collaborators

8 papers

cs.AR2026

AccelCIM: Systematic Dataflow Exploration for SRAM Compute-in-Memory Accelerator

Chenhao Xue, Yukun Wang, An Guo +11

SRAM-based compute-in-memory (CIM) offers high computational density and energy efficiency for deep neural network (DNN) accelerators, but its limited capacity causes on/off-chip d…

cs.AR2026

CellE: Automated Standard Cell Library Extension via Equality Saturation

Yi Ren, Yukun Wang, Xiang Meng +6

Automated standard cell library extension is crucial for maximizing Quality of Results (QoR) in modern VLSI design. We introduce CellE, a novel framework that leverages formal meth…

cs.AR2025

Orthrus: Dual-Loop Automated Framework for System-Technology Co-Optimization

Yi Ren, Baokang Peng, Chenhao Xue +6

With the diminishing return from Moore's Law, system-technology co-optimization (STCO) has emerged as a promising approach to sustain the scaling trends in the VLSI industry. By br…

quant-ph2025

Hierarchical Quantum Optimization via Backbone-Driven Problem Decomposition: Integrating Tabu-Search with QAOA

Minhui Gou, Zeyang Li, Hong-Ze Xu +6

As quantum computing advances, quantum approximate optimization algorithms (QAOA) have shown promise in addressing combinatorial optimization problems. However, the limitations of…

quant-ph2025

TANGO: A Robust Qubit Mapping Algorithm via Two-Stage Search and Bidirectional Look

Kang Xu, Yukun Wang, Dandan Li

Current quantum devices typically lack full qubit connectivity, making it difficult to directly execute logical circuits on quantum devices. This limitation necessitates quantum ci…

quant-ph2025

RBM-Based Simulated Quantum Annealing for Graph Isomorphism Problems

Yukun Wang, Yingtong Shen, Zhichao Zhang +1

The graph isomorphism problem remains a fundamental challenge in computer science, driving the search for efficient decision algorithms. Due to its ambiguous computational complexi…

quant-ph2025

DAPO-QAOA: An algorithm for solving combinatorial optimization problems by dynamically constructing phase operators

Yukun Wang, ZeYang Li, Linchun Wan

The Quantum Approximate Optimization Algorithm (QAOA) is a well-known hybrid quantum-classical algorithm for combinatorial optimization problems. Improving QAOA involves enhancing…

quant-ph2025

An Efficient Iterative Algorithm for Qubit Mapping via Layer-Weight Assignment and Search Space Reduction

Kang Xu, Zeyang Li, Xinjian Liu +2

Current quantum devices support interactions only between physically adjacent qubits, preventing quantum circuits from being directly executed on these devices. Therefore, SWAP gat…