Polskie Towarzystwo Fizyczne Oddział Kraków

19/11/2025

Zapraszamy na Konwersatorium - czwartek 20 listopada 2025 r. o godz. 16:00. Stacjonarnie! WFAIS UJ sala A-1-06

10/09/2025

04/09/2025

https://www.ptf.net.pl/sites/default/files/PF/PF_3_2023_39.pdf

12/06/2025

Najbliższe Konwersatorium Fizyczne OK PTF odbędzie się w najbliższy czwartek 12 czerwca 2025 r. o godzinie 16:15 w Sali A-1-06 Wydziału FAIS na III Kampusie UJ (ul. Łojasiewicza 11, 30-348 Kraków).

Dr Agnieszka Stępniak (Instytut Fizyki, Uniwersytet Marii Curie-Skłodowskiej w Lublinie) wygłosi referat pt: „ Silicen – kuzyn grafenu: oczekiwania a rzeczywistość”.

Streszczenie:
Silicen, czyli dwuwymiarowa odmiana krzemu, budzi rosnące zainteresowanie jako nowy materiał funkcjonalny. Dzięki obecności stożków Diraca w widmie elektronowym oraz możliwości integracji z istniejącą technologią krzemową, postrzegany jest jako obiecujący kandydat do zastosowań w nowoczesnej elektronice, spintronice, czy technologiach czujnikowych.

Mimo ogromnego potencjału, droga do praktycznych aplikacji jest pełna wyzwań: od trudności w stabilizacji wolnej warstwy silicenu po silne oddziaływania z podłożem, które mogą zaburzać jego właściwości. W wystąpieniu przedstawię ogólny przegląd badań nad silicenem, perspektywy jego wykorzystania oraz wyzwania, które wciąż stoją przed jego pełnym wdrożeniem. Pokażę również wybrane wyniki eksperymentalne.
Serdecznie zapraszamy!

16/05/2025

Najbliższe Konwersatorium Fizyczne OK PTF odbędzie się w najbliższy czwartek 22 maja 2025 r. o godzinie 16:15 w formie zdalnej, poprzez platformę MS Teams.

Prof. Maciej Lewenstein (The Institute of Photonic Sciences, Mediterranean Technology Park, Castelldefels, Spain) wygłosi referat pt: „ Physics is One”.

Streszczenie:
In my talk I will try to connect the research lines of the ten Nobel Prize winners, expected at the ICTP-LINCEI conference, which i attend in the end of May. My presentation will not follow chronology, but rather possible thematic connections and interplays. So, I will cover Bell correlations (A. Aspect), Bose-Einstein physics (E. Cornell, W. Ketterle), asymptotic freedom (D. Gross), laser cooling and frequency combs (T. Hänsch), topological order (D. Haldane), quantum jumps in single particle systems (S. Haroche), attosecond physics (A. L’Huillier). Neural networks and machine learning (G. Parisi), and laser cooling (W. Phillips). I might include comments about research lines of some to-be-Nobels.

Link do spotkania: Join the meeting now
Meeting ID: 391 360 709 330 1
Passcode: pg3Un9Lv

Serdecznie zapraszamy!

06/05/2025

Najbliższe Konwersatorium Fizyczne OK PTF odbędzie się w czwartek 8 maja 2025 r. wyjątkowo o godzinie 12:15 w sali A-1-13 Wydziału FAIS na III Kampusie UJ (ul. Łojasiewicza 11, 30-348 Kraków).

Prof. Tomas Löfwander (Department of Microtechnology and Nanoscience – MC2, Chalmers University of Technology, SE-41296 Göteborg, Sweden) wygłosi referat:„ Competition between phase crystal order and ferromagnetism at edges of d-wave superconductors”.

Streszczenie:
During numerical simulations of d-wave superconducting grains [1], a phase transition into an unusual phase now called phase crystal was serendipitously discovered [1-4]. Below the transition temperature T*, roughly a fifth of the superconducting transition temperature Tc, time-reversal symmetry as well as translational invariance are broken along edges that are misaligned with respect to the main crystallographic ab-axes. The mechanism behind the phase transition is a lowering of the free energy through Doppler shifts of zero-energy Andreev surface states when a superflow pattern with alternating superflow on the scale of a few coherence lengths appears along the edge. However, taking into account electron-electron interactions within Fermi liquid theory, a competing ferromagnetic phase may appear with spin-split Andreev states [5]. We will give an overview of this interesting example of competing order in unconventional superconductors and also briefly discuss the simulation tools developed the last few years to solve the quasiclassical Eilenberger equations, including a recently released open-source GPU-code [6], as well as a new solution strategy based on finite element methods [7].

