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02/11/2022, 18:30
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Cenk Tüysüz (DESY)Poster
Barren plateaus appear to be a major obstacle to using variational quantum algorithms to simulate large-scale quantum systems or replace traditional machine learning algorithms. They can be caused by multiple factors such as expressivity, entanglement, locality of observables, or even hardware noise. We propose classical splitting of ans\"atze or parametrized quantum circuits to avoid barren...
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Felix Wagner (HEPHY Vienna)Poster
In the past decades, numerous experiments have emerged to unveil the nature of dark matter (DM), one of the most discussed open questions in modern particle physics. Direct detection experiments aim to measure scattering of DM particles off a target material. The expected DM scattering rate increases exponentially towards lower nuclear recoil energies, thus a low detection threshold is...
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Supanut ThanasilpPoster
Kernel methods in Quantum Machine Learning (QML) have recently gained significant attention as a potential candidate for achieving a quantum advantage in data analysis. Among other attractive properties, when training a kernel-based model one is guaranteed to find the optimal model's parameters due to the convexity of the training landscape. However, this is based on the assumption that the...
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Giulia Gemme (Università degli studi di Genova)Poster
We characterize for the first time the performances of IBM quantum chips as quantum batteries, specifically addressing the single-qubit Armonk processor. By exploiting the Pulse access enabled to some of the IBM Quantum processors via the Qiskit package, we investigate the advantages and limitations of different profiles for classical drives used to charge these miniaturized batteries,...
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Ivan Vybornyi (Leibniz University Hannover)Poster
Poster title: "Sideband Thermometry on Ion Crystals"
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Meijian Li (University of Santiago de Compostela), Wenyang QianPoster
QCD jets provide one of the best avenues to extract information about the quark-gluon plasma produced in the aftermath of ultrarelativistic heavy-ion collisions. The structure of jets is determined by multiparticle quantum interference hard to tackle using perturbative methods. When jets evolve in a QCD medium, this interference pattern is modified, adding another layer of complexity. By...
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Mr Giovanni Di Bartolomeo (University of Trieste), Michele Vischi (University of Trieste)Poster
In a digital gate-based quantum computer, the effect of noise is usually described as a quantum channel appearing either before or after each gate. However, realistic noises are more complicated because every gate is experimentally realized via the time evolution of quantum controls, thus noises act along with (and affect) the evolution of the system. To handle noise effects in a more...
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Daniel BraunPoster
We study possibilities of creation and detection of oscillating gravitational
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fields from high energy laser beams in an optical cavity and from the ultra-
relativistic proton bunches circulating in the beam of the Large Hadron
Collider (LHC) at CERN. These sources allow for signal frequencies much
higher and far narrower in bandwidth than what most celestial sources
produce. In addition,... -
Mr Zoltán Kolarovszki (Wigner Research Centre for Physics)Poster
We introduce the Piquasso quantum programming framework, a full-stack open source platform for the simulation and programming of photonic quantum computers. Piquasso can be programmed via high-level Python programming interface enabling users to perform efficient quantum computing with discrete and continuous variables. Via optional high-performance C++ backends Piquasso provides...
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Arianna CrippaPoster
We propose to utilize NISQ-era quantum devices to compute short distance quantities in (2 + 1)-dimensional QED and to combine them with large volume Monte Carlo simulations and perturbation theory. Since the theory is asymptotically free, it would serve as a training ground for future studies of Quantum Chromodynamics in (3 + 1)-dimensions on quantum computers. From the definition of the QED...
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Davide Nicotra (Nikhef National institute for subatomic physics (NL)), Davide Zuliani (Universita e INFN, Padova (IT)), Miriam Lucio Martinez (Nikhef National institute for subatomic physics (NL))Poster
Given the recent developments and successes, Quantum Computing (QC) has seen a tremendous increase in relevance and interest. Particularly in the last years, QC algorithms have been developed to study their use in solving typical problems in High Energy Physics.
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In this poster, we present the recent QC applications to jet tagging and track reconstruction currently pursued by the “Data... -
Simone CalettiPoster
We discuss a Quantum Non-Demolition Measurement protocol to estimate the derivatives of a cost function with a quantum computers. This is a key step for the implementation of a variational quantum circuits. The use of a quantum detector allows us to directly estimate the derivatives of an observable, i.e., the derivative of the cost function. This allows us to reduce the resources needed to...
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Jorge Juan Martinez De Lejarza Samper (University of Valencia)Poster
We study the case where quantum computing could improve jet clustering by considering two new quantum algorithms that might speed up classical jet clustering algorithms. The first one is a quantum subroutine to compute a Minkowski-based distance between two data points, while the second one consists of a quantum circuit to track the rough maximum into a list of unsorted data. When one or both...
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Oriel Orphee Moira Kiss (Universite de Geneve (CH))Poster
Quantum machine learning offers a promising advantage in extracting information about quantum states, e.g. phase diagram. However, access to training labels is a major bottleneck for any supervised approach, preventing extracting insights about new physics. In this work, using quantum convolutional neural networks we overcome this limit with the determination of the phase diagram of a model...
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Prof. Daniel Braun (Eberhard Karls University Tübingen)Poster
We summarize our recent work on quantum chaotic sensors, machine
learning in quantum metrology, and Bayesian experimental design and
data analysis.Measurement devices have traditionally always used integrable systems
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as sensors, such as precessing spins or harmonic oscillators prepared
in non-classical states. But large benefits can be drawn from
rendering integrable quantum... -
Nakul Aggarwal (University of Alberta)Poster
In the Standard Model framework, the Higgs-boson gives rise to the mass of elementary particles. Measuring the coupling of a Higgs-boson to charged leptons is an important process to test the Standard Model predictions. In this work, we only focus on the Higgs' decay into two tau leptons as the masses of electron and muon leptons are too small for the detection of their coupling to Higgs by...
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40. Solving Hadron structures using the basis light-front quantization approach on quantum computersWenyang Qian (University of Santiago de Compostela)Poster
Quantum computing has demonstrated the potential to revolutionize our understanding of nuclear, atomic, and molecular structure by obtaining forefront solutions in non-relativistic quantum many-body theory. In this work, we show that quantum computing can be used to solve for the structure of hadrons, governed by strongly-interacting relativistic quantum field theory. Following our previous...
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Massimiliano IncudiniPoster
Kernel methods are used in Machine Learning to enrich the feature
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representation of data in order to improve the generalization property
of models. Quantum kernels efficiently implement complex transformations
encoding classical data in the Hilbert space of a quantum system.
Working with quantum kernels may produce benefits with respect to
classical models. However, the choice of a... -
David Spataro (DESY)Poster
LUXE (Laser Und XFEL Experiment) is a proposed experiment at DESY and European XFEL in Hamburg aiming to study non-perturbative quantum electrodynamics (QED) in electron-laser and photon-laser collisions. One of the key measurements is the number of positrons produced via the non-linear Breit-Wheeler process, which can be as high as 70,000 at LUXE phase-0 and even higher at phase-1. A silicon...
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Cosmin MarinPoster
Quantum computing is becoming a new paradigm in computational physics, with two complementary emerging approaches, the circuit-based technology and the quantum annealers such as D-Wave. To better understand the software and the hardware performances of these new technologies, we have started to investigate how to solve a general optimization problem with the Quantum Annealer D-Wave. As a first...
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