Computing-in-Transmission Integrated Intelligent Optical Computing Chip Architecture and System

Abstract

The present disclosure relates to the field of optical computing technologies, and particularly to an architecture and system of an integrated transmission and computing intelligent optical computing chip. Among them, the architecture includes: a transmitting module, configured to receive an optical input signal corresponding to a target task, and load the optical input signal onto an initial carrier to obtain and transmit a set of signals to be transmitted; the integrated transmission and computing intelligent optical computing chip architecture controls the set of signals to be transmitted to perform optical computing corresponding to the target task during the propagation process to obtain a set of signals to be received; a receiving module, configured to receive the set of signals to be received and decode the set of signals to be received to obtain an optical output signal, where the optical output signal is proportional to the optical input signal. The present disclosure adopting the above solution can utilize optical computing of intelligent tasks while realizing signal transmission, and achieve ultra-high energy efficiency optical communication and computing.

Description

Technical Field

[0001] The present disclosure relates to the field of optical computing technologies, and particularly to a transmission-computation integrated intelligent optical computing chip architecture and system. Background Art

[0002] With the rapid development of the fields of artificial intelligence and scientific computing, the complexity and scale of computing requirements are also continuously increasing. However, existing electronic computing technologies are limited by Moore's Law, and their performance is gradually approaching a saturation state, making it difficult to effectively meet the increasingly stringent requirements for computing power and power consumption of large-scale complex algorithms. Light has natural advantages such as high throughput and low latency during propagation. Optical computing technology using photons instead of electrons as the computing carrier is regarded as the key to breaking the existing computing bottleneck. Summary of the Invention

[0003] The present disclosure aims to at least partly solve one of the technical problems in the related art.

[0004] To this end, the first object of the present disclosure is to propose a transmission-computation integrated intelligent optical computing chip architecture to perform optical computing of intelligent tasks while realizing signal transmission, and to achieve ultra-high energy efficiency optical communication and computing.

[0005] The second object of the present disclosure is to propose a transmission-computation integrated intelligent optical computing chip system.

[0006] To achieve the above object, an embodiment of the first aspect of the present disclosure proposes a transmission-computation integrated intelligent optical computing chip architecture, including:

[0007] A transmitting module, configured to receive an optical input signal corresponding to a target task, and load the optical input signal onto an initial carrier to obtain and transmit a set of signals to be transmitted;

[0008] The transmission-computation integrated intelligent optical computing chip architecture controls the set of signals to be transmitted to perform optical computing corresponding to the target task during propagation to obtain a set of signals to be received;

[0009] A receiving module, configured to receive the set of signals to be received and decode the set of signals to be received to obtain an optical output signal, where the optical output signal is proportional to the optical input signal.

[0010] Optionally, the set of signals to be transmitted emitted by the transmitting module is infinitely propagated through the air to the receiving module.

[0011] Optionally, when the transmission-computation integrated intelligent optical computing chip architecture controls the set of signals to be transmitted to perform optical computing corresponding to the target task during propagation, it is specifically configured to:

[0012] During the propagation of the to-be-transmitted signal set, perform the optical calculation corresponding to the target task based on the optical propagation matrix corresponding to the target task.

[0013] Optionally, before controlling the to-be-transmitted signal set to perform the optical calculation corresponding to the target task based on the optical propagation matrix corresponding to the target task during propagation, the computing-in-optics intelligent optical computing chip architecture is further configured to:

[0014] Train the initial optical propagation matrix according to the target task to obtain the optical propagation matrix corresponding to the target task.

[0015] Optionally, when the computing-in-optics intelligent optical computing chip architecture is configured to train the initial optical propagation matrix according to the target task, it is specifically configured to:

[0016] Train the initial matrix parameters in the initial optical propagation matrix according to the target task, where the initial matrix parameters include at least one of a phase parameter and an amplitude parameter.

[0017] Optionally, when the transmitting module is configured to load the optical input signal onto the initial carrier to obtain and transmit the to-be-transmitted signal set, it is specifically configured to:

[0018] Load the optical input signal onto the initial carrier to obtain the loaded carrier;

[0019] Modulate the loaded carrier to obtain the to-be-transmitted signal set;

[0020] Control the modulation transmitter to transmit the to-be-transmitted signal set.

[0021] Optionally, when the transmitting module is configured to load the optical input signal onto the initial carrier, it is specifically configured to:

[0022] Load the optical input signal onto the initial carrier by modulating the amplitude.

[0023] Optionally, when the transmitting module is configured to modulate the loaded carrier, it is specifically configured to:

[0024] Control an electro-optic modulator and / or a thermal modulator to modulate the loaded carrier.

