This minisymposium aims to explore the emerging potential of continuous-variable quantum computing (CVQC) on photonic computers as a natural and scalable framework for advancing computational mechanics. Computational mechanics of practical fluids, solids, structures, and materials typically involves approximating solutions to nonlinear stiff partial differential equations (PDEs) in high dimensions. For practical applications on classical high performance computers today, reduced-order models are often employed for approximation, since high fidelity simulations (e.g., direct numerical simulation) are improbable. With emerging quantum computing technologies, efficient quantum algorithms for achieving high fidelity solutions to these PDEs are desirable. In particular, CVQC is a computational paradigm that utilizes systems with continuous spectra to encode and manipulate information. The infinite-dimensional Hilbert spaces of CVQC align with the functional spaces of PDEs, enabling direct representation of physical fields without spatial discretization. Unlike discrete qubit-based approaches, CVQC encodes information in continuous degrees of freedom—position and momentum of quantum modes—making it inherently suited for modeling the continuous fields that define fluid mechanics, solid mechanics, and multiphysics systems. These qumodes inherently encode continuous variables, such as field quadratures, enabling a more direct representation of continuous physical quantities such as fields. As a result, CVQC offers a promising route toward simulating nonlinear dynamics while greatly reducing the overall degree of discretization, thereby providing a computational framework that is much more closely aligned with the continuous nature of the underlying physics. The main objective of this minisymposium is to bring together researchers from quantum computing, applied mathematics, and computational physics to explore the emerging potential of CVQC as a potential powerful framework to advance simulations of high-dimensional systems in computational mechanics.