IBM Introduces a New Qiskit Chemistry Module and Qiskit Gradients Framework to Make Application D...

IBM has introduced a revamped chemistry module and a new gradients module into Qiskit in an effort to make their quantum computers easier to use for people who understand their own application domain but are not quantum experts.  The Qiskit Chemistry module contains algorithms for calculating molecules’ electronic and vibronic structure, plus algorithmic primitives to serve as the building blocks for higher level applications.  The Qiskit Gradients framework provides an automated way of computing analytical gradients.  This is useful for quantum chemistry because many of the algorithms it uses are variational and involve classical and quantum computers working together to find parameters that minimize an objective function. This capability is useful not only for quantum chemistry applications but is also needed for quantum machine learning and other applications. For additional details on these new modules and their uses, you can view an article posted by IBM on Medium here.

November 4, 2020