Coherent quantum memory is the critical resource that enables efficient stabilizer state testing; without sufficient memory, testing becomes as hard as learning, requiring linear in n copies instead of a constant number.
This paper studies how to test and learn quantum stabilizer states when algorithms can only keep a limited number of qubits in quantum memory between measurements.