We analyze quantum algorithms for cloning of a quantum measurement. Our aim is to mimic two uses of a device performing an unknown von Neumann measurement with a single use of the device. When the unknown device has to be used before the bipartite state to be measured is available we talk about 1→2 learning of the measurement, otherwise the task is called 1→2 cloning of a measurement. We perform the optimization for both learning and cloning for arbitrary dimension d of the Hilbert space. For 1→2 cloning we also propose a simple quantum network that achieves the optimal fidelity. The optimal fidelity for 1→2 learning just slightly outperforms the estimate and prepare strategy in which one first estimates the unknown measurement and depending on the result suitably prepares the duplicate.
Cloning of a quantum measurement
BISIO, ALESSANDRO;D'ARIANO, GIACOMO;PERINOTTI, PAOLO;SEDLAK, MICHAL
2011-01-01
Abstract
We analyze quantum algorithms for cloning of a quantum measurement. Our aim is to mimic two uses of a device performing an unknown von Neumann measurement with a single use of the device. When the unknown device has to be used before the bipartite state to be measured is available we talk about 1→2 learning of the measurement, otherwise the task is called 1→2 cloning of a measurement. We perform the optimization for both learning and cloning for arbitrary dimension d of the Hilbert space. For 1→2 cloning we also propose a simple quantum network that achieves the optimal fidelity. The optimal fidelity for 1→2 learning just slightly outperforms the estimate and prepare strategy in which one first estimates the unknown measurement and depending on the result suitably prepares the duplicate.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.