[0025] Optionally, when the transmitting module is configured to modulate the loaded carrier, it is specifically configured to:

[0026] Modulate the loaded carrier by modulating the phase and / or modulating the amplitude.

[0027] To achieve the above object, an embodiment of the second aspect of the present disclosure provides an optical computing chip system integrated with transmission and computing, including: the optical computing chip architecture integrated with transmission and computing shown in any one of the foregoing first aspects.

[0028] In summary, for the optical computing chip architecture and system provided by the present disclosure, by controlling the optical computing corresponding to the target task to be executed during the propagation of the set of signals to be transmitted, it is possible to perform optical computing of intelligent tasks while realizing signal transmission, achieve ultra-high energy-efficient optical communication and computing, realize the computing architecture of the disordered edge-side intelligent processor, and break through the energy efficiency contradiction of the existing high-power processors.

[0029] Additional aspects and advantages of the present disclosure will be partially given in the following description, partially become apparent from the following description, or be understood through the practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The above and / or additional aspects and advantages of the present disclosure will become apparent and be readily understood from the following description of the embodiments in conjunction with the drawings, where:

[0031] Figure 1 is a background schematic diagram of an optical computing chip architecture integrated with transmission and computing provided by an embodiment of the present disclosure;

[0032] Figure 2 is a structural schematic diagram of an optical computing chip architecture integrated with transmission and computing provided by an embodiment of the present disclosure;

[0033] Figure 3 is a working schematic diagram of an optical computing chip architecture integrated with transmission and computing provided by an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] The embodiments of the present disclosure will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are intended to explain the present disclosure and should not be construed as a limitation of the present disclosure.

[0035] Since the birth of modern computers, a century has passed, and computing has always been closely linked to processors. With the rapid development of artificial intelligence technology and the widespread popularity of intelligent devices, a brand-new era is quietly approaching, in which all things will be interconnected and strengthened by the power of artificial intelligence. The remarkable progress of artificial intelligence depends to a large extent on the continuous innovation of high-performance processors. To reduce energy consumption and improve computing power, many efforts have been made. Nowadays, a series of new processors designed specifically for artificial intelligence computing have emerged, including Graphic Processing Unit (GPU), Neural network Processing Unit (NPU), and memory computing chips. However, there is still an urgent need for solid-state dedicated processors, especially in the context where Moore's Law is gradually approaching saturation, making it increasingly difficult to build energy-efficient processors. In addition, the rapid increase in the number of intelligent devices has brought new challenges, because equipping each device with a high-power processor not only occupies too much space but also is unrealistic in terms of cost. Light has natural physical properties such as high throughput, high speed, and high energy efficiency during the propagation process. Optical computing technology that uses photons instead of electrons as the computing carrier is regarded as the key to breaking the existing computing bottleneck.

[0036] Using related optical technologies, scientists have proposed a series of advanced transmission methods and devices, achieving optical modulation and detection at sub-terahertz bit rates. Utilizing the ability of spatial light propagation to achieve high-channel parallel data transmission, optical transmission is expected to become a high-speed and high-energy-efficient general computing method, thereby reducing the time delay and energy overhead associated with dedicated processors. However, existing spatial optical computing systems are all large-scale optical systems on optical platforms, which limits many edge-side artificial intelligence computing applications.

[0037] The following will explain the present disclosure in detail with specific embodiments.

[0038] Figure 1 This is a background schematic diagram of a computing-in-transmission integrated intelligent optical computing chip architecture provided by an embodiment of the present disclosure. As Figure 1 shown, in a general interconnected system, agents continuously communicate with each other to perform collective tasks. This wireless connection spans various scales, including centimeter-scale computer networks for distributed computing, meter-scale robot networks for task collaboration, and collaboration between kilometer-scale drones and ground vehicles. Usually, data is locally transmitted and processed on dedicated processors. However, the separation between data transmission and processor-based data computing leads to energy consumption and time delay.

[0039] To address this challenge, the present disclosure introduces a processorless wireless artificial intelligence computing method called Transputing, which utilizes the optical propagation during wireless transmission as a computing medium, making it possible to perform optical computing during transmission to execute artificial intelligence tasks.

