Release: 1.2.2.dev13+g9e7d7b4.d20230201 (Feb 01, 2023)
The core of QuantumFlow is a simulation of a gate based quantum computer, which can run on top of modern optimized tensor libraries (e.g. numpy or tensorflow). The tensorflow backend can calculate the analytic gradient of a quantum circuit with respect to the circuit’s parameters, and circuits can be optimized to perform a function using (stochastic) gradient descent.
Contents:
OperationOperation.HOperation.aschannel()Operation.asgate()Operation.cv_argsOperation.cv_interchangeableOperation.cv_qubit_nbOperation.decompose()Operation.evolve()Operation.float_param()Operation.nameOperation.on()Operation.param()Operation.paramsOperation.qubit_indices()Operation.qubit_nbOperation.qubitsOperation.resolve()Operation.rewire()Operation.run()Operation.specialize()Operation.tensorOperation.tensor_diagonal