[1] M. Håkansson, T. Löfwander, and M. Fogelström, Nature Physics 11, 755 (2015).

[2] P. Holmvall, A.B. Vorontsov, M. Fogelström, and T. Löfwander, Nature Communications 9, 2190 (2018).

[3] P. Holmvall, M. Fogelström, T. Löfwander, and A. B. Vorontsov, Phys. Rev. Research 2, 013104 (2020).

[4] D. Chakraborty, T. Löfwander, M. Fogelström, and A. M. Black-Schaffer, npj Quantum Materials 7, 44 (2022).

[5] K. M. Seja, N. Wall Wennerdal, T. Löfwander, and M. Fogelström, Phys. Rev. B 110, 064502 (2024).

[6] P. Holmvall, N. Wall Wennerdal, M. Håkansson, P. Stadler, O. Shevtsov, T. Löfwander, and M Fogelström, Appl. Phys. Rev. 10, 011317 (2023).

[7] K. M. Seja and T. Löfwander, Phys. Rev. B 106, 144511 (2022).

Serdecznie zapraszamy!

04/12/2024

Najbliższe Konwersatorium Fizyczne OK PTF odbędzie się w najbliższy czwartek 5 grudnia 2024 r. o godz. 16:15 w Sali A-1-06 Wydziału FAIS na III Kampusie UJ (ul. Łojasiewicza 11, 30-348 Kraków).

Dr Piotr Sierant (Barcelona Supercomputing Center) wygłosi referat: „ Quantum Dynamics: From Many-Body Localization to Quantum Advantage”.

Streszczenie:
The exact classical representation of a pure quantum state for a system of N constituents, such as qubits, requires a number of parameters that scales exponentially with N. As a result, operating a quantum device with a sufficiently large number of qubits may become intractable for classical computers -- a foundational principle behind quantum simulators and quantum computers. These devices may achieve quantum advantage by outperforming classical computers in specific computational tasks. However, computing quantum many-body dynamics with classical computers is only at most exponentially hard in N, and many problems possess structures that can be exploited to accelerate classical calculations.
In this talk, I will argue that understanding non-equilibrium phenomena in quantum many-body systems, such as quantum ergodicity, many-body localization or measurement-induced phase transitions, is required to identify dynamical regimes where quantum dynamics can be efficiently simulated on classical computers. I will also discuss why extensive entanglement, non-stabilizerness, and nonGaussianity are necessary conditions for achieving quantum advantage and comment on their practical relevance to experiments with quantum devices

Serdecznie zapraszamy!

03/11/2024

Najbliższe Konwersatorium Fizyczne OK PTF odbędzie się w najbliższy czwartek 7 listopada 2024 r. o godz. 16:15 w Sali A-1-06 Wydziału FAIS na III Kampusie UJ (ul. Łojasiewicza 11, 30-348 Kraków).
Prof. Włodzisław Duch (Uniwersytet Mikołaja Kopernika w Toruniu) wygłosi referat:„Nobel Prize in Physics 2024: Nobilitation of Neural Networks”.

