In a recent article published in The New Stack, Pedro Lopes from QuEra delves into the differences between quantum algorithms and quantum-inspired algorithms.
Quantum-inspired algorithms can be categorized into two types: (i) classical algorithms based on linear algebra methods, often known as tensor networks, and (ii) methods that use classical computers to emulate quantum behavior. While these quantum-inspired algorithms offer performance improvements in classical computing, they are not a substitute for real quantum computing solutions. The article suggests that organizations should carefully consider their goals when deciding between adopting quantum-inspired solutions or preparing for quantum computing. It also notes that new analog quantum computers are emerging that offer real quantum coherence and scale at hundreds of qubits, providing value in specific applications.
Read the full article here.