All Outputs (16)

Qade: solving differential equations on quantum annealers (2022)
Journal Article
Criado, J. C., & Spannowsky, M. (2023). Qade: solving differential equations on quantum annealers. Quantum Science and Technology, 8(1), Article 015021. https://doi.org/10.1088/2058-9565/acaa51

We present a general method, called Qade, for solving differential equations using a quantum annealer. One of the main advantages of this method is its flexibility and reliability. On current devices, Qade can solve systems of coupled partial differe... Read More about Qade: solving differential equations on quantum annealers.

Simulating anti-skyrmions on a lattice (2022)
Journal Article
Criado, J. C., Schenk, S., Spannowsky, M., Hatton, P. D., & Turnbull, L. (2022). Simulating anti-skyrmions on a lattice. Scientific Reports, 12, Article 19179. https://doi.org/10.1038/s41598-022-22043-0

Magnetic skyrmions are topological spin structures that naturally emerge in magnetic materials. While a vast amount of effort has gone into the study of their properties, their counterpart of opposite topological charge, the anti-skyrmion, has not re... Read More about Simulating anti-skyrmions on a lattice.

Collider events on a quantum computer (2022)
Journal Article
Gustafson, G., Prestel, S., Spannowsky, M., & Williams, S. (2022). Collider events on a quantum computer. Journal of High Energy Physics, 2022(11), Article 35. https://doi.org/10.1007/jhep11%282022%29035

An intuitive definition of the partonic flavor of a jet in quantum chromodynamics is often only well-defined in the deep ultraviolet, where the strong force becomes a free theory and a jet consists of a single parton. However, measurements are perfor... Read More about Collider events on a quantum computer.

Quantum optimization of complex systems with a quantum annealer (2022)
Journal Article
Abel, S., Blance, A., & Spannowsky, M. (2022). Quantum optimization of complex systems with a quantum annealer. Physical Review A, 106(4), https://doi.org/10.1103/physreva.106.042607

We perform an in-depth comparison of quantum annealing with several classical optimization techniques, namely, thermal annealing, Nelder-Mead, and gradient descent. The focus of our study is large quasicontinuous potentials that must be encoded using... Read More about Quantum optimization of complex systems with a quantum annealer.

New Higgs decays to axion-like particles (2022)
Journal Article
Biekötter, A., Chala, M., & Spannowsky, M. (2022). New Higgs decays to axion-like particles. Physics Letters B, 834, Article 137465. https://doi.org/10.1016/j.physletb.2022.137465

We investigate the interactions of a light scalar with the Higgs boson and second-generation fermions, which trigger new rare decays of the Higgs boson into 4μ, 2μ2γ , 6μ and 4μ2 j. We recast current LHC searches to constrain these decays and develop... Read More about New Higgs decays to axion-like particles.

Quantum walk approach to simulating parton showers (2022)
Journal Article
Bepari, K., Malik, S., Spannowsky, M., & Williams, S. (2022). Quantum walk approach to simulating parton showers. Physical Review D, 106(5), https://doi.org/10.1103/physrevd.106.056002

This paper presents a novel quantum walk approach to simulating parton showers on a quantum computer. We demonstrate that the quantum walk paradigm offers a natural and more efficient approach to simulating parton showers on quantum devices, with the... Read More about Quantum walk approach to simulating parton showers.

A duality connecting neural network and cosmological dynamics (2022)
Journal Article
Krippendorf, S., & Spannowsky, M. (2022). A duality connecting neural network and cosmological dynamics. Machine Learning: Science and Technology, 3(3), https://doi.org/10.1088/2632-2153/ac87e9

We demonstrate that the dynamics of neural networks (NNs) trained with gradient descent and the dynamics of scalar fields in a flat, vacuum energy dominated Universe are structurally profoundly related. This duality provides the framework for synergi... Read More about A duality connecting neural network and cosmological dynamics.

Coloring mixed QCD/QED evolution (2022)
Journal Article
Gellersen, L., Prestel, S., & Spannowsky, M. (2022). Coloring mixed QCD/QED evolution. SciPost Physics, 13(2), https://doi.org/10.21468/scipostphys.13.2.034

Parton showers are crucial components of high-energy physics calculations. Improving their modelling of QCD is an active research area since shower approximations are stumbling blocks for precision event generators. Naively, the interference between... Read More about Coloring mixed QCD/QED evolution.

