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UID:pretalx-scipy-2026-SX9977@pretalx.com
DTSTART;TZID=CST:20260715T135500
DTEND;TZID=CST:20260715T142500
DESCRIPTION:Quantum computers promise to tackle strongly correlated molecul
 ar systems that defeat classical electronic-structure methods\, but realiz
 ing quantum utility depends on every stage of the pipeline\, not just the 
 quantum algorithm. QDK/Chemistry\, an open-source package in the Microsoft
  Quantum Development Kit\, treats this entire pipeline as a single\, modul
 ar Python framework. Immutable data classes and stateless algorithms with 
 fixed interfaces let researchers swap backends without changing applicatio
 n code. This talk introduces QDK/Chemistry's composable architecture\, sho
 ws how classical and quantum stages interoperate to minimize quantum resou
 rces\, and offers design patterns applicable beyond quantum computing.
DTSTAMP:20260715T023024Z
LOCATION:University Hall
SUMMARY:QDK/Chemistry: A Composable Python Toolkit for End-to-End Quantum C
 hemistry on Quantum Computers - David Williams-Young
URL:https://pretalx.com/scipy-2026/talk/SX9977/
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