Methods for the stabilization of interferometric systems and interferometric systems implementing such methods
11313667 · 2022-04-26
Assignee
Inventors
- Kilian Müller (Paris, FR)
- Laurent Daudet (Paris, FR)
- Igor Carron (Paris, FR)
- Gustave Pariente (Paris, FR)
Cpc classification
G06N3/0675
PHYSICS
G01B9/02057
PHYSICS
G01B9/02028
PHYSICS
G01B9/02007
PHYSICS
International classification
G01B9/02001
PHYSICS
Abstract
The present description relates to a stabilized interferometric system comprising: a light source (210) for emitting an initial beam of coherent light; a spatial light modulator (220) configured to receive at least a first part of said initial beam and input data (203) and configured to emit a spatially modulated beam resulting from a spatial modulation of a parameter of said first part of said initial beam based on said input data; a scattering medium (230) configured to receive said spatially modulated beam; a detection unit (240) configured to acquire an interference pattern (IN.sub.0) resulting from the interferences between randomly scattered optical paths taken by the spatially modulated beam through the scattering material; a control unit (250) configured to vary the frequency of the laser source in order to at least partially compensate a change in said interference pattern resulting from a change in at least one environmental parameter.
Claims
1. A stabilized interferometric system comprising: a light source for emitting an initial beam of coherent light; a spatial light modulator configured to receive at least a first part of said initial beam and input data, and configured to emit a spatially modulated beam resulting from a spatial modulation of a parameter of said first part of said initial beam based on said input data; a scattering medium configured to receive said spatially modulated beam; a detection unit configured to acquire an interference pattern in a first detection plane at an output of said scattering material, wherein said interference pattern results from the interferences between randomly scattered optical paths taken by the spatially modulated beam through the scattering material; and acquire a reference interference pattern in said first detection plane; the reference interference pattern resulting from the interferences between randomly scattered optical paths taken by a reference beam through the scattering material; and a control unit configured to vary the frequency of the light source as a function of a change in said reference interference pattern in order to at least partially compensate a change in said interference pattern resulting from a change in at least one environmental parameter, wherein varying the frequency of the light source comprises: calculating a measurement of similarity between two interference patterns corresponding to said reference interference pattern acquired at two different times; determining a variation of the frequency to apply to the light source based on said measurement of similarity.
2. The stabilized interferometric system of claim 1, wherein said reference beam results from a spatial modulation of a parameter of said first part of said initial beam based on a reference digital input signal.
3. The stabilized interferometric system of claim 1, further comprising a reference optical detector configured to acquire said reference interference pattern resulting from the interferences between randomly scattered optical paths taken by a reference beam through the scattering material, wherein said reference beam is generated by a second part of said initial beam directly sent to said scattering medium.
4. The stabilized interferometric system of claim 1, further comprising: an environmental sensor configured to monitor at least one environmental parameter; and wherein the control unit is configured to vary the frequency of the light source as a function of a change in a measure of said at least one environmental parameter.
5. The stabilized interferometric system of claim 1, wherein the scattering medium is a multiple scattering medium.
6. A method for stabilization of an interferometric system, wherein said interferometric system comprises: a light source for emitting an initial beam of coherent light; a spatial light modulator configured to receive at least a first part of said initial beam and input data, and configured to emit a spatially modulated beam resulting from a spatial modulation of a parameter of said first part of said initial beam based on said input data; a scattering medium configured to receive said spatially modulated beam; a detection unit configured to acquire an interference pattern in a first detection plane at an output of said scattering medium, wherein said interference pattern results from the interferences between randomly scattered optical paths taken by the spatially modulated beam through the scattering medium; wherein the method comprises: acquiring, using said detection unit, a reference interference pattern in said detection plane, wherein said interference pattern results from the interferences between randomly scattered optical paths taken by a reference beam through the scattering medium; varying the frequency of the light source as a function of a change in said reference interference pattern in order to at least partially compensate a change in said interference pattern resulting from a change in at least one environmental parameter; wherein varying the frequency of the light source comprises calculating a measurement of similarity between two interference patterns corresponding to said reference interference pattern acquired at two different times; and determining a variation of the light source frequency to apply to the light source based on said measurement of similarity.
