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2022-10-15
Solving Multivariable Equations with Tandem Metamaterial Kernels
By
Progress In Electromagnetics Research, Vol. 175, 139-147, 2022
Abstract
A fundamental building block in characterizing and tackling scientific and industrial questions boils down to the ability of quickly solving mathematical equations. However, with the ever-growing volume of information and unsustainable integration growth in electronic processors, a radically new modality for solving equations is highly imminent. Here, we introduce an electromagnetic counterpart to solve multivariable complex equations, where two metamaterialkernels are connected in series to form a closed-loop electromagnetic system. Complex-valued information is carried by electromagnetic fields, and the equation solution for arbitrary input signals can be recursively attained after a number of feedbacks. As an illustration, we present the capability of such system in solving eight complex equations, and inversely design two 4 × 4 metamaterialkernels by topology optimization, whose average element error is reduced to smaller than 10-4. Having accomplished all unknown coefficients with high fidelity, our work represents a conspicuous apparatus for a myriad of enticing applications in ultra-compact signal processing and neuromorphic computing.
Citation
Qingze Tan, Chao Qian, Tong Cai, Bin Zheng, and Hongsheng Chen, "Solving Multivariable Equations with Tandem Metamaterial Kernels," Progress In Electromagnetics Research, Vol. 175, 139-147, 2022.
doi:10.2528/PIER22060601
References

1. Waldrop, M. M., "The chips are down for Moore's law," Nature, Vol. 530, 144-147, 2016.
doi:10.1038/530144a

2. Solli, D. R. and B. Jalali, "Analog optical computing," Nat. Photon., Vol. 9, 704-706, 2015.
doi:10.1038/nphoton.2015.208

3. Lee, S. H., "Optical analog solutions of partial differential and integral equations," Opt. Eng., Vol. 24, 240141, 1985.
doi:

4. Ferrera, M., Y. Park, L. Razzari, B. E. Little, S. T. Chu, R. Morandotti, D. J. Moss, and J. Azana, "On-chip CMOS-compatible all-optical integrator," Nat. Commun., Vol. 1, 1-5, 2010.
doi:10.1038/ncomms1028

5. Rajbenbach, H., Y. Fainman, and S. H. Lee, "Optical implementation of an iterative algorithm for matrix inversion," Appl. Opt., Vol. 26, 1024-1031, 1987.
doi:10.1364/AO.26.001024

6. Wu, K., C. Soci, P. P. Shum, and N. I. Zheludev, "Computing matrix inversion with optical networks," Opt. Express, Vol. 22, 295-304, 2014.
doi:10.1364/OE.22.000295

7. Cederquist, J., "Integral-equation solution using coherent optical feedback," J. Opt. Soc. Am., Vol. 71, 651-655, 1981.
doi:10.1364/JOSA.71.000651

8. Cederquist, J. and S. H. Lee, "Coherent optical feedback for the analog solution of partial differential equations," J. Opt. Soc. Am., Vol. 70, 944-953, 1980.
doi:10.1364/JOSA.70.000944

9. Leger, J. R. and S. H. Lee, "Coherent optical implementation of generalized two-dimensional transforms," Opt. Eng., Vol. 18, 185518, 1979.
doi:10.1117/12.7972422

10. Qian, C., B. Zheng, Y. Shen, L. Jing, E. Li, L. Shen, and H. Chen, "Deep-learning-enabled self-adaptive microwave cloak without human intervention," Nat. Photon., Vol. 14, 383-390, 2020.
doi:10.1038/s41566-020-0604-2

11. Gong, D., T. Ma, J. Evans, and S. He, "Deep neural networks for image super-resolution in optical microscopy by using modified hybrid task cascade U-net," Progress In Electromagnetics Research, Vol. 171, 185-199, 2021.
doi:10.2528/PIER21110904

12. Chen, X., Z. Wei, M. Li, and P. Rocca, "A review of deep learning approaches for inverse scattering problems," Progress In Electromagnetics Research, Vol. 167, 67-81, 2020.
doi:10.2528/PIER20030705

