When Binary Cuts Hint a Hidden Line in Polytopes

Geometric shapes aren’t just pretty ornaments on a chalkboard. In optimization, they’re enormous, living laboratories where tiny binary decisions ripple into sweeping consequences. The CUT(n) polytope—the convex hull of cut vectors of a complete graph Kn—has loomed as a central but stubborn mystery: its vertices are famously elusive to describe with a neat, closed-form formula….

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A Learning Agent Tames Quantum Sensing Noise with Spins

Quantum sensing promises to measure tides of reality that are invisible to ordinary devices: magnetic fields that drift like ghost winds, tiny rotations, minute shifts in energy landscapes. Yet the very thing that makes quantum sensors so powerful — their fragility — is also what makes them hard to deploy outside pristine laboratories. Decoherence, tiny…

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When AI Generates Data, Quality Wins the Race

In the world of WiFi sensing and motion recognition, data is destiny. Models learn from examples, and when real-world data are scarce or expensive to collect, synthetic data sounds like a lifeline. But synthetic data is not a magic elixir. If the data it generates are off-target, models can learn the wrong things, and performance…

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Energy Clues Redefine How Nuclei Change Charge States

In the grand game of nuclei, protons and neutrons are players in a delicate dance. When two atomic nuclei collide at high speed, sometimes a proton—effectively a charged guest—gets traded or removed. The likelihood of that charge-changing event, called a charge-changing cross section (CCCS), carries the fingerprints of how protons are distributed inside the nucleus….

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Quantum dynamics may speed up convex optimization in surprising ways

In a sunlit corner of finance research, JPMorgan Chase’s Global Technology Applied Research group has explored a bold idea: could the quirky logic of quantum physics actually make solving the clean, abstract problem of convex optimization faster? The paper, authored by Shouvanik Chakrabarti, Dylan Herman, Jacob Watkins, Enrico Fontana, Brandon Augustino, Junhyung Lyle Kim, and…

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