Yong-Tae Kim

Kyungpook National University · Computer Science and Engineering

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Professor

Prof. 김용태

Professor's page · publications

About

스케일러블 컴퓨팅 연구실의 김용태 교수는 뉴로모픽 및 인공지능 컴퓨팅 아키텍처와 시스템을 연구한다. 어프록시메이트(근사)·스토케스틱(확률)·양자 컴퓨팅 기술과 차세대 메모리 아키텍처 등을 다룬다.

Research keywords

Energy-efficient computing architectures: quantum computing accelerators & quantum circuit simulationapproximate/stochastic computingneuromorphic (SNN) computingand processing-in-memory / AI hardware accelerators

Selected publications

quSAS: Structure-Aware Quantum Circuit Simulation with 1.58-bit Representation and Sparsity-based ComputationIEEE/ACM International Conference on Computer-Aided Design (ICCAD) · 2026
quEStab: Towards Scalable Quantum Circuit Simulation on Multi-GPU using an Extended Stabilizer FormalismACM International Conference on Supercomputing (ICS) · 2026
Constraint-Optimal Driven Allocation for Scalable Quantum Error Correction Decoder SchedulingPhysical Review A · 2026
QQ: Is 2-bit Enough? Exploiting Quantization to Enhance Computation and Memory Efficiency in Quantum SimulationIEEE/ACM International Conference on Computer-Aided Design (ICCAD) · 2025
A Noise-Resilient and Configurable Approximate Quantum Multiplier for Enhanced Computation Fidelity on NISQ DevicesPhysica Scripta · 2025
Hardware-Efficient Quantized Stochastic Computing with Reduced Precision Stochastic Number Generator and LFSR-based CounterInternational Journal of Circuit Theory and Applications · 2025

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