State preparation is of fundamental importance in quantum physics, which can be realized by constructing the quantum circuit as a unitary that transforms the initial state to the target, or implementing a quantum control protocol to evolve to the target state with a designed Hamiltonian. In this work, we study the latter on quantum many-body systems by the time evolution with fixed couplings and variational magnetic fields. In specific, we consider to prepare the ground states of the Hamiltonians containing certain interactions that are missing in the Hamiltonians for the time evolution. An optimization method is proposed to optimize the magnetic fields by "fine-graining" the discretization of time, in order to gain high precision and stability. The back propagation technique is utilized to obtain the gradients of the fields against the logarithmic fidelity. Our method is tested on preparing the ground state of Heisenberg chain with the time evolution by the XY and Ising interactions, and its performance surpasses two baseline methods that use local and global optimization strategies, respectively. Our work can be applied and generalized to other quantum models such as those defined on higher dimensional lattices. It enlightens to reduce the complexity of the required interactions for implementing quantum control or other tasks in quantum information and computation by means of optimizing the magnetic fields.
翻译:在量子物理学中,国家准备具有根本重要性,在量子物理学中,国家准备是根本重要性的,可以通过建造量子电路作为将初始状态转换到目标状态的单体,或通过执行量子控制协议,与设计成汉密尔顿人一起向目标状态演变,或者通过设计成汉密尔顿人进行量子多体系统;在这项工作中,我们研究后者,在与固定结合和变异磁场进行时间演进时,对量多体系统进行量子系统研究;具体地说,我们考虑使汉密尔顿人的地面状态做好准备,其中含有汉密尔密尔顿人为时间演进所缺少的某些相互作用;建议一种优化方法,通过时间的离散化来优化磁场的优化磁场,以便获得高度精确性和稳定性;利用后向传播技术,利用对对正对正对正对正对正的对准度获取字段的梯度;我们的方法是在准备海森堡链的地面状态与XY和Ising相互作用,其性超过了分别使用当地和全球优化战略的两种基线方法;我们的工作可以应用和普及到其他量模型,例如高维度控定的高度纬度阵列点上确定的其他量模型。它可以使磁场进行最精确的磁场和测。