[0040] Exemplarily, Figure 2 FIG. is a schematic structural diagram of a Transputing integrated intelligent optical computing chip architecture provided by an embodiment of the present disclosure. As Figure 2 shown, the Transputing integrated intelligent optical computing chip architecture includes:

[0041] A transmitting module, configured to receive an optical input signal corresponding to a target task, and load the optical input signal onto an initial carrier to obtain and transmit a set of signals to be transmitted;

[0042] The Transputing integrated intelligent optical computing chip architecture controls the set of signals to be transmitted to perform optical computing corresponding to the target task during propagation to obtain a set of signals to be received;

[0043] A receiving module, configured to receive the set of signals to be received, and decode the set of signals to be received to obtain an optical output signal, where the optical output signal is proportional to the optical input signal.

[0044] According to some embodiments, the target task refers to an intelligent task that the Transputing integrated intelligent optical computing chip architecture needs to execute. The target task includes but is not limited to various intelligent computing tasks such as classification and matrix calculation.

[0045] It is easy to understand that this architecture controls the set of signals to be transmitted to perform optical computing corresponding to the target task during propagation. Therefore, it is possible to utilize transmission to complete the calculation, perform optical computing of intelligent tasks while realizing signal transmission, achieve ultra-high energy efficiency optical communication and computing, and realize a computing architecture without an end-side intelligent processor, breaking through the energy efficiency contradiction of existing high-power processors.

[0046] Optionally, when the transmitting module is configured to load the optical input signal onto the initial carrier to obtain and transmit the set of signals to be transmitted, it is specifically configured to:

[0047] Load the optical input signal onto the initial carrier to obtain a loaded carrier;

[0048] Modulate the loaded carrier to obtain the set of signals to be transmitted;

[0049] Control the modulation transmitter to transmit the set of signals to be transmitted.

[0050] According to some embodiments, when the transmitting module is configured to load the optical input signal onto the initial carrier, it can load the optical input signal onto the initial carrier by modulating the amplitude.

[0051] In some embodiments, when the transmitting module is used to modulate the loaded carrier, it can control the electro-optic modulator and / or the thermal modulator to modulate the loaded carrier.

[0052] In some embodiments, the loaded carrier can be modulated by modulating the phase and / or the amplitude.

[0053] Among them, when modulating the loaded carrier by modulating the phase and / or the amplitude, a dedicated integrated circuit (ASIC) interface can be used to perform phase modulation on the loaded carrier. For example, after being led out by electrodes, the ASIC interface can be driven by a voltage source to achieve phase modulation of the loaded carrier, or phase shifters can be used to achieve phase modulation of the loaded carrier.

[0054] Optionally, the set of signals to be transmitted emitted by the transmitting module is infinitely propagated through the air to the receiving module.

[0055] It should be noted that during the process of the set of signals to be transmitted emitted by the transmitting module being infinitely propagated through the air to the receiving module, based on random dispersion perturbation, each wavelength of the signals to be transmitted in the process of transmission can form different transmission modes. Therefore, it becomes possible to encode each wavelength of the signals to be transmitted by configuring independent transmission channels for them.

[0056] In some embodiments, random dispersion perturbation refers to dispersing the phase of a single-wavelength light through the length of a waveguide, untying the wavelength dimension, and the transmission modes of single-wavelength lights with different but close wavelengths are no longer similar, that is, the diffraction results of single-wavelength lights with different wavelengths are very different.

[0057] Optionally, when the computing-in-transmission intelligent optical computing chip architecture controls the set of signals to be transmitted to perform optical calculations corresponding to the target task during propagation, it is specifically used for:

[0058] Controlling the set of signals to be transmitted to perform optical calculations corresponding to the target task based on the optical propagation matrix corresponding to the target task during propagation.

[0059] According to some embodiments, the optical propagation matrix refers to the matrix used when the set of signals to be transmitted performs optical diffraction calculations during propagation.

[0060] In some embodiments, when the set of signals to be transmitted performs optical calculations corresponding to the target task during propagation, it can be modeled as:

[0061]

[0062] Among them, P is the set of signals to be transmitted, is the set of signals to be received, U is the optical propagation matrix.

[0063] According to some embodiments, when controlling the set of signals to be transmitted during propagation and performing optical calculations corresponding to the target task based on the optical propagation matrix corresponding to the target task, the integrated computing and transmitting intelligent optical computing chip architecture can train the initial optical propagation matrix according to the target task to obtain the optical propagation matrix corresponding to the target task.

[0064] In some embodiments, when the integrated computing and transmitting intelligent optical computing chip architecture trains the initial optical propagation matrix according to the target task, it can train the initial matrix parameters in the initial optical propagation matrix according to the target task, where the initial matrix parameters include at least one of phase parameters and amplitude parameters.

