6,160 research outputs found
Positivity Preserving non-Markovian Master Equation for Open Quantum System Dynamics: Stochastic Schr\"{o}dinger Equation Approach
Positivity preservation is naturally guaranteed in exact non-Markovian master
equations for open quantum system dynamics. However, in many approximated
non-Markovian master equations, the positivity of the reduced density matrix is
not guaranteed. In this paper, we provide a general class of time-local,
perturbative and positivity-preserving non-Markovian master equations generated
from stochastic Schrodinger equations, particularly quantum-state-diffusion
equations. Our method has an expanded range of applicability for accommodating
a variety of non-Markovian environments. We show the positivity-preserving
master equation for a three-level system coupled to a dissipative bosonic
environment as a particular example to exemplify our general approach. We
illustrate the numerical simulations with an analysis explaining why the
previous approximated non-Markovian master equations cannot guarantee
positivity. Our work provides a consistent master equation for studying the
non-Markovian dynamics in ultrafast quantum processes and strong-coupling
systems.Comment: 9 pages, 4 figure
Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control
The explosive growth of dynamic and heterogeneous data traffic brings great
challenges for 5G and beyond mobile networks. To enhance the network capacity
and reliability, we propose a learning-based dynamic time-frequency division
duplexing (D-TFDD) scheme that adaptively allocates the uplink and downlink
time-frequency resources of base stations (BSs) to meet the asymmetric and
heterogeneous traffic demands while alleviating the inter-cell interference. We
formulate the problem as a decentralized partially observable Markov decision
process (Dec-POMDP) that maximizes the long-term expected sum rate under the
users' packet dropping ratio constraints. In order to jointly optimize the
global resources in a decentralized manner, we propose a federated
reinforcement learning (RL) algorithm named federated Wolpertinger deep
deterministic policy gradient (FWDDPG) algorithm. The BSs decide their local
time-frequency configurations through RL algorithms and achieve global training
via exchanging local RL models with their neighbors under a decentralized
federated learning framework. Specifically, to deal with the large-scale
discrete action space of each BS, we adopt a DDPG-based algorithm to generate
actions in a continuous space, and then utilize Wolpertinger policy to reduce
the mapping errors from continuous action space back to discrete action space.
Simulation results demonstrate the superiority of our proposed algorithm to
benchmark algorithms with respect to system sum rate
Mirror symmetry decomposition in double-twisted multilayer graphene systems
Due to the observed superconductivity, the alternating twisted trilayer
graphene (ATTLG) has drawn great research interest very recently, in which
three monolayer graphene (MLG) are stacked in alternating twist way. If one or
several of the MLG in ATTLG are replaced by a multilayer graphene, we get a
double twisted multilayer graphene (DTMLG). In this work, we theoretically
illustrate that, if the DTMLG has a mirror symmetry along z direction like the
ATTLG, there exists a mirror symmetry decomposition (MSD), by which the DTMLG
can be exactly decoupled into two subsystems with opposite parity. The two
subsystems are either a twisted multilayer graphene (single twist) or a
multilayer graphene, depending on the stacking configuration. Such MSD can give
a clear interpretation about all the novel features of the moir\'{e} band
structures of DTMLG, e.g. the fourfold degenerate flat bands and the enlarged
magic angle. Meanwhile, in such DTMLG, the parity becomes a new degree of
freedom of the electrons, so that we can define a parity resolved Chern number
for the moir\'{e} flat bands. More importantly, the MSD implies that all the
novel correlated phases in the twisted multilayer graphene should also exist in
the corresponding DTMLGs, since they have the exact same Hamiltonian in form.
Specifically, according to the MSD, we predict that the superconductivity
should exist in the (1+3+1)-DTMLG.Comment: 12 pages, 6 figure
Mechanism of crack propagation for K9 glass
In order to study the mechanism of crack propagation, the varied cutting-depth scratch experiment is carried out and smoothed particle hydrodynamics (SPH) simulation method is used to assistant the investigation. The SPH simulation results reveal that crack will propagate in the direction where stress concentration exceeds the fracture toughness of K9 glass. The initial crack length in critical transition depth is calculated by combining the critical stress of fracture and the fracture toughness of K9 glass. Based on the effective plastic strain, the relation between scratching depth and crack depth is obtained. The recovery of crack tip is found and explained from the relationship between cutting depth and crack depth. Using the energy balance theory of Griffith, the variation of material internal energy is revealed. Comparing the scratching forces obtained from experiment and simulation, the validity of simulation results is verified. The phenomenon of crack delayed propagation is found in both experiment and simulation. The explanation of mechanism is given
Observation of strong-coupling pairing with weakened Fermi-surface nesting at optimal hole doping in CaNaFeAs
We report an angle-resolved photoemission investigation of optimally-doped
CaNaFeAs. The Fermi surface topology of this compound
is similar to that of the well-studied BaKFeAs
material, except for larger hole pockets resulting from a higher hole
concentration per Fe atoms. We find that the quasi-nesting conditions are
weakened in this compound as compared to BaKFeAs. As
with BaKFeAs though, we observe nearly isotropic
superconducting gaps with Fermi surface-dependent magnitudes. A small variation
in the gap size along the momentum direction perpendicular to the surface is
found for one of the Fermi surfaces. Our superconducting gap results on all
Fermi surface sheets fit simultaneously very well to a global gap function
derived from a strong coupling approach, which contains only 2 global
parameters.Comment: 5 pages, 4 figure
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