11 citations · 29 across the 14 of their papers we have counts for
14 papers
Low-Energy Line Codes for On-Chip Networks
Beyza Dabak, Major Glenn, Jingyang Liu +5
Energy is a primary constraint in processor design, and much of that energy is consumed in on-chip communication. Communication can be intra-core (e.g., from a register file to an…
Spatially-Coupled QLDPC Codes
Siyi Yang, Robert Calderbank
Spatially-coupled (SC) codes is a class of convolutional LDPC codes that has been well investigated in classical coding theory thanks to their high performance and compatibility wi…
Breaking the Computational Bottleneck: Design of Near-Optimal High-Memory Spatially-Coupled Codes
Siyi Yang, Ahmed Hareedy, Robert Calderbank +1
Spatially-coupled (SC) codes, known for their threshold saturation phenomenon and low-latency windowed decoding algorithms, are ideal for streaming applications and data storage sy…
Quantum algorithm for structure learning of Markov Random Fields
Liming Zhao, Siyi Yang, Patrick Rebentrost
Markov random fields (MRFs) appear in many problems in machine learning and statistics. From a computational learning theory point of view, a natural problem of learning MRFs arise…
Quantum Alphatron: quantum advantage for learning with kernels and noise
Siyi Yang, Naixu Guo, Miklos Santha +1
At the interface of machine learning and quantum computing, an important question is what distributions can be learned provably with optimal sample complexities and with quantum-ac…
Hierarchical Hybrid Error Correction for Time-Sensitive Devices at the Edge
Siyi Yang, Ahmed Hareedy, Robert Calderbank +1
Computational storage, known as a solution to significantly reduce the latency by moving data-processing down to the data storage, has received wide attention because of its potent…