Editing Quantum machine learning (section)

==Solutions from distributed quantum computing==
Fortunately, there exists a solution coined as blind quantum computing, which can be achieved by connecting the quantum computer to a quantum communication network. In this setup, it is well-known that quantum programs can be efficiently and securely delegated to the server. The server then runs an encrypted version of the program and returns the answer without learning the computation it is running.

In the classical setting, this task is known as homomorphic encryption. Surprisingly, the quantum version is much more efficient than the classical one, and only induces a minor overhead on the computation as long as a quantum communication channel allows the client to drive the computation remotely. Moreover, it only requires a very light client which can be built with currently existing technology, and a conversion from the qubits used for transport to the qubits used for computing.

While blind quantum computing is often recognized as a killer-feature for quantum networks, we want to stress that it also fits well with the planned development of quantum computers and quantum networks. Quantum computers will be expensive and probably mutualized through HPC facilities accessible to multiple users. Creating quantum communication networks between those users and the facility will bring security for the algorithms.