GEOSYM_QFT
Geometry and Symmetry in Quantum Field Theory
Scientific activities of the various Research Units
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)
KEYWORDS
Quantum spacetimes
Quantum group symmetries
Non-commutative geometry
Algebraic and Topological QFT
Geometrical methods in statistical physics and complex systems
Experimental evidence of physics beyond the standard model of elementary particles is still lacking, and a large debate has emerged for providing new theoretical scenarios that call into play at a deeper level the role of gravitational physics and spacetime geometry. We are experiencing more and more the predictive power of General Relativity both from the experimental point of view, witnessed by the results of the LIGO-VIRGO and of the Event Horizon Telescope, as well as from the theoretical side with a rich landscape of quantum gravity models that bear relevance to fundamental physics. A predictive power that keeps on highlighting the dual role that gravity plays in governing the universe at both the largest and the smallest scales.
Einstein’s General Relativity, Yang-Mills and String theory embody the time-honoured interplay between the advancement of physical knowledge and the application of increasingly sophisticated mathematical methods. This fruitful framework is also typical of the research project we wish to address. Its range of topics cover a rich variety of models based on standard (perturbative and non-perturbative) approaches to QFT on flat and curved spacetimes, as well as the analysis of fundamental interactions exploiting non-commutative geometry, quantum group symmetries, and geometric flows.
The mathematical background of the participants ranges from differential, algebraic and complex geometry, geometric analysis, geometric and algebraic topology, Poisson and non-commutative geometry, representation theory of Lie groups, Lie and Hopf algebras and their generalizations, up to functional analysis and PDE theory.
Although the core targets are framed within (classical and) quantum field theories –algebraic and topological QFTs, quantum gravity models, particle phenomenology, relativistic cosmology, statistical field theory- the competences of the participants spread also over topics such as non-equilibrium statistical mechanics, quantum many-body systems, quantum computing, and modeling of complex systems.
Firenze
Localization in Topological Field Theory: We plan to continue the study of the equivariant BV formalism. In the case of the AKSZ theory we introduced a general procedure for including the equivariant differential and studied the equivariant BV observables. Examples addressed so far include two dimensional topological Yang-Mills, Chern-Simons and Donaldson-Witten theory.
Shifted Poisson stacks: We intend to continue the study of Poisson structures on differentiable stacks and study several related aspects: the modular class for Poisson stacks and the implications of Morita equivalence in the study of generalized Kahler structures.
Generalized Kahler Structure: We plan to extend our computation of the Kahler potential for a toric generalized structure on CP_2 to more general toric manifolds.
Physics of cold atoms: we are currently studying the effects of PT invariant pseudo Hermitian Hamiltonians in transport phenomena.
Classical phase transitions: recently, the phase transition undergone by a 3D lattice gauge model in the absence of a global symmetry-breaking has been successfully described in a topological framework. We shall pursue the investigation of the deep origin of phase transitions by means of topological concepts and methods applied to the energy level sets in phase space.
Napoli
Spectral Action approach to the Standard Model. We plan to further study its symmetry, the finite mode (eigenvalue cutoff) regularization and its physical consequences.
Kappa-Minkowski NC spaces: We will study quantization/dequantization maps that act as a Mellin transform and its inverse, the associated star-product (a variant of the Moyal-Weyl one); in particular, whether the quantizer maps L2 functions into Hilbert-Schmidt operators, real functions into Hermitean operators. We will also study the curved momentum space of this theory, its symmetries for the variants of the commutation relations (space-, time-, or light-like).
Localizability in NC spaces and quantum reference frames. We will analyze the philosophical consequences of a NC ``pointless'' geometry, within the general interpretation of spacetime for general relativity and quantum gravity. We will speculate on the form of space(time) symmetry transformations involving changes of quantum reference frames.
Submanifolds in NCG. We wish to investigate in several frameworks (Drinfel’d twist deformation, fuzzy spaces,…) when the notion makes sense, its geometrical meaning, induced metric and curvature, possible physical applications (e.g as boundaries) to QFT or QG on NC spaces.
Fuzzy spaces. We will look for a fuzzy (finite-dimensional matrix) approximation of complex projective and (anti)-De Sitter spaces. We will further study our (recently introduced) fully O(d+1)-covariant fuzzy spheres SdΛ, construct those of dimensions d>2, build examples of QFT on them (with Λ as a UV cutoff), look for applications to condensed matter physics (e.g.quantum wires or graphene tubes/spheres, with systems of fermions/bosons on S1Λ, S2Λ) or quantum gravity (Λ might e.g. set a cutoff to the number of BMS charges associated to a black hole).
NC spaces with Lie algebra noncommutativity. We plan to study differential calculi, to develop gauge theories and to study the corresponding Yang-Mills equations on some types thereof.
Noncommutative gauge theory. We will proceed by a novel strategy, based on the conjecture that all well-defined NC gauge theory should be consistently constructed bootstrapping some starting commutative gauge theory by a noncommutative deformation, so as to complete some L-infinity algebra. In particular, studying the kappa-Minkowski noncommutativity within this formalism looks very promising.
