  This article aims to bring quantum computing to robotics. A quantum algorithm
is developed to minimize the distance travelled in warehouses and distribution
centres where order picking is applied. For this, a proof of concept is
proposed through a Raspberry Pi 4, generating a quantum combinatorial
optimization algorithm that saves the distance travelled and the batch of
orders to be made. In case of computational need, the robot will be able to
parallelize part of the operations in hybrid computing (quantum + classical),
accessing CPUs and QPUs distributed in a public or private cloud. Before this,
we must develop a stable environment (ARM64) inside the robot (Raspberry) to
run gradient operations and other quantum algorithms on IBMQ, Amazon Braket,
D'wave and Pennylane locally or remotely. The proof of concept will run in such
quantum environments above.
