Geometric and topological methods play an increasingly important role in quantum information science and quantum computation. Beyond the conventional Hilbert space formalism, a variety of mathematical frameworks, including group representations, mapping class groups, modular tensor categories, and character varieties, have been proposed to describe quantum states and quantum gates in a structurally robust manner. This review surveys the development of topological and geometric approaches to quantum information, with particular emphasis on representations of fundamental groups into SL(2,C), their associated character varieties, and the algebraic surfaces arising from trace coordinates, such as Fricke and Cayley cubic surfaces. These structures provide a geometric encoding of quantum degrees of freedom and offer alternative perspectives on topological quantum computing beyond anyon-based models. We also examine connections with integrable systems and isomonodromic deformations, where Painlevé equations and monodromy data supply a dynamical viewpoint on quantum state evolution. A critical comparison is provided with other geometric and topological approaches to quantum information, including geometric quantum mechanics, information geometry, tensor network geometry, and category-theoretic formulations. By synthesising results from topology, algebraic geometry, and mathematical physics, this review aims to clarify the conceptual landscape of topological quantum information geometry and to identify open problems and emerging directions in the field.