~/talk

Software for Quantum Computing- Easing Solutions for Complex

name:Hans Ehm
links:none on file
slides:none on file

Project QUEST builds an abstraction and tooling pipeline that decomposes industrial optimization into classical and quantum parts, maps subproblems onto parity QC architectures, and runs hybrid routines in a dedicated runtime while verifying results. Applied to semiconductor supply chains with thousands of bottlenecks and over a million daily order reconfirmations, teams downscale to prototypes (e.g., a COVID seating knapsack) and test simulators and quantum annealers—annealing finds correct small solutions but current hardware fails without optimization and error correction. Clever data structures reduce simulation footprints from ~32 GB to megabytes for practical verification.

AI-written summary · about

  1. 0:00Start
  2. 1:29We need Quantum Computation for SC-Semantically Coordinated Semiconductor Supply Chain
  3. 7:21First hands-on Knapsack Application ("Allocate desks") demonstrates the need for hardware and software improvements
  4. 9:09QC for solving industrial optimization problems
  5. 13:28Optimized interaction between quantum computers and classical systems
  6. 14:40Simulation and Verification
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