Abstract: Systems and techniques that facilitate noise learning in dynamic quantum circuits are provided. In various embodiments, a system can learn noise associated with a mid-circuit non-unitary operation of a dynamic quantum circuit, by modifying the mid-circuit non-unitary operation with a probabilistic Pauli-Z gate and twirled Pauli operators.

Abstract: Systems, computer-implemented methods, and/or computer program products to facilitate noise characterization of a two-qubit unitary are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an execution component that executes a two-qubit quantum circuit comprising a preparation of an initial state for a two-qubit Pauli operator and an application of one or more circuit layers, wherein each circuit layer comprises an application of a pair of random gates each selected from I, X, Y or Z, application of the two-qubit unitary having a rotation angle modified to have a 50% probability of being each of positive and negative, and another application of the first random gate and the second random gate. A fitting component employs curve fitting of an expectation value resulting from the execution.

Abstract: According to an embodiment of the present invention, a method, system, and computer program product for preparing a CZ state for use in magic state distillation. The embodiment may include initializing a code state across data qubits. The embodiment may include measuring a CZ operator of the codes state on at least one ancilla qubit proximal to the data qubits. The embodiment may include performing additional quantum operations with the CZ state based on the measurement of the at least one ancilla qubit.