17 citations · 23 across the 7 of their papers we have counts for
9 papers
Distance Prediction for Quantum Codes
Nadav Schneider, Eliya Nachmani
The distance of a quantum code is a fundamental metric that dictates its error-correction capability. While quantum low-density parity-check (qLDPC) families such as Bivariate Bicy…
TokenMapper: A Step Toward Interoperable Speech Token Translation
Tal Kozakov, Tal Rosenwein, Eliya Nachmani
Neural audio codecs discretize speech into token sequences, but the resulting token spaces differ in vocabulary and codebook structure, preventing direct communication across model…
Logical Neural Belief Propagation for Linear-Complexity Decoding of Surface Codes
Hee-Youl Kwak, Seong-Joon Park, Dae-Young Yun +2
Quantum error correction (QEC) requires accurate and efficient decoders, yet belief propagation (BP), despite its linear decoding complexity, often provides insufficient logical ac…
DiffusionGemma Technical Report
DiffusionGemma Team, Adrien Ali Taïga, James Assiene +41
We introduce DiffusionGemma, an experimental open-weight language model that uses discrete diffusion to generate text at exceptionally high speed. Rather than decoding one token at…
Score Based Error Correcting Code Decoder
Alon Helvits, Eliya Nachmani
Error-correcting codes enable reliable communication, yet practical soft decoding remains challenging across code families and block lengths. We propose SB-ECC, a score-based decod…
Neural Minimum Weight Perfect Matching for Quantum Error Codes
Yotam Peled, David Zenati, Eliya Nachmani
Realizing the full potential of quantum computation requires Quantum Error Correction (QEC). QEC reduces error rates by encoding logical information across redundant physical qubit…
Neural Brain Fields: A NeRF-Inspired Approach for Generating Nonexistent EEG Electrodes
Shahar Ain Kedem, Itamar Zimerman, Eliya Nachmani
Electroencephalography (EEG) data present unique modeling challenges because recordings vary in length, exhibit very low signal to noise ratios, differ significantly across partici…
Denoising Diffusion Gamma Models
Eliya Nachmani, Robin San Roman, Lior Wolf
Generative diffusion processes are an emerging and effective tool for image and speech generation. In the existing methods, the underlying noise distribution of the diffusion proce…
Non Gaussian Denoising Diffusion Models
Eliya Nachmani, Robin San Roman, Lior Wolf
Generative diffusion processes are an emerging and effective tool for image and speech generation. In the existing methods, the underline noise distribution of the diffusion proces…