1,854 research outputs found
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Machine learning (ML) methods such as artificial neural networks are rapidly
becoming ubiquitous in modern science, technology and industry. Despite their
accuracy and sophistication, neural networks can be easily fooled by carefully
designed malicious inputs known as adversarial attacks. While such
vulnerabilities remain a serious challenge for classical neural networks, the
extent of their existence is not fully understood in the quantum ML setting. In
this work, we benchmark the robustness of quantum ML networks, such as quantum
variational classifiers (QVC), at scale by performing rigorous training for
both simple and complex image datasets and through a variety of high-end
adversarial attacks. Our results show that QVCs offer a notably enhanced
robustness against classical adversarial attacks by learning features which are
not detected by the classical neural networks, indicating a possible quantum
advantage for ML tasks. Contrarily, and remarkably, the converse is not true,
with attacks on quantum networks also capable of deceiving classical neural
networks. By combining quantum and classical network outcomes, we propose a
novel adversarial attack detection technology. Traditionally quantum advantage
in ML systems has been sought through increased accuracy or algorithmic
speed-up, but our work has revealed the potential for a new kind of quantum
advantage through superior robustness of ML models, whose practical realisation
will address serious security concerns and reliability issues of ML algorithms
employed in a myriad of applications including autonomous vehicles,
cybersecurity, and surveillance robotic systems.Comment: 10 pages, 5 Figure
Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning
Quantum machine learning (QML) is emerging as an application of quantum
computing with the potential to deliver quantum advantage, but its realisation
for practical applications remains impeded by challenges. Amongst those, a key
barrier is the computationally expensive task of encoding classical data into a
quantum state, which could erase any prospective speed-ups over classical
algorithms. In this work, we implement methods for the efficient preparation of
quantum states representing encoded image data using variational, genetic and
matrix product state based algorithms. Our results show that these methods can
approximately prepare states to a level suitable for QML using circuits two
orders of magnitude shallower than a standard state preparation implementation,
obtaining drastic savings in circuit depth and gate count without unduly
sacrificing classification accuracy. Additionally, the QML models trained and
evaluated on approximately encoded data display an increased robustness to
adversarially generated input data perturbations. This partial alleviation of
adversarial vulnerability, possible due to the "drowning out" of adversarial
perturbations while retaining the meaningful large-scale features of the data,
constitutes a considerable benefit for approximate state preparation in
addition to lessening the requirements of the quantum hardware. Our results,
based on simulations and experiments on IBM quantum devices, highlight a
promising pathway for the future implementation of accurate and robust QML
models on complex datasets relevant for practical applications, bringing the
possibility of NISQ-era QML advantage closer to reality.Comment: 14 pages, 8 figure
pi-pi scattering in a QCD based model field theory
A model field theory, in which the interaction between quarks is mediated by
dressed vector boson exchange, is used to analyse the pionic sector of QCD. It
is shown that this model, which incorporates dynamical chiral symmetry
breaking, asymptotic freedom and quark confinement, allows one to calculate
, , and the partial wave amplitudes in -
scattering and obtain good agreement with the experimental data, with the
latter being well described up to energies \mbox{ MeV}.Comment: 23 Pages, 4 figures in PostScript format, PHY-7512-TH-93, REVTEX
Available via anonymous ftp in /pub: login anonymou get pipi93.tex Fig1.ps
Fig2.ps Fig3.ps Fig4.p
Precision Pion-Proton Elastic Differential Cross Sections at Energies Spanning the Delta Resonance
A precision measurement of absolute pi+p and pi-p elastic differential cross
sections at incident pion laboratory kinetic energies from T_pi= 141.15 to
267.3 MeV is described. Data were obtained detecting the scattered pion and
recoil proton in coincidence at 12 laboratory pion angles from 55 to 155
