Weizsäcker-Zentrum Universität Tübingen
Weizsäcker-Zentrum Universität Tübingen
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Roberto Giuntini - Machine Learning meets Quantum Mechanics
Recorded as part of the CFvW Colloquium on July 11, 2024
Machine Learning meets Quantum Mechanics - Prof. Dr. Roberto Giuntini, University of Cagliari und Technical University of Munich
Talk abstract:
Research in the broad area of pattern recognition, machine learning, and quantum computing has inspired new ideas about some important general problems that arise in several disciplines, including information theory (classical and quantum), logic, cognitive science and neuroscience, and philosophy.
One of the fundamental questions that these disciplines often face is the following: How are abstract concepts formed and recognized on the basis of
previous (natural or artificial) experiences? This problem has been studied, with a variety of methods and tools, both in the context of human intelligence and artificial intelligence.In this seminar, the problem will be addressed within the framework of machine learning and quantum computing.
Machine learning can be defined as the art and science of making computers learn from data how to solve problems (or recognize and classify new objects) without being explicitly programmed. Quantum computing describes the processing of information using tools based on the laws of quantum theory. Today, we are witnessing a dramatic explosion of data, and the problem of extracting and recognizing only "useful information" from these data is crucial but extremely resource consuming. On the other hand, quantum computing has shown that there exist quantum algorithms that allow a formidable acceleration in solving problems that, in their current state, would require exponential times. The realization of the so-called noisy intermediate-scale quantum (NISQ) computers is now a reality. Therefore, the combination of machine learning and quantum computing appears inevitable. This "marriage" is favored by the fact that one of the fundamental features of quantum theory is that it can deal with incomplete information in a particularly natural and efficient way, a feature that is of primary importance in machine learning. The approach that I will present in this seminar (called Quantum-Inspired Machine Learning) consists of formally translating the process of (supervised) classification of (classical) machine learning by using the formalism of quantum theory in such a way that the resulting classification algorithms can be implemented on non-necessarily quantum computers. In particular, I will address the problem of binary classification of classical datasets, presenting a classifier (called the Helstrom Quantum Classifier (HQC), based on the Helstrom protocol, which is used to distinguish between two quantum states (mathematically represented by density matrices). HQC acts on density matrices, which, in our model, encode the patterns of a classical dataset. Experimental benchmark results show that, in many cases, the accuracy of HQC is superior to that of many classical classifiers. Finally, we will show how the improvement in HQC performance is positively correlated with the increase in the number of "quantum copies" of each (encoded) classical pattern.
Explore our colloquium schedule on our website: uni-tuebingen.de/forschung/zentren-und-institute/carl-friedrich-von-weizsaecker-zentrum/news-und-events/carl-friedrich-von-weizsaecker-kolloquium/
มุมมอง: 65

วีดีโอ

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ความคิดเห็น

  • @ericoberheim1224
    @ericoberheim1224 2 หลายเดือนก่อน

    If your having trouble sleeping

  • @exalted_kitharode
    @exalted_kitharode 4 หลายเดือนก่อน

    Great!

  • @fightForYourExistence
    @fightForYourExistence 5 หลายเดือนก่อน

    Unter 20 Jahren alt stand ich an intern. Mathe Kongressen mit Lorenzen und Wand Tafel Kreide vorne im Wettstreit 😊

  • @leonmills3104
    @leonmills3104 7 หลายเดือนก่อน

    Dr. Guus Eelink the key point in your approach is that you take "true for Socrates" to somehow involve in being the truth maker and if this is the case then this somehow entails an absolute truth,however even if you grant this interpretation it's not going to exclude the view that truth makers themselves are relative ,that is your interpretation is compatible with a view that takes reality/world to be relative so I don't think your interpretation seems to work.

  • @pastoriepad
    @pastoriepad 8 หลายเดือนก่อน

    Ondanks het Engels, subiet herkend als Guus, door ook Marianne. Mooi accent trouwens. Maar is het probleem ook niet dat mensen "ongeschoold", niet voldoende onderlegd" zijn op bepaalde vlakken en dat ze maar net genoeg zijn opgeleid om te geloven wat ze hebben geleerd, gehoord, of wat ze verteld is (en door welke autoriteit) Maar eigenlijk niet genoeg onderlegd zijn, om te twijfelen, te beargumenteren aan wat ze hebben geleerd, gehoord of hetgeen aan ze verteld is geweest? 🤔🫢.

  • @erikaguerkan626
    @erikaguerkan626 9 หลายเดือนก่อน

    Man merkt, dass er philosoph ist. 😉

  • @michaelrahnfeld8538
    @michaelrahnfeld8538 ปีที่แล้ว

    ???