7. The method for stabilization of claim 6, further comprising spatially modulating a parameter of said first part of said initial beam using a reference digital input signal to generate said reference beam.
8. The method for stabilization of claim 6, wherein: the reference interference pattern is acquired using a reference optical detector, and wherein said reference beam is generated by a second part of said initial beam directly sent to said scattering medium.
9. The method for stabilization of claim 6, further comprising: monitoring, using an environmental sensor, at least one environmental parameter; and wherein varying the frequency of the light source is made as a function of a change in a measure of said at least one environmental parameter.
10. The method for stabilization of claim 6, wherein a parameter of said first part of said initial beam spatially modulated is the amplitude, the intensity, the phase and/or the polarization of the initial beam.
11. The method for stabilization of claim 6, wherein the scattering medium is a multiple scattering medium.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) Other advantages and features of the invention will become apparent on reading the description, which is illustrated by the following figures:
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DETAILED DESCRIPTION
(8) In the figures, identical elements are indicated by the same references.
(9)
(10) For instance, the OPU may implement methods of statistical Machine Learning as known in the art (in particular for classification or regression, such as deep neural networks or Randomized Kernel Machines for instance). The OPU may also implement methods for deterministic or randomized numerical linear algebra (for instance in the field of Large Scale scientific computations involving matrix and tensor randomization). In a general way, optical processing units may find use in any digital data processing involving but not limited to one of a Stochastic Gradient Descent solver, a convolutional or random layer in a Deep Neural Network, an Echo State Machine, a Reservoir Computing, a Large Scale Random kernel, an Extreme Learning Machine, a Randomized Numerical Linear Algebra algorithm, a Locally Sensitive Hashing, an iterative eigen solver and/or a Database friendly random projection.
(11) As illustrated in
(12) The SLM 220 can be, for instance an electrically addressed beam modulator. For example, the SLM 220 comprises a plurality of independently addressable micro-mirrors and is configured to spatially modulate the amplitude of the initial beam. Alternatively, the SLM 220 may comprise a plurality of independently addressable liquid crystal elements and is configured to spatially modulate the phase and/or the polarization of the initial beam.
(13) The stabilized interferometric system 200 further comprises a scattering medium 230, preferably a multiple scattering medium (MSM), configured to receive said modulated beam B.sub.0M and a detection unit 240 configured to acquire an interference pattern IN.sub.0 in a first detection plane 241 at an output of said MSM, wherein said interference pattern results from the interferences between randomly scattered optical paths taken by the spatially modulated beam B.sub.0M through the multiple scattering medium 230. In the example of
(14) The stabilized interferometric system 200 further comprises a control unit 250 receiving an electronic signal 204 issued by the detection unit 240 and corresponding to the acquisition of the interference pattern. The control unit 250 is configured to vary the frequency of the laser source in order to at least partially compensate a change in said interference pattern resulting from a change in at least one environmental parameter. The variation of the frequency of the laser source will be described in further details below.
(15) The control unit 250 is referred in the description as a single component but may comprise a plurality of distinct electronic components. The control unit 250 can for instance be, or comprise, a processing unit such as a central processing unit (CPU), a graphic processing unit (GPU), a Field Programmable Gate Array (FPGA), an Application-Specific Integrated Circuit (ASIC) and/or any type of such processing unit known in the art. The control unit and other elements of the stabilized interferometric system 200 are connected together, directly or through interconnection electronic components (not shown in
(16) The input data 203 may be data resulting for the pre-processing of digital input data 201 fed to the OPU. Such digital input data 201 may be any kind of data: images, videos, text, sound, time series or more abstract data, e.g. data which are the output of an algorithm such as a neural network.
