The uncertainty inherent to quantum mechanics has long left physicists wondering whether the observations we make on the ...
It's a well-known fact that quantum calculations are difficult, but one would think that quantum computers would facilitate the process. In most cases, this is true.
Researchers from Tel Aviv University have developed a new method for simulating complex quantum systems that can be combined with cutting edge AI techniques The density of 6 fermions in a 2D harmonic ...
The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...
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Unifying physics just got harder: Study challenges fundamental test of quantum gravity
While this may complicate the quest for a clear experimental signature of quantum gravity, it does not render such tests useless. According to the research team, both classical and quantum models of ...
Machine learning has emerged as a powerful tool in condensed matter physics, offering new perspectives on the exploration of quantum many-body systems, phase transitions and exotic states of matter.
The 2025 Nobel Prize in physics has been awarded to a trio of scientists – a Briton, a Frenchman and an American – for their ground-breaking discoveries in the field of quantum mechanics.John Clarke, ...
Tohoku University researchers have found a way to make quantum sensors more sensitive by connecting superconducting qubits in ...
Detecting dark matter—the mysterious substance that holds galaxies together—is one of the greatest unsolved problems in ...
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