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Research: Dual Superfluidity Observed in a Ferromagnetic Ultracold Gas

Homogeneous spinor Bose gas and easy-plane ferromagnetic properties. Reproduced from Prüfer, M., Spitz, D., Lannig, S. et al. (2022), Nature Physics, Fig. 1. For details about panels (a) to (e), please refer to the caption in this publication.

STRUC­TURES scientists have experimentally demonstrated twofold superfluidity and dynamical thermalization in an ultracold ferromagnetic spinor Bose gas of Rubidium atoms.

Bose-Einstein condensates form an ideal ground to explore dynamical phenomena emerging in the many-body limit. Due to their rich internal structure spinor condensates give rise to intricate symmetry breaking and superfluidity features. Superfluids can flow without dissipation and are an example of a macroscopic system dominated by quan­tum physics. The equilibrium state of the spin-1 gas at ultralow temperatures exhibits a dual condensate in the “easy-plane” ferromagnetic phase. This is a form of matter in which all atoms show phase coherence over the whole extent of the system in both density and spin. The direct observation of this dual state has previously been challenging due to access to only short timescales or limited experimental control. In a recent experiment carried out by the group of Markus Oberthaler at the Kirchhoff Institute for Physics (KIP) in collaboration with Daniel Spitz and Jürgen Berges from the Institute of Theo­re­ti­cal Physics (ITP) it has been prepared and thoroughly probed for the first time. The quan­tum gas could be stored long enough to observe the system’s evolution towards its equilibrium state, as well as to demonstrate the emergence of long-range coherence and spin-superfluidity. The new methods and results are an important step towards understanding quan­tum many-body dynamics and thermalization in large magnetic spin systems.

Link to the associated publication in Nature Physics:

Prüfer, M., Spitz, D., Lannig, S. et al. Condensation and thermalization of an easy-plane ferromagnet in a spinor Bose gas. Nat. Phys. (2022). https://doi.org/10.1038/s41567-022-01779-6.

Research: Ma­chine Learning Meets Quan­tum Simulation

Artistic view of a neural network interacting with a quan­tum spin system. This image was generated by the artificial intelligence DallE2.

Summary by Tobias Schmale, Moritz Reh and Martin Gärttner:
Quan­tum simulators solve quan­tum many-body problems that are hard to simulate on classical computers due to the exponential increase of computational cost with the number of simulated particles. This exponential hardness also hits when performing quan­tum tomography, which means fully characterizing the prepared quan­tum states. Ma­chine learning inspired variational approaches may overcome this challenge by restricting the manifold of trial states among which the experimentally prepared state is searched. The trick is to find structures inherent to the physical problem the simulator tries to solve, and to use these to create a compressed state representation, just like e.g. in image compression methods. In [1] we demonstrated that this method leads to a scalable tomography scheme using convolutional neural networks. We considered various experimentally relevant scenarios where we generated synthetic measurement data numerically. Working towards deploying this method on real experimental data, we recently applied it to an experiment creating entangled photon pairs [2]. A unique extension, that was possible thanks to collaborations within STRUC­TURES, is the use of neuromorphic hardware. Optimizing the parameters of an analog neuromorphic chip we demonstrated the encoding of Bell states [3] and quan­tum ground states [4].

Associated Literature:

  1. T. Schmale, M. Reh, M. Gärttner. Efficient quan­tum state tomography with convolutional neural networks. NPJ Quan­tum Information 8, 115 (2022).
  2. M. Neugebauer, L. Fischer, A. Jäger, S. Czischek, S. Jochim, M. Weidemüller, M. Gärttner. Neural-network quan­tum state tomography in a two-qubit experiment. Phys. Rev. A 102, 042604 (2020).
  3. S. Czischek, A. Baumbach, S. Billaudelle, B. Cramer, L. Kades, J. M. Pawlowski, M. K. Oberthaler, J. Schemmel, M. A. Petrovici, T. Gasenzer, M. Gärttner. Spiking neuromorphic chip learns entangled quan­tum states. SciPost Phys. 12, 39 (2022).
  4. R. Klassert, A. Baumbach, M. A. Petrovici, M. Gärttner. Variational learning of quan­tum ground states on spiking neuromorphic hardware. iScience 25(8), 104707 (2022).

Honorary Doctorate for Theo­re­ti­cal Physicist Sally Dawson, Special Lecture on Oct 13

Sally Dawson

In recognition of her outstanding scientific achievements in the field of Theo­re­ti­cal Physics, Dr Sally Dawson is to be awarded the honorary doctorate of the Combined Faculty of Mathematics, Engineering and Natural Sciences of Hei­del­berg Uni­ver­si­ty. The Faculty is paying tribute to her contributions, particularly to the discovery and physics of the Higgs Boson. Dr Dawson, researcher at the Brookhaven National Laboratory, has had close connections for many years with the elementary particle re­search community in Germany, and Hei­del­berg in particular.