(17) The pre-processing of the input data 201 may be made using a digital input circuit (not shown in
(18) The nature of the digital output data 202 very much depends on the (machine learning) algorithm that the OPU is part of. Some examples are, if the OPU is the last dense layer of a neural network, data to be fed into a classifier. In other applications for recurrent neural networks, the output data 202 may then be fed back into the OPU. Depending on the application, the number of bits of said digital output data 202 may be smaller or equal or larger than the number of bits of said digital input data 201, as explained for example in the above cited prior art US2018/0019822.
(19) The laser source 210 may comprise a DPSS (diode pumped solid state) laser, where the wavelength can be controlled via changing the temperature of one or more components of the laser.
(20) The laser source 210 may also comprise a single frequency diode laser, where the wavelength can be controlled via temperature control of the diode junction. This can be accomplished either through a TEC (for “thermoelectric cooler”), or via changing the current of the laser diode.
(21) The laser source 210 may also comprise an external cavity laser diode, where the wavelength may be controlled via changing the length of the external cavity, and/or through a wavelength selective grating placed inside the cavity.
(22) Examples of scattering media 230 generally suitable for the invention may comprise translucent materials, amorphous materials such as paint pigments, amorphous layers deposited on glass, scattering impurities embedded in transparent matrices, nano-patterned materials and polymers. An example of a multiple scattering medium is a layer of an amorphous material such as a layer of Zinc-oxide (ZnO) on a substrate. Multiple scattering media perform a very complex yet deterministic scattering of the electromagnetic beam.
(23) The detection unit 240 may comprise one or a plurality of one-dimensional or bi-dimensional optical detectors, as it will be described below.
(24) Such optical detector comprises for example a camera sensor, e.g. a CCD sensor or a CMOS sensor, or an array of photo diodes.
(25) As shown in
(26)
(27) An incoming beam B.sub.0m (see
(28) In the upper scenario (
Li.fwdarw.Li(1+αΔT)=Liξ
(29) The factor (1+α ΔT)=ξ is close to 1. The interference pattern at the detector, which depends on the relative differences of the lengths of the optical paths, will consequently change.
(30) The applicant has shown that the interference pattern can, to first order, be restored when the wavelength of the source is also scaled.
(31) Another way to motivate this is by using the transmission matrix M. The transmission matrix depends on the laser frequency f, and may depend on one or more environmental parameters like the temperature T of the MSM 230, i.e. M=M(f, T).
(32) At an initial laser frequency f.sub.0 and temperature T.sub.0, the light field at the detection plane 241 will be given by y.sub.0=M(f.sub.0, T.sub.0) x, where x is the information encoded in the laser beam B.sub.0m in
(33) In practice, the exact scaling factor does not need to be necessarily known, and the tuning of the wavelength may be done using a control loop. However, the applicant has shown that to restore the original interference pattern the wavelength may be scaled by approximately the same factor:
λ.fwdarw.λ(1+αΔT)=λξ
(34) It should be noted that the thermal expansion or contraction in this example mainly affects the path lengths inside the MSM. Changes of the paths outside the MSM are supposed to be negligible in comparison.
(35) It is clear that this scheme is not restricted to the example given here. In general, the fluctuation of any parameter that induces a global scaling of the lengths of the optical paths that contribute to an interference pattern can be corrected via appropriate wavelength tuning, according to exemplary methods that are described below.
(36)
(37) The (normalized) cross-correlation (curve 31) is a measure of similarity used to compare two interference patterns. One, from now on referred to as the “reference”, is taken at the beginning at time T0. The other is taken at a later point in time.
(38) The reference pattern may for example result from the interferences between randomly scattered optical paths taken by a reference beam through the multiple scattering material, wherein the reference beam results from a spatial modulation of a parameter of said initial beam B.sub.0 based on reference input data. For example, in order to create the reference beam, the SLM may be programmed not to alter the characteristics of the beam at all, such that B.sub.0m=B.sub.0 (See
(39) A cross-correlation close to 1 is a sign that the second interference pattern has hardly changed with respect to the reference pattern. A cross-correlation significantly lower than 1 on the other hand is a sign that the interference pattern has evolved and become less similar to the reference pattern.