  • @valentinussofa4135
    @valentinussofa4135 ปีที่แล้ว

    Great lecture that answer New York Times' article in 2015 by Claire Cain Miller. Thank you very much🙏

  • @LaureanoLuna
    @LaureanoLuna ปีที่แล้ว

    Thanks for uploading tbhis interesting talk. At about 11:00, in mentioning problems with definiteness in the metatheory, it would perhaps be convenient to make explicit reference to the problems surrounding full second order semantics,

  • @andreasbikfalvi7484
    @andreasbikfalvi7484 ปีที่แล้ว

    I have many objections to this point of view. The examples given at the end are strange. Women scientists have contributed significantly to science but respecting the scientific method, Meitner, Godall etc you name it. Look on science how it is done in reality in the lab or in the field. Would be the structure of DNA be different if women would have discovered it ? , what about the cell theory, the cardiovacular system ?, I can go on and on. This is Ivory tower theorizing. Sorry.

    • @animadverte
      @animadverte 5 หลายเดือนก่อน

      I would suggest you to learn something more about it. There are indeed several specific examples of scientific discoveries that where prevented by male scientists being the majority in a field and made possible by female scientists. Famous examples are from primatology and medicine. Some extreme feminist views are indeed non sense (and the point hardly extend to theoretical physics or mathematics), but Longino's is hardly one of them, and the examples are easily found in textbook introductions.

  • @emperorzurg7258
    @emperorzurg7258 2 ปีที่แล้ว

    I don't really see the point... It looks like a recontextualised proof that Yablo's paradox is actually.. a paradox..

  • @1330m
    @1330m 2 ปีที่แล้ว

    Protagoras and Mozi have been forgotten for 2,000 years in the history of world thought similarily. It was not until the 19th century that their original value was recognized and revived, and it was phenomenal to have a profound meaning. Jeremy Bentham and Nietzsche are the revivers of Protagoras Wang Niansun and Sūn Yíràng are the revivers of Mozi.

  • @romanbesel4759
    @romanbesel4759 2 ปีที่แล้ว

    Cool lecture series! One doesnt find too much introductions to HoTT on the internet.

  • @animaniacsfan2
    @animaniacsfan2 2 ปีที่แล้ว

    If you had an algorithm A(F, n) to determine whether a statement F was provable in n symbols, would running A(F, n) and demonstrating it output "true" constitute a proof of the statement "F is provable in n symbols"? Would it constitute a proof of F itself? (I understand it may not, because showing a statement is provable is different than showing it is true.) What about showing that A(F, k*n) outputs true, where F is a formula for which A(F, n) is false? If this program trace can be encoded as a proof in less than n symbols, we would have a contradiction, because we would have proven F in less than n symbols but shown that it is impossible to prove in less than n symbols. Perhaps this can be used to put a bound on the complexity of running A(F, k*n).

  • @retrojimmyx
    @retrojimmyx 2 ปีที่แล้ว

    Prof Sloman was my favourite lecturer when I was at Birmingham (AI). I treasured every opportunity to converse with him.

  • @epistemologoebrio
    @epistemologoebrio 2 ปีที่แล้ว

    Muy bueno!

  • @emilianosorrentino5104
    @emilianosorrentino5104 2 ปีที่แล้ว

    Sono fiero di te Doc!

  • @dietergrafen7560
    @dietergrafen7560 2 ปีที่แล้ว

    Klaus Mainzer bringt hoch-komplexe Themen durch interdisziplinäre Sichtweise auch für den Nicht-Spezialisten sehr gut auf den Punkt

  • @ShannonJacobs0
    @ShannonJacobs0 2 ปีที่แล้ว

    Not the most exciting delivery, but the content is quite interesting. Been a sort of fan of Godel ever since reading GEB many years ago. Several more books I was reading mentioned him just this year, but these years most often I've seen him mentioned in connection with Godel's Loophole. Now I wonder if Godel left any notes on that topic that are out there waiting to be discovered...

  • @armiaization
    @armiaization 2 ปีที่แล้ว

    Very interesting!

  • @meltcollective5249
    @meltcollective5249 3 ปีที่แล้ว

    Another questions is: why are we trying so hard to make squirrel-proof birdfeeders? Why is it we want the birds but not the squirrels? Loved the talk Professor Sloman! Thank you for this diverse line of questioning about biology, mathematics, philosophy.

    • @JimBalter
      @JimBalter ปีที่แล้ว

      Because birds are pretty and interesting whereas squirrels are not, and a given amount of bird seed attracts a lot of birds whereas a few squirrels can quickly consume it.

  • @kine2903
    @kine2903 3 ปีที่แล้ว

    Sismondo is epic, my dudes.

  • @t.brickenhacker4929
    @t.brickenhacker4929 3 ปีที่แล้ว

    Super Vortrag!! Toll so einer koryphäe zuhören zu dürfen.