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Optimal Stabilizer Testing and Learning with Limited Quantum Memory
computational-complexitydata-structures-and-algorithmsinformation-theorymachine-learningquantum-physics
We study stabilizer state testing and learning with limited coherent quantum memory. Here an algorithm sequentially receives copies of an unknown $n$-qubit state, but may keep only $k$ qubits of coherent quantum memory between measurements. With unrestricted memory, seminal work of Gross, Nezami and
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