11 Unveiling intelligence: exploring variational quantum circuits as machine learning models

Hardik Dhiman
Maheshwar Dhiman

Abstract

Quantum computing and machine learning (ML) are merging in novel ways, thanks to variational quantum circuits (VQCs). This chapter explores VQCs, fundamentals, various applications, and notable outcomes. VQCs show how quantum computing and ML will address complicated problems in the future. Encoding difficult issues into quantum states and optimizing them to find solutions rapidly is the foundation of VQCs. This parallelism-enhanced quantum technique could improve ML applications including natural language processing, drug discovery, and molecular simulations. VQCs easily integrate classical optimization ...

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