1 citations · 2 across the 15 of their papers we have counts for
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Quantum LDPC Codes from Polynomial Minors
Vahid Nourozi, Roxana Smarandache, David G. M. Mitchell
We construct quantum codes from codewords of a cyclic code and the minors of a polynomial matrix. The construction uses a two-row, three-column matrix whose minors yield a second m…
High-Girth QLDPC Codes from Circulant and Affine Permutation Matrices
Vahid Nourozi, Roxana Smarandache, David G. M. Mitchell†
We study two explicit constructions of binary Calderbank--Shor--Steane quantum low-density parity-check (QLDPC) codes with check weight six. The first uses a fixed circulant shift…
Lifted-Product QLDPC Codes in the Polynomial Domain
Vahid Nourozi, Mohsen Moradi, Roxana Smarandache +1
This paper presents a finite-length polynomial-domain formulation of lifted-product quantum low-density parity-check (QLDPC) codes. We formulate the code construction over the quot…
High-Performance Reinforcement-Learned BP Decoding of Quantum LDPC Codes
Mohsen Moradi, Vahid Nourozi, Taejoon Kim +2
Belief-propagation (BP) decoding is attractive for quantum low-density parity-check (QLDPC) codes because it uses local message passing on sparse Tanner graphs. However, convention…
Learning to Decode Quantum LDPC Codes Via Belief Propagation
Mohsen Moradi, Vahid Nourozi, Salman Habib +1
Belief-propagation (BP) decoding for quantum low-density parity-check (QLDPC) codes is appealing due to its low complexity, yet it often exhibits convergence issues due to quantum…
Constructing Quantum Convolutional Codes via Difference Triangle Sets
Vahid Nourozi, David Mitchell
In this paper, we introduce a construction of quantum convolutional codes (QCCs) based on difference triangle sets (DTSs). To construct QCCs, one must determine polynomial stabiliz…
Sequential BP-based Decoding of QLDPC Codes
Mohsen Moradi, Salman Habib, Vahid Nourozi +1
Quantum low-density parity-check (QLDPC) codes are a leading approach to quantum error correction, yet conventional belief propagation (BP) decoders often perform poorly, primarily…