6 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…
The small effect of graviton-induced decoherence
Guri K. Buza, Marko Toroš
We derive and investigate the reduced dynamics of a nonrelativistic quantum matter system interacting with quantized gravitational waves. Because gravitational radiation couples ti…
Generating quantum non-local entanglement with mechanical rotations
Marko Toroš, Maria Chiara Braidotti, Swain Ashutosh +3
Recent experiments have searched for evidence of the impact of non-inertial motion on the entanglement of particles. The success of these endeavours has been hindered by the fact t…
Destructive Interference of Inertial Noise in Matter-wave Interferometry
Meng-Zhi Wu, Marko Toroš, Sougato Bose +1
Matter-wave interferometry is highly susceptible to inertial acceleration noises arising from the vibration of the experimental apparatus. There are various methods for noise suppr…
Decoherence rate expression due to air molecule scattering in spatial qubits
Martine Schut, Patrick Andriolo, Marko Toroš +2
We provide a solution for decoherence in spatial superpositions due to scattering/collision with air molecules. This result reproduces the short- and long-wavelength limits known i…
Inertial Torsion Noise in Matter-Wave Interferometers for Gravity Experiments
Meng-Zhi Wu, Marko Toroš, Sougato Bose +1
Matter-wave interferometry is susceptible to non-inertial noise sources, which can induce dephasing and a resulting loss of interferometric visibility. Here, we focus on inertial t…