tfq.util.exponential | TensorFlow Quantum (original) (raw)
tfq.util.exponential
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Return a Cirq circuit with exponential operator forms.
tfq.util.exponential(
operators, coefficients=None
)
Used in the notebooks
| Used in the tutorials |
|---|
| Quantum data |
Construct an exponential form of given operators and coefficients. Operators to be exponentiated are specified in operators ascirq.PauliSum or cirq.PauliString. Parameters are given bycoefficients.
Note that only operators whose standard representations consist of terms which all commute can be exponentiated. This allows use of the identity exp(A+B+...) = exp(A)exp(B)... else there would need to be automatic handling of Trotterization and convergence, which is not supported yet.
| Args | |
|---|---|
| operators | Python list or tuple of cirq.PauliSum orcirq.PauliString objects to be exponentiated. Here are simple examples. Let q = cirq.GridQubit(0, 0) E.g. operator = 0.5 * X(q) -> exp(-i * 0.5 * X(q)) operator = 0.5 * cirq.PauliString({q: cirq.I}) -> exp(-i * 0.5)*np.eye(2) Be careful of the negation and the PauliString of the identity gate. |
| coefficients | (Optional) Python list of Python str, float orsympy.Symbol object of parameters. Defaults to None, then all coefficients of operators are set to 1.0. |
| Returns |
|---|
| A cirq.Circuit containing exponential form of given operatorsand coefficients. |
| Raises | |
|---|---|
| TypeError | If operators (or its terms) is/are of an invalid type. |
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Last updated 2024-05-17 UTC.