7 papers
Conjugate Equivariant Neural Network for Precoder Learning
Shiyong Chen, Mingyu Deng, Shengqian Han
Exploiting mathematical properties of wireless policies in deep neural network (DNN) design can improve learning performance and generalizability while reducing training complexity…
A Spin-Based Pathway to Testing the Quantum Nature of Gravity
Sougato Bose, Anupam Mazumdar, Roger Penrose +52
A key open problem in physics is the correct way to combine gravity (described by general relativity) with everything else (described by quantum mechanics). This problem suggests t…
Enhancement of the effects due to the Schrödinger-Newton equation
Davide Giordano Ario Altamura, José Luis Gaona-Reyes, Elliot Simcox +2
The Schrödinger-Newton (SN) equation introduces a nonlinear self-gravitational term to the standard Schrödinger equation, offering a paradigmatic model for semiclassical gravity.…
Measuring Decoherence Due to Quantum Vacuum Fluctuations
Anirudh Gundhi, Hendrik Ulbricht
The interaction of a particle with vacuum fluctuations--which theoretically exist even in the complete absence of matter--can lead to observable irreversible decoherence if it were…
The path towards measuring the gravitational field of proton bunches at accelerators
Daniel Braun, Rongrong Cai, Pascal Hermes +6
The Newtonian law describing the gravitational interaction of non-relativistic (slowly moving) gravitating matter, has been tested in many laboratory experiments with very high pre…
Long-Baseline Atom Interferometry
Antun Balaz, Diego Blas, Oliver Buchmueller +50
Long-baseline atom interferometry is a promising technique for probing various aspects of fundamental physics, astrophysics and cosmology, including searches for ultralight dark ma…