K-theory of quantum spaces described by noncommutative C*-algebras. For its computation we plan to develop and use the theory of Waldhausen categories, in alternative to attempted NC generalizations of homotopy and model categories, and to apply it to quantum spaces obtained by "gluing" simpler spaces (multipullback). A related project is to study Yetter-Drinfeld cohomology of Hopf algebroids, which are a NC generalization of (functions on) groupoids.
QFT on spaces with boundaries: We plan on one hand to develop the general theory studying the eta invariant (which is closely related to the boundary Chern-Simons terms and the parity anomaly), on the other to look for applications of this QFT framework to real physical systems, such as Dirac materials and Weyl semi-metals.
Double and Generalised Geometries: our research will proceed in relation with invariance of string and field theories under T-duality. Both DG and GG provide the geometry of Double Field Theory, which in turn furnishes generalisations of Einsten-Hilbert action of GR. Poisson-Lie T-duality of sigma models and its formulation in terms of Drinfel'd doubles will be further analyzed.
Quantum information geometry. We plan to use NCG techniques (C*-algebras, etc.) to study vector fields on infinite dimensional Banach manifolds.
Deformed Canonical (Anti)Commutation Relations. We will study their connections with: i) non-unitary dynamics via pseudo-hermitian operators, with possible alternative definitions of probability transitions; ii) exactly solvable quantum Hamiltonians; iii) quons, truncated bosons, bicoherent and bisqueezed states. Motivated by the study of some dissipative quantum systems we will also explore extensions to a distributional setting of pseudo-bosonic ladder operators.
Pavia
Stochastic quantization and regularity structures: As first step we intend to provide an alternative and algorithmically less demanding approach to the existence of solutions of elliptic and parabolic stochastic PDEs. Moreover, we shall study the long time behaviour of these solutions in order to obtain an Euclidean quantum field theory.
Hadamard states on globally hyperbolic spacetimes with timelike boundaries: This line will be further improved to address arbitrary boundary conditions yielding a well-defined mixed boundary/Cauchy problem.
Unruh-de Witt detectors and Robin boundary conditions: We shall extend existing approaches so to better characterize the dependence of the detector response from the boundary data.
Non-linear sigma model, Renormalization Group and Ricci flow: The recent rigorous result on the geometric flow (RG-2 flow), associated with the 2-loop perturbative RG flow for the non-linear sigma model, has opened the way to the characterization of functionals which extend Perelman entropy to higher order and to address their physical applications.
Averaging procedures and cosmological backreaction: We plan in particular to address the “cosmographic” approach: the general strategy exploits a subtle connection between the spacetime geometry of the past light-cone and the scale-averaging on observational data.
Geometrical and topological methods in complex systems and data science: The simplicial category -used for discretized TFQT and quantum gravity models- provides an ideal arena to address geometrical and topological aspects of large data sets and complex systems. In particular we intend to carry out an analysis of the geometrical quantities built from discrete curvatures (such as Regge’s, and Forman’s) and discuss their computational complexity.
Theory and phenomenology of amorphous solids: The cellular model introduced in the last few years has been shown to described very well the observed phenomenology of real glasses. From the theoretical point of view, the program is to develop in full a theoretical description of the equilibrium thermodynamic of glass melting, by resorting in particular to a description in terms of topological excitations that destroy the cellular jammed solid.
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Salerno
Neutrino mixing in QFT and General Covariance: By considering role of neutrino mixing in the context of the decay of accelerated protons, we have found that the only setting compatible with a generally covariant formulation of QFT is the one based on flavor states. We plan to improve the study of neutrino oscillations in the Unruh radiation as well as the phenomenological implications of the condensate structure of the vacuum for flavor fields, in particular in connection with a possibile dynamical generation of fermion mixing.
GUP effects on QFT in flat and curved spacetimes: The possibility to test experimentally our predictions will be further discussed, in particular GUP (generalized uncertainty principle) effects on the Hawking and Unruh temperatures as well as corrections at the horizon scale of a black hole induced by GUP. Phenomenological applications of this have been considered in the astrophysical context and will be further investigated.
‘t Hooft deterministic quantization and gauge theories: We will continue on the study of 't Hooft quantization scheme, in particular gauge theories will be considered.
Entanglement for relativistic fermions: We have further investigated the effects of Lorentz boosts on the quantum correlations carried by a pair of massive spin-1/2 particles, by means of a formalism based on Dirac bispinors. The results will be applied to scattering processes, e.g. in QED.
Large deviations in statistical mechanics systems: We have studied large deviations in statistical mechanics systems. Numerical study will be further carried out for interacting systems, like active matter systems, which have applications also in biology.
Axion-photon mixing in QFT: We have analyzed axion--photon mixing in QFT and have shown that the condensate structure of the vacuum for mixed fields could provide an indirect proof of the existence of such mixing. We will further proceed along these lines of research.