degrees for pi+p, and six angles from 60 to 155 degrees for pi-p. Single arm
measurements were also obtained for pi+p energies up to 218.1 MeV, with the
scattered pi+ detected at six angles from 20 to 70 degrees. A flat-walled,
super-cooled liquid hydrogen target as well as solid CH2 targets were used. The
data are characterized by small uncertainties, ~1-2% statistical and ~1-1.5%
normalization. The reliability of the cross section results was ensured by
carrying out the measurements under a variety of experimental conditions to
identify and quantify the sources of instrumental uncertainty. Our lowest and
highest energy data are consistent with overlapping results from TRIUMF and
LAMPF. In general, the Virginia Polytechnic Institute SM95 partial wave
analysis solution describes our data well, but the older Karlsruhe-Helsinki PWA
solution KH80 does not.Comment: 39 pages, 22 figures (some with quality reduced to satisfy ArXiv
requirements. Contact M.M. Pavan for originals). Submitted to Physical Review
The pi -> pi pi process in nuclei and the restoration of chiral symmetry
The results of an extensive campaign of measurements of the pi -> pi pi
process in the nucleon and nuclei at intermediate energies are presented. The
measurements were motivated by the study of strong pi pi correlations in
nuclei. The analysis relies on the composite ratio C_{pi pi}^A, which accounts
for the clear effect of the nuclear medium on the (pi pi) system. The
comparison of the C_{pi pi}^A distributions for the (pi pi)_{I=J=0} and (pi
pi)_{I=0,J=2} systems to the model predictions indicates that the C_{pi pi}^A
behavior in proximity of the 2m_pi threshold is explainable through the partial
restoration of chiral symmetry in nuclei.Comment: accepted for publication in Nucl. Phys.
Microscopic calculation of proton capture reactions in mass 60-80 region and its astrophysical implications
Microscopic optical potentials obtained by folding the DDM3Y interaction with
the densities from Relativistic Mean Field approach have been utilized to
evaluate S-factors of low-energy reactions in mass 60-80 region
and to compare with experiments. The Lagrangian density FSU Gold has been
employed. Astrophysical rates for important proton capture reactions have been
calculated to study the behaviour of rapid proton nucleosynthesis for waiting
point nuclei with mass less than A=80
Low energy () reactions in Ni and Cu nuclei using microscopic optical model
Radiative capture reactions for low energy protons have been theoretically
studied for Ni and Cu isotopes using the microscopic optical model. The optical
potential has been obtained in the folding model using different microscopic
interactions with the nuclear densities from Relativistic Mean Field
calculations. The calculated total cross sections as well as the cross sections
for individually low lying levels have been compared with measurements
involving stable nuclear targets. Rates for the rapid proton capture process
have been evaluated for astrophysically important reactions.Comment: To appear in Physical Review
Low Energy Analyzing Powers in Pion-Proton Elastic Scattering
Analyzing powers of pion-proton elastic scattering have been measured at PSI
with the Low Energy Pion Spectrometer LEPS as well as a novel polarized
scintillator target. Angular distributions between 40 and 120 deg (c.m.) were
taken at 45.2, 51.2, 57.2, 68.5, 77.2, and 87.2 MeV incoming pion kinetic
energy for pi+ p scattering, and at 67.3 and 87.2 MeV for pi- p scattering.
These new measurements constitute a substantial extension of the polarization
data base at low energies. Predictions from phase shift analyses are compared
with the experimental results, and deviations are observed at low energies.Comment: 15 pages, 4 figure
Baryon polarization in low-energy unpolarized meson-baryon scattering
We compute the polarization of the final-state baryon, in its rest frame, in
low-energy meson--baryon scattering with unpolarized initial state, in
Unitarized BChPT. Free parameters are determined by fitting total and
differential cross-section data (and spin-asymmetry or polarization data if
available) for , and scattering. We also compare our
results with those of leading-order BChPT
Working group on and N interactions - Summary
This is the summary of the working group on and N interactions
of the Chiral Dynamics Workshop in Mainz, September 1-5, 1997. Each talk is
represented by an extended one page abstract. Some additional remarks by the
convenors are addedComment: 20 pp, LaTeX2e, uses epsf, 1 fi
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