High‐Precision Automated Setting of Arbitrary Magnitude and Phase of Mach–Zehnder Interferometers for Scalable Optical Computing

Abstract Photonic technologies offer promising solutions to the power consumption, bandwidth constraints and latency limits of electronic hardware used in high‐performance computing and artificial intelligence. Recently, many studies have proposed and successfully demonstrated photonic accelerators based on integrated meshes of Mach–Zehnder interferometers (MZIs), enabling matrix‐vector multiplications directly in the optical domain. While being fast and energy efficient, these photonic architectures still struggle to get the required precision for such applications, because setting the complex coefficients of MZI tunable gates with a high accuracy is still an unsolved problem. This work demonstrates high‐precision automated setting and stabilization of MZI‐based optical gates with a resolution of 7.01 and 8.04 bits for the output power and phase, respectively. Demonstration is achieved on a multistage silicon photonic circuit comprising a coherent input vector generator, an MZI matrix‐vector multiplier, and a coherent receiver for phase measurement. The proposed control strategy can configure the MZIs to any desired working point, without any prior calibration or complex algorithm for the correction of hardware non‐idealities, and prevents the propagation of programming errors, thus allowing scalability toward optical processors of large size.

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Publication Details

Journal
Laser & Photonics Review
Published
2025-09-16
DOI
https://doi.org/10.1002/lpor.202500610
Citations
2
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
4.96

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article

High‐Precision Automated Setting of Arbitrary Magnitude and Phase of Mach–Zehnder Interferometers for Scalable Optical Computing

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2 citations
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Neural Networks and Reservoir Computing
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article

High‐Precision Automated Setting of Arbitrary Magnitude and Phase of Mach–Zehnder Interferometers for Scalable Optical Computing

Francesco Morichetti, Potenzo Giannoccaro, Marco Sampietro, Andrea Melloni, Francesco Zanetto, Alessandro di Tria, Gabriele Cavicchioli, Giorgio Ferrari
article en
2 citations

Abstract

Abstract Photonic technologies offer promising solutions to the power consumption, bandwidth constraints and latency limits of electronic hardware used in high‐performance computing and artificial intelligence. Recently, many studies have proposed and successfully demonstrated photonic accelerators based on integrated meshes of Mach–Zehnder interferometers (MZIs), enabling matrix‐vector multiplications directly in the optical domain. While being fast and energy efficient, these photonic architectures still struggle to get the required precision for such applications, because setting the complex coefficients of MZI tunable gates with a high accuracy is still an unsolved problem. This work demonstrates high‐precision automated setting and stabilization of MZI‐based optical gates with a resolution of 7.01 and 8.04 bits for the output power and phase, respectively. Demonstration is achieved on a multistage silicon photonic circuit comprising a coherent input vector generator, an MZI matrix‐vector multiplier, and a coherent receiver for phase measurement. The proposed control strategy can configure the MZIs to any desired working point, without any prior calibration or complex algorithm for the correction of hardware non‐idealities, and prevents the propagation of programming errors, thus allowing scalability toward optical processors of large size.

Laser & Photonics ReviewVol. 20(2)
Politecnico di Milano (IT)
European Commission, Politecnico di Milano, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 5%
Neural Networks and Reservoir Computing
4.96
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