Quantum solutions to optimization problems

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 30-minute presentation, 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.

0:00 Introduction
3:09 Examples of optimization problems
7:15 Quantum algorithms for optimization
17:34 Quantum Algorithm Design
21:01 Demonstration