Algorithms Beyond Binary: From Grover to QAOA

Quantum computing does not become powerful because qubits exist—it becomes powerful because algorithms think differently. Algorithms Beyond Binary: From Grover to QAOA dives into the new computational logic that emerges when problems are no longer confined to classical, binary thinking.
This book is centered on ideas, not hardware. It explains how quantum algorithms reshape problem-solving by exploiting superposition, interference, and probabilistic outcomes. Readers are guided from foundational algorithms like Grover’s search to modern hybrid approaches such as QAOA, with emphasis on *why* these methods work and *when* they matter.
Rather than treating algorithms as abstract math, the book frames them as tools shaped by problem structure. It highlights how quantum algorithms trade certainty for speed, approximation for scalability, and determinism for advantage—revealing a fundamentally different computational mindset.
Readers will explore:
• How quantum algorithms differ from classical logic
• Why Grover’s algorithm changed search complexity
• How variational and hybrid algorithms emerged
• What makes QAOA practical on near-term devices
• How algorithm choice defines real-world usefulness
This book is for readers who want to understand quantum computing at the level where insight lives—in algorithms, not announcements. If you care about *how* quantum systems think, this book is where that understanding begins.