Reference-less wavefront shaping in a Hopfield-like rough intensity landscape

被引:0
作者
Leonetti, Marco [1 ,2 ,3 ]
Leuzzi, Luca [1 ,4 ]
Ruocco, Giancarlo [2 ]
机构
[1] CNR, Inst Nanotechnol, Soft & Living Matter Lab, I-00185 Rome, Italy
[2] Ist Italiano Tecnol, Ctr Life Nano Sci Sapienza, I-00161 Rome, Italy
[3] Rebel Dynam IIT CLN2S Jointlab, I-00161 Rome, Italy
[4] Univ Sapienza, Dept Phys, I-00185 Rome, Italy
基金
欧洲研究理事会;
关键词
TRANSMISSION MATRIX; NEURAL-NETWORKS; SCATTERING; RETRIEVAL; LIGHT; DMD;
D O I
10.1364/OE.492055
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
This study introduces a new digital-micromirror based binary-phase wavefront shaping technique, which allows the measurement of the full coupling matrix of a disordered medium without a reference and enables to focusing transmitted light. The coupling matrix takes on a bi-dyadic structure, similar to a Hopfield memory matrix containing two memory patterns. Sequential wavefront optimization in this configuration often stalls due to a rough intensity landscape, resulting in a non-optimal state. To overcome this issue, we propose the Complete Couplings Mapping method, which consistently reaches the theoretically expected maximum intensity.& COPY; 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
引用
收藏
页码:28987 / 28998
页数:12
相关论文
共 47 条
[1]   SPIN-GLASS MODELS OF NEURAL NETWORKS [J].
AMIT, DJ ;
GUTFREUND, H .
PHYSICAL REVIEW A, 1985, 32 (02) :1007-1018
[2]   INFORMATION-STORAGE IN NEURAL NETWORKS WITH LOW-LEVELS OF ACTIVITY [J].
AMIT, DJ ;
GUTFREUND, H ;
SOMPOLINSKY, H .
PHYSICAL REVIEW A, 1987, 35 (05) :2293-2303
[3]   STORING INFINITE NUMBERS OF PATTERNS IN A SPIN-GLASS MODEL OF NEURAL NETWORKS [J].
AMIT, DJ ;
GUTFREUND, H ;
SOMPOLINSKY, H .
PHYSICAL REVIEW LETTERS, 1985, 55 (14) :1530-1533
[4]   STATISTICAL-MECHANICS OF NEURAL NETWORKS NEAR SATURATION [J].
AMIT, DJ ;
GUTFREUND, H ;
SOMPOLINSKY, H .
ANNALS OF PHYSICS, 1987, 173 (01) :30-67
[5]   Speckle spatial correlations aiding optical transmission matrix retrieval: the smoothed Gerchberg-Saxton single-iteration algorithm [J].
Ancora, Daniele ;
Dominici, Lorenzo ;
Gianfrate, Antonio ;
Cazzato, Paolo ;
De Giorgi, Milena ;
Ballarini, Dario ;
Sanvitto, Daniele ;
Leuzzi, Luca .
PHOTONICS RESEARCH, 2022, 10 (10) :2349-2358
[6]   Transmission matrix inference via pseudolikelihood decimation [J].
Ancora, Daniele ;
Leuzzi, Luca .
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2022, 55 (39)
[7]   Random-matrix theory of quantum transport [J].
Beenakker, CWJ .
REVIEWS OF MODERN PHYSICS, 1997, 69 (03) :731-808
[8]   Imaging intracellular fluorescent proteins at nanometer resolution [J].
Betzig, Eric ;
Patterson, George H. ;
Sougrat, Rachid ;
Lindwasser, O. Wolf ;
Olenych, Scott ;
Bonifacino, Juan S. ;
Davidson, Michael W. ;
Lippincott-Schwartz, Jennifer ;
Hess, Harald F. .
SCIENCE, 2006, 313 (5793) :1642-1645
[9]   High-speed scattering medium characterization with application to focusing light through turbid media [J].
Conkey, Donald B. ;
Caravaca-Aguirre, Antonio M. ;
Piestun, Rafael .
OPTICS EXPRESS, 2012, 20 (02) :1733-1740
[10]  
Crespi A, 2013, NAT PHOTONICS, V7, P545, DOI [10.1038/NPHOTON.2013.112, 10.1038/nphoton.2013.112]