Miscellaneous computation and quantum stochastic analysis
PdeEdt:
an editor and shell for working with PDE solver on the network.
Brief overview
Quantum Computing and Machine Learning
Quantum computing algorithm solves physics/biology models governed by a deterministic/stochastic PDE.
QC leverages the unique capabilities of QM (q-bits, trinary, Q-entanglement, etc.) to potentially achieve significant
speedups compared with traditional computing methods (FD, FEM, Domain decomposition).
The Q-system can also be applied to make simulations based on Math learning analysis via incorporating AI data-driven appraoch.
Quantum Evolution Computing
QC with Python
Hybrid Algorithms with working
examples QC.
Data driven PDE solver: Models with Neural Operators
Large scale implementation of quantum algorithms
FEM LAB
with links.
Discrete & Continuum Neuron Communicatons in Brain Domain
AI, Fourier and wavelet transforms
Time-Splitting Methods on Nonlinear Dirac Equation without Magnetic Potential
Construction of Dirac Spinors
with An Electromagnetic Field in Q-Astrophysical settingPdf
BEC by nonlinear dirac equation: vortex and spectra in a weak harmonic trap
N-body evolution by dynamic mode decompositiona
QC for Gen Z
On the Stability of Multiscale Wavelet Methods with Applications to Navier-Stokes Equations
with links
Library Online STEM
