Tensor networks take a central role in quantum physics as they can provide an efficient approximation to specific classes of quantum states. The associated graphical language can also easily describe ...
SHENZHEN, China, Jan. 16, 2026 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration ...
Recently, researchers have achieved a groundbreaking milestone in quantum computing by successfully simulating Google’s 53-qubit, 20-layer Sycamore quantum circuit. This accomplishment was made ...
HOLO first carefully selects high-quality quantum bits and employs advanced ion trapping technology to construct a stable and reliable quantum bit system within the quantum processor. Ion trapping ...
(A) Illustration of a convolutional neural network (NN) whose variational parameters (T) are encoded in the automatically differentiable tensor network (ADTN) shown in (B). The ADTN contains many ...
One of the first steps toward becoming a scientist is discovering the difference between speed and velocity. To nonscientists, it’s usually a meaningless distinction. Fast is fast, slow is slow. But ...
NVIDIA has this week announced the availability of its cuTENSOR v1.4, which now supports up to 64-dimensional tensors, distributed multi-GPU tensor operations, and helps improve tensor contraction ...
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