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.
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.
Unified platform for hybrid quantum-classical computing
HPCHybrid computing+1 more
An open-source platform integrating QPUs, GPUs, and CPUs for hybrid quantum-classical computing. Enables QPU-agnostic development and offers GPU-accelerated simulations.
Simulate large, noisy, and parametric quantum circuits rapidly using a parallelized C++/Python library with GPU acceleration and built-in noise models.
Numerical tools for quantum information theory research
Quantum Information
Provides numerical tools for quantum information theory research, analyzing states, channels, measurements, entanglement, and nonlocal games. Supports researchers and educators.
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.
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.