MicroCloud Hologram (HOLO) announced the proposal of a new method based on Matrix Product States, MPS, that enables high-precision quantum state preparation with a mirror-symmetric probability distribution. This research not only reduces the entanglement of the probability distribution but also significantly improves the accuracy of the matrix product state approximation, resulting in a computational efficiency increase by two orders of magnitude. This new technology adopts a shallow quantum circuit design, primarily composed of nearest-neighbor qubit gates, and features linear scalability with respect to the number of qubits, greatly enhancing its feasibility on current noisy quantum devices. Furthermore, the study found that in tensor networks, approximation accuracy mainly depends on the bond dimension, with minimal dependence on the number of qubits, laying the foundation for future large-scale adoption.
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