Completely quantum neural networks (2022)
Journal Article
Abel, S., Criado, J. C., & Spannowsky, M. (2022). Completely quantum neural networks. Physical Review A, 106(2), Article 022601. https://doi.org/10.1103/physreva.106.022601

Artificial neural networks are at the heart of modern deep learning algorithms. We describe how to embed and train a general neural network in a quantum annealer without introducing any classical element in training. To implement the network on a sta... Read More about Completely quantum neural networks.

IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection (2022)
Journal Article
Atkinson, O., Bhardwaj, A., Englert, C., Konar, P., Ngairangbam, V. S., & Spannowsky, M. (2022). IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection. Frontiers in Artificial Intelligence, 5, Article 943135. https://doi.org/10.3389/frai.2022.943135

Anomaly detection through employing machine learning techniques has emerged as a novel powerful tool in the search for new physics beyond the Standard Model. Historically similar to the development of jet observables, theoretical consistency has not... Read More about IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection.

Secluded dark matter in gauged B − L model (2022)
Journal Article
Bandyopadhyay, P., Mitra, M., Padhan, R., Roy, A., & Spannowsky, M. (2022). Secluded dark matter in gauged B − L model. Journal of High Energy Physics, 2022(5), Article 182. https://doi.org/10.1007/jhep05%282022%29182

We consider the gauged B − L model which is extended with a secluded dark sector, comprising of two dark sector particles. In this framework the lightest Z2-odd particle is the dark matter candidate, having a feeble interaction with all other SM and... Read More about Secluded dark matter in gauged B − L model.

Anomaly detection in high-energy physics using a quantum autoencoder (2022)
Journal Article
Ngairangbam, V. S., Spannowsky, M., & Takeuchi, M. (2022). Anomaly detection in high-energy physics using a quantum autoencoder. Physical Review D, 105(9), Article 095004. https://doi.org/10.1103/physrevd.105.095004

The lack of evidence for new interactions and particles at the Large Hadron Collider (LHC) has motivated the high-energy physics community to explore model-agnostic data-analysis approaches to search for new physics. Autoencoders are unsupervised mac... Read More about Anomaly detection in high-energy physics using a quantum autoencoder.

Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models (2022)
Journal Article
Alvarez, E., Spannowsky, M., & Szewc, M. (2022). Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models. Frontiers in Artificial Intelligence, 5, Article 852970. https://doi.org/10.3389/frai.2022.852970

The classification of jets induced by quarks or gluons is important for New Physics searches at high-energy colliders. However, available taggers usually rely on modeling the data through Monte Carlo simulations, which could veil intractable theoreti... Read More about Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models.

High energy lepton colliders as the ultimate Higgs microscopes (2022)
Journal Article
Banerjee, S., Gupta, R. S., Ochoa-Valeriano, O., & Spannowsky, M. (2022). High energy lepton colliders as the ultimate Higgs microscopes. Journal of High Energy Physics, 2022(2), Article 176. https://doi.org/10.1007/jhep02%282022%29176

We study standard electroweak/Higgs processes at the high-energy lepton colliders ILC and CLIC. We identify a subset of three operators in the SMEFT that give leading contributions to these processes at high energies. We then perform a ‘high-energy f... Read More about High energy lepton colliders as the ultimate Higgs microscopes.

Energy-weighted message passing: an infra-red and collinear safe graph neural network algorithm (2022)
Journal Article
Konar, P., Ngairangbam, V. S., & Spannowsky, M. (2022). Energy-weighted message passing: an infra-red and collinear safe graph neural network algorithm. Journal of High Energy Physics, 2022(2), Article 60. https://doi.org/10.1007/jhep02%282022%29060

Hadronic signals of new-physics origin at the Large Hadron Collider can remain hidden within the copiously produced hadronic jets. Unveiling such signatures require highly performant deep-learning algorithms. We construct a class of Graph Neural Netw... Read More about Energy-weighted message passing: an infra-red and collinear safe graph neural network algorithm.

Landscaping CP-violating BSM scenarios (2022)
Journal Article
Das Bakshi, S., Chakrabortty, J., Englert, C., Spannowsky, M., & Stylianou, P. (2022). Landscaping CP-violating BSM scenarios. Nuclear Physics B, 975, https://doi.org/10.1016/j.nuclphysb.2022.115676

We consider a wide range of UV scenarios with the aim of informing searches for CP violation at the TeV scale using effective field theory techniques. We demonstrate that broad theoretical assumptions about the nature of UV dynamics responsible for C... Read More about Landscaping CP-violating BSM scenarios.