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New Classes of Blind Quantum Source Separation and Process Tomography Methods Based on Spin Component Measurements Along Two Directions

机译:基于两个方向自旋分量测量的新型盲量子源分离和层析成像方法

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We here present major extensions of the fields of blind quantum source separation (BQSS) and blind quantum process tomography (BQPT) for the Heisenberg Hamiltonian. They are based on a new type of spin component measurements performed directly for the available quantum states, which yields new nonlinear mixing models, with extended source signals and mixing parameters. The first two types of proposed BQSS and/or BQPT methods are based on quantum-source independent component analysis. They therefore require typically one thousand quantum states to estimate the mixing parameters, and some of them yield closed-form solutions. We then define a complementary, inversion-based, BQSS/BQPT method which requires only one quantum state, but which is based on solving nonlinear equations numerically.
机译:我们在这里介绍了海森堡哈密顿量的盲量子源分离(BQSS)和盲量子过程层析成像(BQPT)领域的主要扩展。它们基于直接对可用量子态执行的新型自旋分量测量,从而产生了具有扩展源信号和混合参数的新非线性混合模型。所提议的BQSS和/或BQPT方法的前两种类型是基于量子源独立分量分析的。因此,它们通常需要一千个量子态来估计混合参数,并且其中一些会产生封闭形式的解。然后,我们定义了一种互补的,基于求逆的BQSS / BQPT方法,该方法仅需要一个量子态,但它是基于数值求解非线性方程的。

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