2024/04/08 by Abhishek Kumar Singh, Singh, Abhishek Kumar, Kyle Jamieson +1
Biochemistry, Genetics and Molecular Biology · Mathematics · Physics and Astronomy · #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Metabolomics and Mass Spectrometry Studies #Theoretical and Computational Physics
paper · pdf · doi:10.48550/arxiv.2404.05631
openalex publication_date 2024/04/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The last couple of years have seen an ever-increasing interest in using different Ising solvers, like Quantum annealers, Coherent Ising machines, and Oscillator-based Ising machines, for solving tough computational problems in various domains. Although the simulations predict massive performance improvements for several tough computational problems, the real implementations of the Ising solvers tend to have limited precision, which can cause significant performance deterioration. This paper presents a novel methodology for mapping the problem on the Ising solvers to artificially increase the effective precision. We further evaluate our method for the Multiple-Input-Multiple-Output signal detection problem.