1,277 research outputs found
On neutrino and charged lepton masses and mixings: A view from the electroweak-scale right-handed neutrino model
We present a model of neutrino masses within the framework of the EW-
model in which the experimentally desired form of the PMNS matrix is obtained
by applying an symmetry to the \emph{Higgs singlet sector} responsible
for the neutrino Dirac mass matrix. This mechanism naturally avoids potential
conflict with the LHC data which severely constrains the Higgs sector, in
particular the Higgs doublets. Moreover, by making a simple we
extract for the charged lepton sector.
A similar is proposed for the quark sector. The sources of
masses for the neutrinos are entirely different from those for the charged
leptons and for the quarks and this might explain why is {\em very
different} from .Comment: 19 pages. Two figure
Lepton Flavor Violating Radiative Decays in EW-Scale Model: An Update
We perform an updated analysis for the one-loop induced lepton flavor
violating radiative decays in an extended mirror model.
Mixing effects of the neutrinos and charged leptons constructed with a
horizontal symmetry are also taken into account. Current experimental
limit and projected sensitivity on the branching ratio of
are used to constrain the parameter space of the model. Calculations of two
related observables, the electric and magnetic dipole moments of the leptons,
are included. Implications concerning the possible detection of mirror leptons
at the LHC and the ILC are also discussed.Comment: 9 figures, 36 single-side pages. Updated email addresses and
referenc
Harnessing graph state resources for robust quantum magnetometry under noise
Precise measurement of magnetic fields is essential for various applications,
such as fundamental physics, space exploration, and biophysics. Although recent
progress in quantum engineering has assisted in creating advanced quantum
magnetometers, there are still ongoing challenges in improving their efficiency
and noise resistance. This study focuses on using symmetric graph state
resources for quantum magnetometry to enhance measurement precision by
analyzing the estimation theory under Markovian and non-Markovian noise models.
The results show a significant improvement in estimating both single and
multiple Larmor frequencies. In single Larmor frequency estimation, the quantum
Fisher information spans a spectrum from the standard quantum limit to the
Heisenberg limit within a periodic range of the Larmor frequency, and in the
case of multiple Larmor frequencies, it can exceed the standard quantum limit
for both Markovian and non-Markovian noise. This study highlights the potential
of graph state-based methods for improving magnetic field measurements under
noisy environments.Comment: 10 pages, 7 figure
Qsun: an open-source platform towards practical quantum machine learning applications
Currently, quantum hardware is restrained by noises and qubit numbers. Thus,
a quantum virtual machine that simulates operations of a quantum computer on
classical computers is a vital tool for developing and testing quantum
algorithms before deploying them on real quantum computers. Various variational
quantum algorithms have been proposed and tested on quantum virtual machines to
surpass the limitations of quantum hardware. Our goal is to exploit further the
variational quantum algorithms towards practical applications of quantum
machine learning using state-of-the-art quantum computers. This paper first
introduces our quantum virtual machine named Qsun, whose operation is
underlined by quantum state wave-functions. The platform provides native tools
supporting variational quantum algorithms. Especially using the parameter-shift
rule, we implement quantum differentiable programming essential for
gradient-based optimization. We then report two tests representative of quantum
machine learning: quantum linear regression and quantum neural network.Comment: 18 pages, 7 figure
Increased success probability in Hardy's nonlocality: Theory and demonstration
Depending on the way one measures, quantum nonlocality might manifest more
visibly. Using basis transformations and interactions on a particle pair, Hardy
logically argued that any local hidden variable theory leads to a paradox.
Extended from the original work, we introduce a quantum nonlocal scheme for
n-particle systems using two distinct approaches. First, a theoretical model is
derived with analytical results for Hardy's nonlocality conditions and
probability. Second, a quantum simulation using quantum circuits is constructed
that matches very well to the analytical theory. When demonstrated on real
quantum computers for n=3, we obtain reasonable results compared to theory.
Even at macroscopic scales as n grows, the success probability asymptotes
15.6%, which is stronger than previous results.Comment: 4 pages, 4 figure
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