Streszczenie:
The 2024 Nobel Prizes in Physics and Chemistry highlight the pivotal role of neural networks in scientific advancement. John Hopfield’s foundational work is deeply rooted in statistical physics, tracing back to the Lenz-Ising model of ferromagnetism (1925), with subsequent developments of Ising model dynamics by R. Glauber, models of spin glasses and non-ergodic systems. All this contributed to complex systems theory and the emergence of self-organizing associative memory systems, as explored by S. Amari (1972) and J. Hopfield (1982, 1984), who connected these concepts to statistical physics. Despite their simplicity, these systems form multiple local states, exhibiting non-ergodic computational irreducibility. In "A New Kind of Science" (2002) S. Wolfram argued that there is no shortcut to understand the behavior of complex systems.
Geoffrey Hinton, a cognitive scientist, pioneered the methods to learn internal representations of information in complex networks, contributing to backpropagation algorithms (1986) and deep learning advancements (2015). This trajectory has spurred remarkable progress in machine learning, including the advent of physics-informed machine learning (PIML). From these theoretical foundations, great advancements in artificial intelligence, exemplified by AlphaGo’s triumph over world champions in Go by 2017, have emerged. This has been achieved by AlphaGo system developed by DeepMind, founded by Demis Hassabis, a computational neuroscientist. His idea was to combine insights from systems neuroscience, machine learning, and computing hardware to "solve intelligence" and apply it to a variety of complex challenges. It led to significant breakthroughs, such as the AlphaFold series of programs that effectively addressed a 50-year challenge in biophysics by predicting 3D protein structures with high accuracy from their 1D amino acid sequences.
The implications for science are profound: we now possess tools to tackle complex systems that are computationally irreducible. Recent developments indicate that large multimodal models can demonstrate creativity in generating novel solutions to scientific problems. Furthermore, the evolution of multi-agent systems points toward the potential for universal general intelligenceThis year's Nobel Prizes should prompt us to reflect on the transformative wave of machine learning methods shaping our scientific landscape.

28/06/2024

Badamy czarne dziury, startujemy z misją kosmiczną, testujemy nasz autorski tomograf, żonglujemy kryształami... czasowymi. A Ty jaką masz supermoc? 😊

25/06/2024

Nagroda im. Franka Wilczka za badania nad kryształami czasowymi
Dr Krzysztof Giergiel został laureatem 3. edycji prestiżowej Nagrody im. Franka Wilczka. Jury nagrodziło go za przełomowe osiągnięcia w dziedzinie kryształów czasowych - obszaru badań zainicjowanego przez samego Franka Wilczka.

https://www.uj.edu.pl/wiadomosci/-/journal_content/56_INSTANCE_d82lKZvhit4m/10172/156366528

25/06/2024

Prof. Karol Życzkowski z Wydział Fizyki, Astronomii i Informatyki Stosowanej UJ laureatem ERC Advanced Grant! Serdecznie gratulujemy! 💐

Projekt "Typical and Atypical structures in quantum theory (TAtypic)" profesora Życzkowskiego dotyczy mechaniki kwantowej, a w szczególności struktur, które mogą być istotne dla rozwoju teorii informacji kwantowej oraz technologii kwantowych. Głównym jego celem jest zbadanie własności typowych stanów i kanałów kwantowych, a także identyfikacja wyróżnionych struktur o ekstremalnych własnościach, przydatnych do przetwarzania informacji kwantowej.
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Professor Karol Życzkowski from the Faculty of Physics, Astronomy, and Applied Computer Science at the Jagiellonian University has been awarded the ERC Advanced Grant! Congratulations! 💐

The project titled "Typical and Atypical Structures in Quantum Theory (TAtypic)" focuses on quantum mechanics, specifically examining structures that could be significant for the development of quantum information theory and quantum technologies. The main objective is to study the properties of typical quantum states and channels and to identify distinctive structures with extreme properties that are useful for processing quantum information.

24/06/2024

Najbliższe Konwersatorium Fizyczne OK PTF odbędzie się w najbliższy czwartek 27 czerwca 2024 r. o godz. 16:15 w Sali A-1-06 Wydziału FAIS na III Kampusie UJ (ul. Łojasiewicza 11, 30-348 Kraków).
Prof. Eduard Llobet (Uniwersytet Rovira i Virgili) wygłosi referat: „Introduction to chemoresistive gas sensors and some results using transition metal dichalcogenides as sensing material”.

Streszczenie:
Year by year, gas sensors have known tremendous developments in terms of sensing materials, size, power consumption and fabrication costs. They are becoming indispensable items in the monitoring of indoor and outdoor toxic gases, and thus play an increasing role in environmental monitoring, air quality control or in safety and security applications. Recently, two-dimensional (2D) transition metal dichalcogenide (TMDs) have been identified as worth-exploring gas-sensitive nanomaterials. In this seminar I will start by introducing chemoresistive gas sensing and then report the bottom-up synthesis of pure and metal oxide loaded TMDs and present the study of their morphology and composition. I will finalise by presenting and discussing their gas sensing properties and sensing mechanisms.