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"The circuit defines a tensor network representation. By default, the initial state is the `|0...0>` state (represented by the \"zero qubit\" operations labeled \"Q0\" in the legend. \"Q1\" are single qubit operations and \"Q2\" are two qubit operations. The open legs are the indices into the state vector and are of the form \"i{m}_q{n}\" where `m` is the time index (given by the returned `qubit_frontier` dictionary) and \"n\" is the qubit string."
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"The circuit defines a tensor network representation. By default, the initial state is the `|0...0>` state (represented by the \"zero qubit\" operations labeled \"Q0\" in the legend. \"Q1\" are single qubit operations and \"Q2\" are two qubit operations. The open legs are the indices into the state vector and are of the form \"i{m}_q{n}\" where `m` is the time index (given by the returned `qubit_frontier` dictionary) and \"n\" is the qubit string.\n",
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"\n",
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"Note: this notebook relies on unreleased Cirq features. If you want to try these features, make sure you install cirq via `pip install cirq --pre`."
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