1 INTRODUCTION

2 QUANTUM-INSPIRED MACHINE LEARNING

3 SELECTION CRITERIA

4 CURRENT QIML TECHNIQUES

5 QIML IN PRACTICE

6 PARALLELS BETWEEN QIML MODELS AND CONVENTIONAL CLASSICAL MODELS

7 AVAILABLE RESOURCES FOR QIML IMPLEMENTATION

8 OPEN ISSUES

9 CONCLUSION