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(41) Due to a change of an external parameter between times T.sub.1 and T.sub.2 (curve 32), e.g. the temperature, the interference pattern is evolving and the cross-correlation consequently decreases to a value significantly lower than 1.
(42) Between times T.sub.2 and T.sub.3 all relevant parameters of the system are constant. The interference pattern is different from the reference but constant, leading to the value of the cross-correlation to be constant at a value smaller than 1.
(43) Between times T.sub.3 and T.sub.4 the wavelength of the laser is adjusted such that the change of the interference pattern induced by the variation of the external parameter is largely restored. Consequently, the cross-correlation is brought back to a value close to 1.
(44) From time T.sub.4, it is assumed that all relevant parameters are constant again. Even though the external parameter now differs from its initial value, a change of the wavelength has compensated its effect on the interference pattern.
(45) The above figure shows the qualitative behavior of the system. The exact dependence between the cross-correlation and the external parameter/the wavelength may vary.
(46) This scheme may be implemented such that the interference pattern is periodically compared to the reference, and adjustments of the wavelength are then performed. In this case the evolution of the cross-correlation, the external parameter, and the wavelength may qualitatively follow the step by step evolution shown in
(47) Another possible implementation of the scheme is a constant monitoring using a control loop. In this case, a change of the interference pattern would trigger a more immediate reaction to adjust the wavelength accordingly. The remaining delay would only be limited by the bandwidth of the control loop. In other words, and with the notation of
(48) Note that since the same beam path in
(49) A possible way to achieve continuous adjustment is the use of one ore many environmental sensors 260 that monitor parameters that influence the transmission matrix. Through a heuristic a priori calibration, the necessary adjustment of the laser frequency as a function of the evolution of one or many environmental parameters is known. It is then possible to continuously tune the laser frequency without the need to record the interference patterns and compare them to the reference pattern. Since this is an indirect measure, occasional direct measures of the light field at the plane 241 may be taken in order to correct any residual drift. But these measurements may be scheduled at larger intervals, and more flexibly than without the continuous laser frequency tuning with the help of environmental sensors.
(50) Finally, it should be noted that the method according to the present description does not specifically rely on the use of the cross-correlation. Indeed, any adequate measure that quantifies the evolution of the interference pattern may be used. This may be a different algorithm that compares interference patterns, or measures of external parameter(s) that correlate in a reproducible way with a change of the interference pattern.
(51) The applicant has experimentally demonstrated the feasibility of the method as described in the present disclosure.
(52) The optical setup is similar to the one shown in
(53) While leaving all other parameters constant, the laser frequency is then tuned via a change of the laser diode current. At a detuning of between −3 and −4 GHz (which corresponds to a change of the diode current by between +2 and +2.5 mA) the temperature induced change of the optical paths has mostly been compensated by the change in the frequency of the laser, as manifested by the nearly fully recovered cross-correlation. A further detuning beyond −4 GHz overcompensates, and the normalized cross-correlation decreases.
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(56) In this embodiment, the detection unit is configured, as in
(57) Further, the detection unit is configured to acquire a reference interference pattern IN.sub.2 resulting from the interferences between randomly scattered optical paths taken by a reference beam B.sub.2 through the multiple scattering medium 230, wherein said reference beam is generated by a second part B.sub.2 of said initial beam B.sub.0 directly sent to said multiple scattering material. By “directly sent”, it is meant that the second part B.sub.2 of said initial beam B.sub.0 is not modulated by the SLM 220. As shown in
(58) As in
(59) For example, the detection unit comprises a first detector 240 and said second detector 640, as shown in
(60) The control unit is 250 is then configured to receive the output data 604 issued by the detector 640 and to vary the frequency of the laser source as a function of a change in said reference interference pattern.
(61) Designing a reference beam path as shown in
(62) Using a separate beam B.sub.2 passing through the MSM, as shown in
(63) As described in reference to
(64) Although described by way of a number of detailed example embodiments, the systems and methods according to the present description comprise various variants, modifications and improvements that will be obvious to those skilled in the art, it being understood that these various variants, modifications and improvements fall within the scope of the invention such as defined by the following claims.