  Recent proposals for building scalable quantum computational devices in
semi-conductor based spin qubits introduce shared control lines in order to
reduce the overhead of qubits controls. In principle, noises from the shared
controls could introduce correlated errors to multi-qubit gates, and
identifying them will be helpful for achieving higher gate fidelity in those
setups. Here, we introduce a method based on the randomized benchmarking
protocols that is capable of distinguishing among different correlated noises
in a particular two-qubit model motivated by the crossbar architecture.
