A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
Our tq2qiskit and qiskit2tq conversions currently do not have full support for converting between qiskit and torchquantum circuits. In this task, we need your help adding new features to these operations. For example, a place to start can be allowing TQ’s qiskit2tq to parse Qiskit’s ParameterExpression.
Our tq2qiskit and qiskit2tq conversions currently do not have full support for converting between qiskit and torchquantum circuits. In this task, we need your help adding new features to these operations. For example, a place to start can be allowing TQ’s qiskit2tq to parse Qiskit’s ParameterExpression.