Quantum machines, new materials, and the universe at every scale.
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…
The Quantum Approximate Optimization Algorithm (QAOA) and its variants are leading algorithms to help solve challenging combinatorial optimization problems.
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.
Simulating chaotic planetary system evolution requires resolving small time-scales due to close encounters, scattering, collisions, and more.
We introduce a compact Topological-Geometrical Descriptor (TGD) for planar two-dimensional carbon networks.
We show that horizon-scale magnetic fields around supermassive black holes (SMBHs), only limited by gravity, yield a universal, model-independent ceiling on electromagnetic energy density.
The distance of a quantum code is a fundamental metric that dictates its error-correction capability.