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DTSTAMP:20260827T065818Z
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DTSTART:20260915T160000
DTEND:20260915T173000
DESCRIPTION:Performing large-scale\, accurate quantum simulations of many-f
 ermion systems is a central challenge in quantum science\, with applicatio
 ns in chemistry\, materials science\, and high-energy physics. This can be
  approached using either native fermionic simulators or qubit-based quantu
 m computers\, each with distinct advantages and limitations. While the lat
 ter can simulate more general models\, generic fermionic algorithms incur 
 a significant space-time overhead compared with native fermions\, scaling 
 as O(N) for N fermionic modes.\n\n \n\nIn the first part of the talk\, I w
 ill present a method for faster fermionic simulation on qubit devices with
  non-local connectivity\, such as neutral-atom arrays\, reducing the asymp
 totic space-time overhead to O(log N) in the worst case and O(1) for circu
 its with additional structure [1]. These techniques include the fermionic 
 fast Fourier transform and enable efficient state preparation and Hamilton
 ian simulation of materials and molecules. In the second part\, I will dis
 cuss how\, while these results tightly bound the computational gap between
  fault-tolerant qubit and fermionic hardware\, native fermions offer impor
 tant advantages in the near term. In particular\, I will show how recent e
 xperimental advances allow to operate cold-atom systems as programmable de
 vices capable of running advanced quantum algorithms\, overcoming key limi
 tations of the standard analog approach\, as illustrated by quantum phase 
 estimation [2].\n\n \n\n[1] arXiv:2509.08898 (2025)\n\n[2] arXiv:2511.0443
 4 (2025)
LOCATION:ETH Zürich\, Hönggerberg HPF G 6
ORGANIZER:Daniel González-Cuadra
SUMMARY:Simulating fermionic matter on quantum devices: from fermions to qu
 bits and back
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