13. Zhen, Z., C. Qian, Y. Jia, Z. Fan, R. Hao, T. Cai, B. Zheng, H. Chen, and E. Li, "Realizing transmitted metasurface cloak by a tandem neural network," Photon. Res., Vol. 9, B229-B235, 2021.
doi:10.1364/PRJ.418445

14. Qian, C. and H. Chen, "A perspective on the next generation of invisibility cloaks --- Intelligent cloaks," Appl. Phys. Lett., Vol. 118, 180501, 2021.
doi:10.1063/5.0049748

15. Hua, Y., C. Qian, H. Chen, and H. Wang, "Experimental topology-optimized cloak for water waves," Mater. Today Phys., Vol. 27, 100754, 2022.
doi:10.1016/j.mtphys.2022.100754

16. Fan, Z., C. Qian, Y. Jia, Z. Wang, Y. Ding, D. Wang, L. Tian, E. Li, T. Cai, B. Zheng, I. Kaminer, and H. Chen, "Homeostatic neuro-metasurfaces for dynamic wireless channel management," Sci. Adv., Vol. 8, eabn7905, 2022.
doi:10.1126/sciadv.abn7905

17. Tan, Q., B. Zheng, T. Cai, C. Qian, R. Zhu, X. Li, and H. Chen, "Broadband spin-locked metasurface retroreflector," Adv. Sci., Vol. 2201397, 1-7, 2022.

18. Qian, C., Z. Wang, H. Qian, T. Cai, B. Zheng, X. Lin, Y. Shen, I. Kaminer, E. Li, and H. Chen, "Dynamic recognition and mirage using neuro-metamaterials," Nat. Commun., Vol. 13, 2694, 2022.
doi:10.1038/s41467-022-30377-6

19. Cai, T., S. Tang, B. Zheng, G.Wang, W. Ji, C. Qian, Z.Wang, E. Li, and H. Chen, "Ultrawideband chromatic aberration-free meta-mirrors," Adv. Photon., Vol. 3, 016001, 2021.
doi:10.1117/1.AP.3.3.036003

20. Qian, C., Y. Yang, Y. Hua, C. Wang, X. Lin, T. Cai, D. Ye, E. Li, I. Kaminer, and H. Chen, "Breaking the fundamental scattering limit with gain metasurfaces," Nat. Commun., Vol. 13, 4383, 2022.
doi:10.1038/s41467-022-32067-9

21. Zhang, J., C. Qian, Z. Fan, J. Chen, E. Li, J. Jin, and H. Chen, "Heterogeneous transfer-learning-enabled diverse metasurface design," Adv. Opt. Mater., Vol. 2200748, 1-9, 2022.

22. Jia, Y., C. Qian, Z. Fan, Y. Ding, Z. Wang, D. Wang, E. Li, B. Zheng, T. Cai, and H. Chen, "In-situ customized illusion enabled by global metasurface reconstruction," Adv. Funct. Mater., Vol. 32, 2109331, 2022.
doi:10.1002/adfm.202109331

23. Hu, Z., N. He, Y. Sun, Y. Jin, and S. He, "Wideband high-re ection chiral dielectric metasurface," Progress In Electromagnetics Research, Vol. 172, 51-60, 2021.
doi:10.2528/PIER21121903

24. Wu, N., Y. Zhang, H. Ma, H. Chen, and H. Qian, "Tunable high-Q plasmonic metasurface with multiple surface lattice resonances," Progress In Electromagnetics Research, Vol. 172, 23-32, 2021.
doi:10.2528/PIER21112006

25. Khoram, E., A. Chen, D. Liu, L. Ying, Q. Wang, M. Yuan, and Z. Yu, "Nanophotonic media for artificial neural inference," Photon. Res., Vol. 7, 823-827, 2019.
doi:10.1364/PRJ.7.000823

26. Wang, Z., C. Qian, T. Cai, L. Tian, Z. Fan, J. Liu, Y. Shen, L. Jing, J. Jin, E. Li, B. Zheng, and H. Chen, "Demonstration of spider-eyes-like intelligent antennas for dynamically perceiving incoming waves," Adv. Intell. Syst., Vol. 3, 2100066, 2021.
doi:10.1002/aisy.202100066

