17 citations · 99 across the 66 of their papers we have counts for
6 papers · 1 filter
AMR-MUL: An Approximate Maximally Redundant Signed Digit Multiplier
Saba Amanollahi, Mehdi Kamal, Ali-Afzali-Kusha +1
In this paper, we present an energy-efficient, yet high-speed approximate maximally redundant signed digit (MRSD) multiplier (called AMR-MUL) based on a parallel structure. For the…
Better Than Worst-Case Decoding for Quantum Error Correction
Gokul Subramanian Ravi, Jonathan M. Baker, Arash Fayyazi +4
The overheads of classical decoding for quantum error correction on superconducting quantum systems grow rapidly with the number of logical qubits and their correction code distanc…
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis
Soheil Nazar Shahsavani, Arash Fayyazi, Mahdi Nazemi +1
Recent efforts for improving the performance of neural network (NN) accelerators that meet today's application requirements have given rise to a new trend of logic-based NN inferen…
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators
Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili +1
This paper introduces the sparse periodic systolic (SPS) dataflow, which advances the state-of-the-art hardware accelerator for supporting lightweight neural networks. Specifically…
A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness
Souvik Kundu, Sairam Sundaresan, Massoud Pedram +1
Existing models that achieve state-of-the-art (SOTA) performance on both clean and adversarially-perturbed images rely on convolution operations conditioned with feature-wise linea…
DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ Logic
Mohammad Reza Jokar, Richard Rines, Ghasem Pasandi +5
The control of cryogenic qubits in today's superconducting quantum computer prototypes presents significant scalability challenges due to the massive costs of generating/routing th…