[0065] Taking one scenario as an example, Figure 3 is a schematic diagram of the operation of an integrated computing and transmitting intelligent optical computing chip architecture provided by an embodiment of the present disclosure. As Figure 3 shown, first, the optical input signal A ( t ) is loaded onto the initial carrier by amplitude modulation to obtain the loaded carrier M ( t ) ; then, the M ( t ) signal is modulated by an electro-optic modulator into a set of signals to be transmitted t that varies rapidly with time , where n is a positive integer; then, the signal is broadcast and transmitted through a modulation transmitter, and optical calculations corresponding to the target task are performed during propagation to obtain the set of signals to be received ; finally, the receiving module receives and sums it to obtain the optical output signal I ( t ).

[0066] It should be noted that theoretically, if the transmitting module does not perform any modulation on , the received by the receiving module will have a relatively strict proportional relationship with the input A ( t ), so it can be optically decoded by a series of communication theories and methods to recover the original signal A ( t)。However, if calculated according to the loading and modeling of the optical propagation matrix, that is, after modulating it, will keep changing, making demodulation impossible. At this time, if is summed to I ( t ), then demodulation can be carried out again. The specific reasons are as follows:

[0067]

[0068]

[0069] Among them, λ is the wavelength; α is the ratio between λ at the wavelength I ( t ) and A ( t ).

[0070] Among them, each signal in is a series of points and can be described as a vector. Each vector includes multiple units. The r-th unit in the vector corresponding to the i -th signal is expressed as . That is to say, when the receiving module decodes the set of signals to be received, it can be decoded by summation.

[0071] It is easy to understand that I ( t ) is in a proportional form with A ( t ), then the communication link can be completed, the signal can be demodulated to realize information transmission, and at the same time, through distribution, the optical diffraction calculation is completed.

[0072] In summary, the architecture provided in this embodiment realizes the simultaneous and non-interfering optical calculation and optical communication by jointly modeling the transmission channel and the calculation channel, so that the architecture can be applied to various existing communication systems to obtain a large amount of additional computing resources.

[0073] To implement the above embodiment, the present disclosure also proposes a transmission and computing integrated intelligent optical computing chip system, including: the transmission and computing integrated intelligent optical computing chip architecture provided in the foregoing embodiment.

[0074] It should be noted that a transputing-integrated intelligent optical computing chip system including 1000 transputing-integrated intelligent optical computing chip architectures can obtain an additional 10 Tera-MACS of computing power from a 10 GHz transmission channel. Due to the utilization of the wireless transmission channel, the additional computing energy overhead of Transputing can be only the driving power of the phase shifter array. Among them, when using a low-power microwatt-level phase shifter, through resonance-enhanced modulation and over-coupling configuration, an active modulation region with a length of 15 microns only requires 16.69 nanowatts of power to achieve 0.067 radian modulation. Through coupled-mode analysis, the phase shifter reduces the power consumption of the phase shifter to . Using microwatt-level phase shifters and full reconfigurability, the total computing power can be estimated as NMP, and the energy efficiency of Transputing can be defined as ( ), where NMF refers to the number of operations per second (OPS) of the computing power, and F represents the operating frequency of the data modulation and detection frequency, which can reach at least dozens of GHz.

[0075] In summary, the system provided in this embodiment can achieve an ultra-high energy efficiency of 11.8 Peta OPS / W by reducing the computing burden of the dedicated processor, exceeding the energy efficiency of traditional computing systems by 3 to 5 orders of magnitude.

[0076] The collection, storage, use, processing, transmission, provision, and disclosure of the user's personal information involved in this disclosure all comply with the provisions of relevant laws and regulations and do not violate public order and good customs.

[0077] It should be noted that the personal information from users should be collected for legal and reasonable purposes and should not be shared or sold outside of these legal uses. In addition, such collection / sharing should be carried out after obtaining the informed consent of the user, including but not limited to notifying the user to read the user agreement / user notice and signing an agreement / authorization including authorizing the relevant user information before the user uses this function. In addition, any necessary steps should be taken to defend and protect access to such personal information data and ensure that others with access to personal information data comply with their privacy policies and procedures.

[0078] This disclosure anticipates providing embodiments that allow users to selectively block the use or access of personal information data. That is, this disclosure anticipates providing hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by restricting data collection and deleting the data. In addition, when applicable, personal identifiers are removed from such personal information to protect the privacy of the user.

[0079] In the technical solution of the present disclosure, the acquisition, transmission, storage, use, processing, etc. of data all comply with the relevant provisions of national laws and regulations.

