Authors: Florian Klug

Published on: December 21, 2023

Impact Score: 8.15

Arxiv code: Arxiv:2312.13636

Summary

• What is new: Recent surge in publications and interest in Quantum Optimization Algorithms (QOAs) for decision making.
• Why this is important: Understanding how QOAs can improve optimization in decision making over current algorithms.
• What the research proposes: Analysis of adiabatic and gate-based quantum algorithms to determine their potential and limitations.
• Results: Insight into quantum-based optimization techniques and implications for operations research from the advancement of QOAs.

Technical Details

Technological frameworks used:

Models used: Adiabatic optimization algorithms, Gate-based optimization algorithms

Data used:

Potential Impact

Operations research sectors, industries reliant on optimization for decision making, quantum computing companies.

Want to implement this idea in a business?

We have generated a startup concept here: QuantumDecision.