Tensor network methods provide a structured approach to representing and manipulating high-dimensional data by decomposing global information into interconnected low-rank tensors. Originating in the ...

The future of the spatial economy is quite literally being built on the dust of the past. Scientists are working to scrunch AI models with tensor networks, a mathematical framework borrowed from ...

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 ...

The quantum many body problem has been at the heart of much of theoretical and experimental physics over the past few decades. Even though we have understood the fundamental laws that govern the ...

SHENZHEN, China, Feb. 13, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, announced that by introducing the DeepSeek model, they ...

Freek Witteveen, a senior researcher at CWI and QuSoft , has been selected for QDNL funding and mentorship through QDNL Top ...

Entropy Function（熵函数）, a Shenzhen-based quantum-computing software startup, has completed an angel round worth tens of millions of yuan led by GSR Ventures（金沙江创投）, with participation from several ...

The central selling point of qubit-based quantum processors is that they can supposedly solve certain types of tasks much faster than a classical computer. This comes however with the major ...

It's critical to implement an appropriate network topology to design efficient architectures for enterprise-level quantum networks. A relevant quantum networking topology enables quantum ...

Alena Tensor completely reverses this approach. It is much easier now to describe gravity in flat space-time in a way that mathematically reproduces general relativity and then uses the known tools of ...