Compare BIOVIA TURBOMOLE vs. Classiq

BIOVIA TURBOMOLE is an advanced software package for quantum chemistry that specializes in ab initio electronic structure calculations for a variety of systems, including molecules, clusters, periodic structures, and solutions. Originally developed at the University of Karlsruhe and Forschungszentrum Karlsruhe GmbH, the package is currently managed by TURBOMOLE GmbH, which has expanded its capabilities to include a wide range of computational methods such as density functional theory (DFT), Møller–Plesset perturbation theory, coupled-cluster techniques, and GW-Bethe–Salpeter approaches. It stands out for its ability to provide precise predictions related to chemical reactions, spectroscopy, and simulations of optical devices. Key features include optimization of reaction pathways, searches for transition states, and the modeling of solvation effects through COSMO-RS. Additionally, its spectroscopic tools cover various techniques such as IR, Raman, VCD, UV-Vis, and vibronic spectra, while simulations of optical properties are enhanced by sophisticated methods for spin-orbit coupling and relativistic all-electron calculations. This powerful software thus serves as an essential resource for researchers aiming to explore complex chemical systems and their properties.

Classiq is a platform for quantum computing software that streamlines the creation, enhancement, analysis, and execution of quantum algorithms. It effectively converts high-level functional models into optimized quantum circuits, enabling users to swiftly design circuits with varying qubit counts, such as 100, 1,000, or even 10,000, which can be executed on any gate-based system or cloud provider. The platform provides a comprehensive environment for quantum application development, fostering internal expertise and the creation of reusable quantum intellectual property. Classiq's Quantum Algorithm Design platform automates the intricate task of translating high-level functional models into optimized quantum circuits, making it easier to design and code at a higher level of abstraction. Users are thus empowered to concentrate on the "what" of their algorithm, while the system automatically generates the "how," producing a circuit that fulfills the required functionality and adheres to system limitations. This innovative approach not only enhances efficiency but also allows for greater creativity in quantum algorithm design.