In this talk I will review phase diagram of nuclear matter. Different temperature--density regimes will be discussed: low temperature--law density, low temperature--high density, high temperature—low density, and high temperature-- high density. Focus will be made on role of collective medium effects and possibilities of various phase transitions. Information from experiments and...
Physical questions can be obscured by basis redundancies. We discuss reparametrization invariants in the scalar sector of the general Two-Higgs-Doublet Model (2HDM). These invariants form a polynomial ring, with variables corresponding to a finite generating set. We derive six-loop renormalization group equations (RGEs) for all invariants in this set. Notably, our approach does not involve...
Computational Fluid Dynamics (CFD) serves as a powerful virtual laboratory for simulating and analysing complex fluid flow phenomena. By discretising the equations of fluid motion, CFD enables researchers, physicists, and engineers to model fluid behaviour in various areas such as astrophysics, nuclear physics, plasma physics, atmospheric physics and more. The talk will give an overview of...
A question of the optimal configuration of a finite number of particles in a plane has been a difficult problem of both physics and mathematics for many centuries. Back in 1611, Kepler posed already the question of why a snowflake has perfect hexagonal symmetry [1]. At present, increased interest in the problem of the optimal configuration in a plane is also due to the development of...
The spatial inhomogeneity kr in the electromagnetic wave and the magnetic component in it lead to non-separability of the variables of the electron and the center-of-mass in the hydrogen atom interacting with the laser pulse, and, as a consequence, to the acceleration of the atom [1,2]. We have shown that the influence of the laser polarization on the excitation, ionization and...
Quantum Simulation, the emulation of quantum system dynamics with quantum computers, is an
application of quantum computing which showcases a clear advantage over classical computing. This
advantage arises from the inherent difficulty in simulating quantum dynamics on classical systems, a
challenge that originally inspired Feynman and others to propose quantum computing.
The efficient...
Calculations of the probability densities and energies of the ground states for α-cluster nuclei ${}^{12}$C (3α), ${}^{16}$O (4α), ${}^{20}$Ne (5α), ${}^{24}$Mg (6α), ${}^{28}$Si (7α) and for nuclear
molecules ${}^{9}$Be (2α + n), ${}^{10}$Be (2α + 2 n), ${}^{10}$B (2α + n + p), ${}^{10}$C(2α + 2 p), ${}^{11}$B(2α + 2 n + p), ${}^{11}$C(2α + n + 2 p) were performed by the...
Quantum Computing promises to solve specific classes of problems exponentially faster than any possible classical counterpart. However, testing this result in real life requires a large-scale universal error-correcting fault-tolerant quantum computer, which has not yet been built. We live in the age of noisy intermediate-scale quantum computers (NISQ) with several hundreds of noisy qubits. One...
