Quantum Solutions to Optimization Problems: Apr 22 Classiq webinar recording

Quantum computing offers innovative solutions to problems in optimization. Whether the need is to balance portfolios, optimize distribution routes, or numerous other optimization problems, quantum computing can help.

But sophisticated optimization models are difficult to capture using gate-based design tools.

Classiq offers a better way. Building on the same methods used to design billion-transistor chips, Classiq integrates high-level models and relevant constraints to create quantum designs that cannot be created otherwise. This results in a significantly simpler process, faster design, and much better circuits.

In this Webinar recording, a quantum computing expert from Classiq discusses and demonstrates how Classiq's Quantum Algorithm Design platform helps deliver the promise of quantum for optimization, showcasing novel solutions to these problems.

Intro: 00:00
What is optimization: 02:09
Quantum algorithms for optimization: 11:55
The Classiq platform: 20:19
Binary Knapsack problem demonstration: 23:05
Integer Knapsack problem demonstration: 31:20
Portfolio optimization demonstration: 34:07
Audience questions: 36:55
Summary: 42:15