Quantum machines, new materials, and the universe at every scale.
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arXiv
Verdict: NotableSignificant efforts are currently being directed toward the implementation of large-scale quantum information processors, but realizing useful quantum advantage also requires the development of efficient quantum…
Simulating chaotic planetary system evolution requires resolving small time-scales due to close encounters, scattering, collisions, and more.
Supervised machine learning in high-energy physics (HEP) requires training on labeled simulations of particle collisions, which are known to be unfaithful to the underlying physics.
We introduce a compact Topological-Geometrical Descriptor (TGD) for planar two-dimensional carbon networks.
Knowledge bases are essential to agents for high energy physics (HEP), supplying few-shot evidence for previously unseen tasks.
Assembling defect-free arrays of neutral atoms requires real-time rearrangement of stochastically loaded optical tweezers.
The distance of a quantum code is a fundamental metric that dictates its error-correction capability.