiment of an apparatus comprises: a quantum processor comprising one or more data quantum bits (qbits) and one or more ancilla qbits; an error decoder to decode a state of at least one of the ancilla qbits to generate an error syndrome related to one or more qbit errors; a neural network to evaluate the error syndrome and to either identify a known corrective response for correcting the error or to perform unsupervised learning to identify a corrective response to the error syndrome.

What is claimed is: 
     
         1 . A machine-readable medium having program code stored thereon which, when executed by a machine, causes the machine to perform the operations of:
 identifying a first potential corrective response to the error syndrome based on an existing error correction model containing data related to known corrective responses for different error syndromes;   causing the first potential corrective response to be implemented; and   if the first potential corrective response corrects the error, then updating the error correction model to include data related to the new error.   
     
     
         2 . The method of  claim 1  further comprising program code to cause the machine to perform the operation of:
 selecting one or more additional potential corrective responses if the first potential corrective response does not correct the error until one is identified which corrects the error. 
 
     
     
         3 . The method of  claim 2  further comprising program code to cause the machine to perform the operation of:
 re-initializing the data qbits upon reaching a threshold number of attempts to identify a corrective response.