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UID:pretalx-juliacon-2026-YRYY9T@pretalx.com
DTSTART;TZID=CET:20260813T084500
DTEND;TZID=CET:20260813T094500
DESCRIPTION:Quantum computing progress depends as much on software as on ha
 rdware. In this keynote\, we’ll start with a practical view of how high-
 quality code supports the development and use of quantum devices—through
  simulation\, compilation\, verification\, benchmarking\, and control. We'
 ll also stress the value of state of the art classical methods to delineat
 e where a quantum computer is genuinely required\, versus where well-desig
 ned classical software is the right (and often faster) choice. We will the
 n zoom in on PauliPropagation.jl\, a Julia package we have been developing
  for efficiently simulating quantum circuits. We will outline the core abs
 tractions and implementation details in the package\, and what problems it
  is meant to make easy. A central thread will be "why Julia". Beyond perfo
 rmance\, Julia lets us offer a fully extensible package with custom gates\
 , data structures\, and evolving types. We’ll end with an honest account
  of building Julia tools as a scientist: what has worked well\, what has b
 een surprisingly hard\, and what we have learned about presenting research
  software to a community that often defaults to Python expectations.
DTSTAMP:20260710T083544Z
LOCATION:Tent — RW1
SUMMARY:Julia For Quantum Software: Lessons from PauliPropagation.jl - Zoë
  Holmes\, Manuel Rudolph
URL:https://pretalx.com/juliacon-2026/talk/YRYY9T/
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