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Physicists develop the first working model of quantum mechanics using only 'real' numbers
Physicists have built a real-number version of quantum mechanics that makes all the same predictions as the standard theory, ...
Physicists have built a real-number version of quantum mechanics that makes all the same predictions as the standard theory, resolving a question that's simmered since the field began.
Nvidia’s AI business is driving strong demand for high-end computers. But the AI surge is throwing a wrench into hardware ...
London, United Arab Emirates, June 25th, 2026, ChainwireSolstice to launch aiUSX, a yield-bearing asset that lets companies ...
This package is intended to provide an easy to use interface for performing tensor network simulations on Matrix Product States (MPS). MPSDynamics.jl is a versatile package which supports both chain ...
Right off the bat, let’s give a shout out to the mathematician propeller-heads who create the transformations that make it possible to do all kinds of high performance computing to simulate, model, ...
TensorWave has raised $350 million at a $1.55 billion valuation to expand an AI cloud built entirely around AMD hardware and software. The Series B gives customers another potential route around ...
This repository provides accurate tensor (NVIDIA) and matrix (AMD) core models written in MATLAB. It also includes parts of the model validation data which is used to refine the models as shown in [1] ...
Here’s how all the mobile chipsets from the last two and a half years stack up. The gap between smartphone chips in 2026 is ...
Samsung shares rose after it shipped samples of its newest AI memory chip. The chipmaker said HBM4E was faster than its previous HBM4 products. The launch comes as Samsung pushes to gain ground in ...
Google could boost the security credentials of its next Pixel phone with the introduction of the new Titan M3 chip. The chip could be integrated into the Tensor G6, but it's not clear what security ...
Tensor networks have been recognized as an effective representation and research tool for quantum systems. Tensor network-based algorithms are used to explore the basic properties of quantum systems.
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