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QUBO.jl is an all-in-one package for working with QUBO formulations in JuMP and interfacing with QUBO solvers. This project aggregates three complementary packages: ToQUBO.jl , QUBODrivers.jl and QUBOTools.jl .

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QUBO.jl is an all-in-one package for working with QUBO models in JuMP and interfacing with their solvers. This project aggregates and extends functionality from its complementary packages ToQUBO.jl, QUBODrivers.jl and QUBOTools.jl.

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2023年4月13日 · 本文介绍了量子退火法作为量子计算机的一种算法，用于解决二次无约束二值优化问题。 通过将问题转换为哈密顿算符和QUBO矩阵，量子退火法能高效找到最优解。 文中以Python模拟退火算法为例，展示了如何利用QUBO解决二次多项式问题，并提到量子退火机在大规模问题上的优势。 量子退火法能解决什么问题？ 量子计算机是利用“量子叠加”，“纠缠”等 量子力学 现象实现 并行 计算的计算机。 传统计算机需要大量时间才能得出答案的问题，量子计算机可 …

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Set of QUBOs: We provide an extensive benchmark of various QUBOs. Comparison of Solvers: We compare a variety of solvers for their speed and accuracy. Classical vs Quantum: Performance benchmarks for classical and quantum machines. Comparing classical and quantum solvers for QUBO problems.