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The application of Integrated quantum photonic circuits to quantum photonics, [1] is seen as an important step in developing useful quantum technology. Single die photonic circuits offer the following advantages over bulk optics: Miniaturisation - Size, weight, and power consumption are reduced by orders of magnitude by virtue of smaller system ...
Unlike electronic integration where silicon is the dominant material, system photonic integrated circuits have been fabricated from a variety of material systems, including electro-optic crystals such as lithium niobate, silica on silicon, silicon on insulator, various polymers, and semiconductor materials which are used to make semiconductor lasers such as GaAs and InP.
The system of finite linear optical elements constructs a network of linear optics, which can realize any quantum circuit diagram or quantum network based on the quantum circuit model. Quantum computing with continuous variables is also possible under the linear optics scheme. [4]
Quantum processors are difficult to compare due to the different architectures and approaches. Due to this, published physical qubit numbers do not reflect the performance levels of the processor. This is instead achieved through the number of logical qubits or benchmarking metrics such as quantum volume , randomized benchmarking or circuit ...
Quantum circuit algorithms can be implemented on integrated circuits, conducted with instrumentation, or written in a programming language for use with a quantum computer or a quantum processor. With quantum processor based systems, quantum programming languages help express quantum algorithms using high-level constructs. [ 1 ]
Therefore, the quantum dot is an emitter of single photons. A key challenge in making a good single-photon source is to make sure that the emission from the quantum dot is collected efficiently. To do that, the quantum dot is placed in an optical cavity. The cavity can, for instance, consist of two DBRs in a micropillar (Fig. 1).
Quantum circuit that performs Bell decoding. Bell states are sometimes called EPR pairs. Notice that the circuit that decodes the Bell state is the adjoint to the circuit that encodes, or creates, Bell states (described above). A helpful example of quantum measurement in the Bell basis can be seen in quantum computing.
Among the first proposals of utilizing resource states for optical quantum computing was the Yoran-Reznik protocol in 2003. [4] While the proposed resource in this protocol was not exactly a cluster state, it brought many of the same key concepts to the attention of those considering the possibilities of optical quantum computing and still required connecting multiple separate one-dimensional ...