27. Qian, C., X. Lin, X. Lin, J. Xu, Y. Sun, E. Li, B. Zhang, and H. Chen, "Performing optical logic operations by a diffractive neural network," Light Sci. Appl., Vol. 9, 59, 2020.
doi:10.1038/s41377-020-0303-2

28. Zhou, Y., H. Zheng, I. I. Kravchenko, and J. Valentine, "Flat optics for image differentiation," Nat. Photon, Vol. 14, 316-323, 2020.
doi:10.1038/s41566-020-0591-3

29. Kwon, H., D. Sounas, A. Cordaro, A. Polman, and A. Alu, "Nonlocal metasurfaces for optical signal processing," Phys. Rev. Lett., Vol. 121, 173004, 2018.
doi:10.1103/PhysRevLett.121.173004

30. Cordaro, A., H. Kwon, D. Sounas, A. F. Koenderink, A. Alu, and A. Polman, "High-index dielectric metasurfaces performing mathematical operations," Nano Lett., Vol. 19, 8418-8423, 2019.
doi:10.1021/acs.nanolett.9b02477

31. Silva, A., F. Monticone, G. Castaldi, V. Galdi, A. Alu, and N. Engheta, "Performing mathematical operations with metamaterials," Science, Vol. 343, 160-163, 2014.
doi:10.1126/science.1242818

32. Su, L., A. Y. Piggott, N. V. Sapra, J. Petykiewicz, and J. Vuckovic, "Inverse design and demonstration of a compact on-chip narrowband three-channel wavelength demultiplexer," ACS Photon., Vol. 5, 301-305, 2017.
doi:10.1021/acsphotonics.7b00987

33. Jensen, J. S. and O. Sigmund, "Topology optimization for nano-photonics," Laser Photonics Rev., Vol. 5, 308-321, 2011.
doi:10.1002/lpor.201000014

34. Qu, Y., H. Zhu, Y. Shen, J. Zhang, C. Tao, P. Ghosh, and M. Qiu, "Inverse design of an integrated-nanophotonics optical neural network," Sci. Bull., Vol. 65, 1177-1183, 2020.
doi:10.1016/j.scib.2020.03.042

35. Hughes, T. W., I. A. D. Williamson, M. Minkov, and S. Fan, "Wave physics as analog recurrent neural network," Sci. Adv., Vol. 5, eaay6946, 2019.
doi:10.1126/sciadv.aay6946

36. Harris, N. C., J. Carolan, D. Bunandar, M. Prabhu, M. Hochberg, T. Baehr-Jones, M. L. Fanto, A. M. Smith, C. C. Tison, P. M. Alsing, and D. Englund, "Linear programmable nanophotonic processors," Optica, Vol. 5, 1623, 2018.
doi:10.1364/OPTICA.5.001623

37. Estakhri, N. M., B. Edwards, and N. Engheta, "Inverse-designed metastructures that solve equations," Science, Vol. 363, 1333-1338, 2019.
doi:10.1126/science.aaw2498

38. Camacho, M., B. Edwards, and N. Engheta, "A single inverse-designed photonic structure that performs parallel computing," Nat. Commun., Vol. 12, 1466, 2021.
doi:10.1038/s41467-021-21664-9

39. Hughes, T. W., M. Minkov, Y. Shi, and S. Fan, "Training of photonic neural networks through in situ backpropagation and gradient measurement," Optica, Vol. 5, 864-871, 2018.
doi:10.1364/OPTICA.5.000864

40. Beneck, R. J., A. Das, G. Mackertich-Sengerdy, R. J. Chaky, Y. Wu, S. Soltani, and D. Werner, "Reconfigurable antennas: A review of recent progress and future prospects for next generation," Progress In Electromagnetics Research, Vol. 171, 89-121, 2021.
doi:10.2528/PIER21081109

41. Zhou, H., J. Dong, J. Cheng, W. Dong, C. Huang, Y. Shen, Q. Zhang, M. Gu, C. Qian, H. Chen, Z. Ruan, and X. Zhang, "Photonic matrix multiplication lights up photonic accelerator and beyond," Light Sci. Appl., Vol. 11, No. 2, 158-178, 2022.