2 papers
cs.AR2025
CIMR-V: An End-to-End SRAM-based CIM Accelerator with RISC-V for AI Edge Device
Yan-Cheng Guo and, Tian-Sheuan Chang, Chih-Sheng Lin +5
Computing-in-memory (CIM) is renowned in deep learning due to its high energy efficiency resulting from highly parallel computing with minimal data movement. However, current SRAM-…
physics.app-ph2025
Scaffold-Assisted Window Junctions for Superconducting Qubit Fabrication
Chung-Ting Ke, Jun-Yi Tsai, Yen-Chun Chen +13
The superconducting qubit is one of the promising directions in realizing fault-tolerant quantum computing (FTQC), which requires many high-quality qubits. To achieve this, it is d…