Yuqi Su

Yuqi Su
  • Nanyang Technological University

About

17
Publications
290
Reads
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179
Citations
Current institution
Nanyang Technological University

Publications

Publications (17)
Article
Combinatorial optimization problems (COPs) are essential in various applications, including data clustering, supply chain management, and communication networks. Many real-world COPs are non-deterministic polynomial-time hard problems intractable using classical computers. Ising machine, the hardware accelerator based on the Ising model and anneali...
Article
This work presents an algorithm hardware co-design implementing a digital neuronal population dynamics simulator intended for the trajectory error correction task within a simultaneous localization and mapping workflow. A custom discretized procedural algorithm approximating a neuronal population dynamics-based inference operation is developed for...
Article
This work presents a hardware accelerator realizing true time-domain wavefront computing in a massive parallel two-dimensional (2-D) processing element (PE) array. The proposed 2-D time-domain PE array is designed for multiple applications based on its scalable and reconfigurable architecture. The shortest path problem (a classical problem in graph...
Article
Ising machines have recently emerged as efficient computers for nondeterministic polynomial-time hard (NP-hard) combinatorial optimization problems (COPs). While most prior works have built their Ising machines with spins arranged in a graph with only two-body interactions, many real-world COPs, including a popular Boolean satisfiability (SAT) prob...
Article
No existing algorithms can find exact solutions to the combinatorial optimization problems (COPs) classified as non-deterministic polynomial-time (NP) hard problems. Alternatively, Ising computer based on the Ising model and annealing process has recently drawn significant attention. The Ising computers can find approximate solutions to the NP-hard...
Article
Recently, annealing processors based on the Ising model have received rising attention as efficient alternative hardware for solving combinatorial optimization problems. After mapping a problem to the hardware Ising model, we can observe the natural convergence behavior of the Ising model and find potential solutions to the problem. The quantum ann...

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