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Further compactifying linear optical unitaries

B. A. Bell, I. A. Walmsley

2021APL Photonics40 citationsDOIOpen Access PDF

Abstract

Quantum integrated photonics requires large-scale linear optical circuitry, and for many applications, it is desirable to have a universally programmable circuit, able to implement an arbitrary unitary transformation on a number of modes. This has been achieved using the Reck scheme, consisting of a network of Mach–Zehnder interferometers containing a variable phase shifter in one path as well as an external phase shifter after each Mach–Zehnder. It subsequently became apparent that with symmetric Mach–Zehnders containing a phase shifter in both paths, the external phase shifters are redundant, resulting in a more compact circuit. The rectangular Clements scheme improves on the Reck scheme in terms of circuit depth, but it has been thought that an external phase-shifter was necessary after each Mach–Zehnder. Here, we show that the Clements scheme can be realized using symmetric Mach–Zehnders, requiring only a small number of external phase-shifters that do not contribute to the depth of the circuit. This will result in a significant saving in the length of these devices, allowing more complex circuits to fit onto a photonic chip, and reducing the propagation losses associated with these circuits. We also discuss how similar savings can be made to alternative schemes, which have robustness to imbalanced beam-splitters.

Topics & Concepts

Phase shift moduleRobustness (evolution)PhotonicsElectronic circuitScheme (mathematics)Path (computing)Topology (electrical circuits)Computer sciencePhase (matter)Integrated circuitAstronomical interferometerUnitary transformationElectronic engineeringOffset (computer science)InterferometryOptical pathAlgorithmTrue time delayUnitary stateTransformation (genetics)AdderPhysicsMathematicsNetwork analysisOptical switchVariable (mathematics)Circuit designPropagation delayPhotonic integrated circuitSilicon photonicsBinary numberPrinted circuit boardPhase responseNeural Networks and Reservoir ComputingOptical Network TechnologiesPhotonic and Optical Devices
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