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Training neural networks with universal adiabatic quantum computing (2024)
Journal Article
Abel, S., Criado, J. C., & Spannowsky, M. (2024). Training neural networks with universal adiabatic quantum computing. Frontiers in Artificial Intelligence, 7, Article 1368569. https://doi.org/10.3389/frai.2024.1368569

The training of neural networks (NNs) is a computationally intensive task requiring significant time and resources. This article presents a novel approach to NN training using adiabatic quantum computing (AQC), a paradigm that leverages the principle... Read More about Training neural networks with universal adiabatic quantum computing.

Charting the free energy landscape of metastable topological magnetic objects (2024)
Journal Article
Criado, J. C., Hatton, P. D., Lanza, Á., Schenk, S., & Spannowsky, M. (2024). Charting the free energy landscape of metastable topological magnetic objects. Physical Review B, 109(19), Article 195114. https://doi.org/10.1103/physrevb.109.195114

Chiral magnets with Dzyaloshinskii-Moriya interactions feature a rich phase diagram with a variety of thermodynamical phases. These include helical and conical spin arrangements and topologically charged objects such as (anti)Skyrmions. Crucially, du... Read More about Charting the free energy landscape of metastable topological magnetic objects.

Quantum fitting framework applied to effective field theories (2023)
Journal Article
Criado, J. C., Spannowsky, M., & Kogler, R. (2023). Quantum fitting framework applied to effective field theories. Physical Review D, 107(1), Article 015023. https://doi.org/10.1103/physrevd.107.015023

The use of experimental data to constrain the values of the Wilson coefficients of an effective field theory involves minimizing a χ2 function that may contain local minima. Classical optimization algorithms can become trapped in these minima, preven... Read More about Quantum fitting framework applied to effective field theories.

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.

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.

Electroweak skyrmions in the HEFT (2021)
Journal Article
Criado, J. C., Khoze, V. V., & Spannowsky, M. (2021). Electroweak skyrmions in the HEFT. Journal of High Energy Physics, 2021(12), Article 26. https://doi.org/10.1007/jhep12%282021%29026

We study the existence of skyrmions in the presence of all the electroweak degrees of freedom, including a dynamical Higgs boson, with the electroweak symmetry being non-linearly realized in the scalar sector. For this, we use the formulation of the... Read More about Electroweak skyrmions in the HEFT.

A complete effective field theory for dark matter (2021)
Journal Article
Criado, J. C., Djouadi, A., Pérez-Victoria, M., & Santiago, J. (2021). A complete effective field theory for dark matter. Journal of High Energy Physics, 2021(7), https://doi.org/10.1007/jhep07%282021%29081

We present an effective field theory describing the relevant interactions of the Standard Model with an electrically neutral particle that can account for the dark matter in the Universe. The possible mediators of these interactions are assumed to be... Read More about A complete effective field theory for dark matter.

Confronting spin-3/2 and other new fermions with the muon g-2 measurement (2021)
Journal Article
Criado, J. C., Djouadi, A., Koivunen, N., Müürsepp, K., Raidal, M., & Veermäe, H. (2021). Confronting spin-3/2 and other new fermions with the muon g-2 measurement. Physics Letters B, 820, https://doi.org/10.1016/j.physletb.2021.136491

The new measurement of the muon's anomalous magnetic moment released by the Muon g-2 experiment at Fermilab sets strong constraints on the properties of many new particles. Using an effective field theory approach to the interactions of higher-spin f... Read More about Confronting spin-3/2 and other new fermions with the muon g-2 measurement.

Higher-spin particles at high-energy colliders (2021)
Journal Article
Criado, J. C., Djouadi, A., Koivunen, N., Raidal, M., & Veermäe, H. (2021). Higher-spin particles at high-energy colliders. Journal of High Energy Physics, 2021(5), Article 254. https://doi.org/10.1007/jhep05%282021%29254

Using an effective field theory approach for higher-spin fields, we derive the interactions of colour singlet and electrically neutral particles with a spin higher than unity, concentrating on the spin-3/2, spin-2, spin-5/2 and spin-3 cases. We compu... Read More about Higher-spin particles at high-energy colliders.

Dark matter of any spin: An effective field theory and applications (2020)
Journal Article
Criado, J. C., Koivunen, N., Raidal, M., & Veermäe, H. (2020). Dark matter of any spin: An effective field theory and applications. Physical Review D, 102(12), Article 125031. https://doi.org/10.1103/physrevd.102.125031

We develop an effective field theory of a generic massive particle of any spin and, as an example, apply this to study higher-spin dark matter (DM). Our formalism does not introduce unphysical degrees of freedom, thus avoiding the potential inconsist... Read More about Dark matter of any spin: An effective field theory and applications.