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qCG: A Low-Power Multi-Domain SFQ Logic Design and Verification Framework., , and . ICCD, page 446-449. IEEE, (2019)OCTAN: An On-Chip Training Algorithm for Memristive Neuromorphic Circuits., , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 66-I (12): 4687-4698 (2019)Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators., , , and . ISLPED, page 3:1-3:6. ACM, (2022)SEERAD: A high speed yet energy-efficient rounding-based approximate divider., , , , , and . DATE, page 1481-1484. IEEE, (2016)VeriSFQ: A Semi-formal Verification Framework and Benchmark for Single Flux Quantum Technology., , , , , and . ISQED, page 224-230. IEEE, (2019)Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis., , , and . ACM Trans. Reconfigurable Technol. Syst., 16 (2): 17:1-17:25 (June 2023)PHAX: Physical Characteristics Aware Ex-Situ Training Framework for Inverter-Based Memristive Neuromorphic Circuits., , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 37 (8): 1602-1613 (2018)Scalable Superconductor Neuron with Ternary Synaptic Connections for Ultra-Fast SNN Hardware., , , , , and . CoRR, (2024)Have your QEC and Bandwidth too!: A lightweight cryogenic decoder for common / trivial errors, and efficient bandwidth + execution management otherwise., , , , , , and . CoRR, (2022)BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions., , , and . CoRR, (2023)