The honorary doctorate will be presented by Rector Prof Dr Bernhard Eitel at an award ceremony on Thursday (Oct 13) at 6 pm in the Great Hall of the Old Uni­ver­si­ty (Alte Aula). The laudatory address will be given by STRUC­TURES member Prof Dr Jürgen Berges, Dean of Hei­del­berg's Physics & Astronomy Department. Dr Dawson will then give the “Hans Jensen Lecture” on the topic “Why Study Particle Physics? Tackling the Big Questions”. The lecture series commemorates Hans Jensen, a Hei­del­berg researcher in the field of Theo­re­ti­cal Physics who received the Nobel Prize in 1963.

For more information, see also Hei­del­berg Uni­ver­si­ty's press release.

49th Hei­del­berg Physics Graduate Days Oct 10-14, 2022

The 49th Hei­del­berg Physics Graduate Days of the Hei­del­berg Graduate School for Physics (HGSFP) take place on October 10 - 14, 2022. With the Graduate Days, co-organised by STRUC­TURES, the HGSFP offers advanced students and researchers a biannual spring/autumn school featuring different topics from various fields of physics. Participants are encouraged to broaden their perspective in physics by attending introductory courses on topics that are unfamiliar to them, or deepen their knowledge by attending specific courses that may be offered at a deeper level. Courses are held in English.

The schedule and further information can be found on the Graduate Days Website.

Young Scien­tist Retreat FI EMS from Nov 24 to 26, 2022

Click the image to open the poster as PDF.

The Flagship Initiative: Engineering Molecular Systems (FI EMS) invites all PhDs and PostDocs working in the field of Engineering Molecular Systems at Hei­del­berg Uni­ver­si­ty (and its partner institutions) to their young scien­tist retreat at Trifels on November 24th – 26th 2022. There will be a scientific program with talks and posters as well as some time for social activities. Registration is open until October 10th.

Further information:

Special Talk by Prof Avi Wigderson (Abel Prize winner 2021) on “Randomness - the Utility of Unpredictability”, September 19, 3:00 pm

Avi Wigderson | Image © IAS

We are delighted to announce that Prof. Avi Wigderson (IAS, Princeton, Abel prize winner 2021) will give a talk with the title Randomness - the Utility of Unpredictability on Monday, Sep 19, 3 pm at INF 230 (Großer Hörssal). The talk is aimed to a general audience, in particular to staff and students in physics, computer science and mathematics. After the talk, there is some time for questions to and chatting with the speaker.

Title: Randomness - the Utility of Unpredictability
Abstract: Is the universe inherently deterministic or probabilistic? Perhaps more importantly - can we tell the difference between the two? Humanity has pondered the meaning and utility of randomness for millennia. There is a remarkable variety of ways in which we utilize perfect coin tosses to our advantage: in statistics, cryptography, game theory, algorithms, gambling... Indeed, randomness seems indispensable!
Which of these applications survive if the universe had no randomness in it at all? Which of them survive if only poor-quality randomness is available, e.g. that arises from "unpredictable" phenomena like the weather or the stock market? A computational theory of (pseudo)randomness, developed in the past decades, reveals (perhaps counter-intuitively) that very little is lost in such deterministic or weakly random worlds. In the talk I'll explain the main ideas and results of this theory.
No special background will be assumed.
Host: Felix Joos

Avi Wigderson is a widely recognized authority in the diverse and evolving field of theo­re­ti­cal computer science. His main re­search area is computational complexity theory. Together with László Lovász, Avi Wigderson was awarded the prize 2021 for their striking contributions to Theo­re­ti­cal Computer Science and Discrete Mathematics. The Abel prize is together with the fields medal arguably the most prestigious award in mathematics.

YRC STRUC­TURES Conference Oct 4-7 2022: Register now

Poster (PDF, 1.2 MB)

The registration for the YRC STRUC­TURES Conference 2022 closes soon. You can still register until September 7th via this link.
The YRC STRUC­TURES Conference, which takes place from October 4 to 7 in Neuenheimer Feld, will bring together young and senior members of the cluster. It is the first and only such event which allows all cluster and YRC (Young Researchers Convent) members to meet in person and discuss your ongoing re­search within the cluster. We look forward to engaging overview talks contributed by the cluster PIs, exciting talks by YRC members presenting their re­search and newest results within the cluster, fruitful discussions during poster sessions and lunch talks from exciting new start-ups.

For further information, please see also the conference web page.


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