Figure 1 (IMAGE)
Caption
Overview of compilation-based quantum process tomography (CQPT). The left panel shows the main idea: an unknown quantum process transforms an input state into an output state, and CQPT uses a trainable "compiler" to learn the process by forcing the final state to return to the original input. The right panels illustrate two implementations of CQPT: a Kraus-based approach for unitary or near-unitary processes, and a Choi-based approach for general noisy processes.
Credit
©Le Bin Ho et al.
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