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SUMMARY:James Keeble\, "Topical Seminar: Neural Quantum States for Nuclei:
  Testing the Limits of Classical Computing"
DTSTART;VALUE=DATE-TIME:20260427T100000Z
DTEND;VALUE=DATE-TIME:20260427T113000Z
DTSTAMP;VALUE=DATE-TIME:20260418T213849Z
UID:indico-event-8557@indico.ific.uv.es
DESCRIPTION:\nIn this talk\, I will discuss the application of so-called N
 eural Quantum States\, which use machine-learning techniques to represent 
 quantum many-body wave functions. These approaches have been shown to repr
 esent tensor-network states and states with volume-law entanglement effici
 ently. However\, the key property underlying the limitations of Neural Qua
 ntum State techniques remains an open question.\nWithin quantum informatio
 n theory\, among all possible unitary transformations that can be applied 
 to an \nN-qubit state\, there exists a subgroup known as the Clifford unit
 aries. Although these transformations can generate entanglement\, they are
  entirely classically simulable and therefore provide no quantum advantage
 . As a result\, quantifying the non-stabilizerness of a given computationa
 l approach is important for assessing its expressibility in representing a
 rbitrary quantum many-body states.\nI will focus in particular on recent r
 esults highlighting the limitations of Neural Quantum States in representi
 ng the ground-state wave functions of atomic nuclei in the nuclear shell m
 odel within variational Monte Carlo calculations\, thereby testing the lim
 its of classical computing in strongly correlated quantum systems.\n\nhttp
 s://indico.ific.uv.es/event/8557/
LOCATION:Universe 1001-Primera-1-1-1 - Paterna. Seminario
URL:https://indico.ific.uv.es/event/8557/
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