The package also aims for a more general way of defining control problems with QuTiP and makes switching between the four control algorithms (GOAT, JOPT, and GRAPE and CRAB implemented in qutip-qtrl) very easy.
The qutip-qip package, QuTiP quantum information processing, aims at providing basic tools for quantum computing simulation both for simple quantum algorithm design and for experimental realization.
Simulate open quantum systems dynamics efficiently. Supports various Hamiltonians, time-dependence, and applications in quantum optics, superconducting circuits, and more.
Simulate large, noisy, and parametric quantum circuits rapidly using a parallelized C++/Python library with GPU acceleration and built-in noise models.
Bridge quantum physics formalisms to classical code
High-level Quantum ProgrammingQuantum Algorithms
QCL is a high-level, architecture-independent quantum programming language with syntax like C/Pascal, enabling full algorithm implementation and simulation.
Build and train quantum neural networks with a cloud-integrated platform. Offers easy-to-use APIs, comprehensive tutorials, toolkits for chemistry/optimization, and large-scale simulation.
Enable research in mixed-dimensional qudit computing
Quantum CircuitsQuantum Information
Provides a framework for mixed-dimensional qudit quantum computing. Supports research and education in this area. Available via pip for easy installation.
MQT DDVis - An installation-free web-tool which visualizes quantum decision diagrams and allows to explore their behavior when used in design tasks such as simulation, synthesis, or verification.