VQC.jl

Introduction:

VQC is an open source framework that can simulate variational quantum circuits and used for quantum machine learning tasks.

• Simple but powerful. VQC supports any single-qubit, two-qubit, three-qubit gate operations, as well as measurements. The same quantum circuit can be used as variational quantum circuits almost for free.

• Everything is differentiable. Not only the quantum circuit, the quantum state itself is also differentiable, almost without any changing of code. In most of the cases, user can write a very complex expression built on top of the quantum circuit and the quantum state, and the whole expression will be differentiable.

• Flexiable operations on quantum gates and quantum circuits. Quantum circuit and quantum gates suport operations such as adjoint, transpose, conjugate, shift to make life easier when building very complex circuits.

• Zygote as backend for auto differentiation. VQC use Zygote as backend for auto differentiation.

Todo list;

• Change the documentations
• Compute expectation value on density matrix
• AD for density matrix related operations
• Support for general quantum channel operation on density matrix