The quantum state preparation method proposed by HOLO, based on matrix product states with mirror-symmetric probability distributions, achieves a computational accuracy two orders of magnitude ...

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 ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms.

In this regard, one of the most important priorities for the Trump administration is to bring down the deep state’s justice system inversion matrix that has become the norm in America.

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms.

HOLO constructs quantum states based on Matrix Product States (MPS) and leverages mirror symmetry to optimize the loading of probability distributions.

The quantum state preparation method proposed by HOLO, based on matrix product states with mirror-symmetric probability distributions, achieves a computational accuracy two orders of magnitude higher ...

SHENZHEN, China, March 18, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the proposal of a new method based on ...