Optimizing Quantum Error Correction Codes with Reinforce- ment Learning

The code optimization using the search tree relies on bounds on the free distance of partially defined codebooks.. Definition 3: An EC-VLC is an incomplete codebook (IC) if

The collision avoidance problem described in the introduction consists of devising a method of using the system’s re- sources (capability to send warning signals to the driver and

per column, which in turn controls the left degree of source symbols, on the erasure recovery capabilities of the codes when a Gaussian elimination decoding scheme is

The family of hyperbolic surface codes is one of the rare families of quantum LDPC codes with non-zero rate and unbounded minimum distance.. First, we introduce a family of

Section 9 is devoted to the proof of Proposition 9.1, which asserts that any m–linked configuration of 3m points such that no m + 2 of them are collinear and no 2m + 2 of them are on

On the other hand, Helleseth, Klove and Levenshtein in the paper Error correction capability of binary linear codes [7] study order 1 or 2 Reed-Muller codes and they show that

The method is based on the greedy layer-wise procedure of deep learning algorithms and extends the denoising autoencoder (Vincent et al., 2008) by adding asymmetric lateral

We propose a quantum error correcting code which takes advantage of this asymmetry and shows good performance at a relatively small cost in redundancy, requiring less than a doubling