[0080] It should be noted that in the embodiments of the present disclosure, some existing solutions in the industry such as certain software, components, models, etc. may be mentioned. They should be regarded as exemplary. The purpose is only to illustrate the feasibility in the implementation of the technical solution of the present application, but it does not mean that the applicant has already or necessarily used this solution.

[0081] In the description of the foregoing embodiments, the descriptions with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic descriptions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0082] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present disclosure, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0083] Any process or method description shown in the flowchart or described in other ways herein can be understood as representing a module, segment, or part of code including one or more executable instructions for implementing a customized logical function or process. And the scope of the preferred embodiments of the present disclosure includes additional implementations, where the functions can be executed in a manner that may not be shown or discussed in the order, including in a substantially simultaneous manner or in the reverse order according to the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0084] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definitional sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion having one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, a computer-readable medium can even be paper or other suitable media on which a program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then storing it in a computer memory.

[0085] It should be understood that various parts of the present disclosure can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0086] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the method of implementing the above embodiments can be completed by a program instructing relevant hardware. The program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0087] In addition, in various embodiments of the present disclosure, each functional unit may be integrated into one processing module, may exist physically alone for each unit, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0088] The above-mentioned storage medium may be a read-only memory, a magnetic disk, an optical disc, etc. Although the embodiments of the present disclosure have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present disclosure.

Claims

1. An integrated computing and optical computing chip architecture, characterized in that, Including: A transmitting module, configured to receive an optical input signal corresponding to a target task, load the optical input signal onto an initial carrier, and obtain and transmit a set of signals to be transmitted; The computing-in-transmission integrated intelligent optical computing chip architecture controls the set of signals to be transmitted to perform the optical computing corresponding to the target task during the propagation process, and obtains a set of signals to be received; wherein, when the set of signals to be transmitted performs the optical computing corresponding to the target task during the propagation process, it is modeled as: Among them, P is the set of signals to be transmitted, is the set of signals to be received, U is the optical propagation matrix; A receiving module, configured to receive the set of signals to be received and decode the set of signals to be received to obtain an optical output signal, wherein the optical output signal is proportional to the optical input signal, and the set of signals to be received is decoded according to the following formula: wherein, λ is the wavelength; t is the time; A ( t ) is the optical input signal; I ( t ) is the optical output signal; α is λ at the wavelength I ( t ) and A ( t ) the ratio between; is the set of signals to be received, each signal in is a vector composed of a series of points, each vector includes a plurality of units, the i th signal corresponding to the in the r-th unit is expressed as , n is a positive integer.

2. The architecture according to claim 1, wherein The set of signals to be transmitted emitted by the transmitting module is infinitely propagated through the air to the receiving module.

3. The architecture according to claim 1, wherein When the computing-in-transmission integrated intelligent optical computing chip architecture controls the set of signals to be transmitted to perform the optical computing corresponding to the target task during the propagation process, it is specifically configured to: Control the set of signals to be transmitted to perform the optical computing corresponding to the target task based on the optical propagation matrix corresponding to the target task during the propagation process.

4. The architecture according to claim 3, wherein Before controlling the set of signals to be transmitted to perform the optical computing corresponding to the target task based on the optical propagation matrix corresponding to the target task during the propagation process, the computing-in-transmission integrated intelligent optical computing chip architecture is further configured to: Train an initial optical propagation matrix according to the target task to obtain the optical propagation matrix corresponding to the target task.

5. The architecture according to claim 4, characterized in that, When the computing-in-transmission integrated intelligent optical computing chip architecture is configured to train the initial optical propagation matrix according to the target task, it is specifically configured to: Train the initial matrix parameters in the initial optical propagation matrix according to the target task, wherein the initial matrix parameters include at least one of a phase parameter and an amplitude parameter.

6. The architecture according to claim 1, characterized in that, When the transmitting module is configured to load the optical input signal onto an initial carrier and obtain and transmit a set of signals to be transmitted, it is specifically configured to: Load the optical input signal onto an initial carrier to obtain a loaded carrier; Modulate the loaded carrier to obtain a set of signals to be transmitted; Control a modulation transmitter to transmit the set of signals to be transmitted.

7. The architecture according to claim 6, characterized in that, When the transmitting module is configured to load the optical input signal onto an initial carrier, it is specifically configured to: Load the optical input signal onto the initial carrier by modulating the amplitude.

8. The architecture according to claim 6, wherein When the transmitting module is configured to modulate the loaded carrier, it is specifically configured to: Control an electro-optic modulator and / or a thermal modulator to modulate the loaded carrier.

9. The architecture according to claim 6, characterized in that, When the transmitting module is configured to modulate the loaded carrier, it is specifically configured to: Modulate the loaded carrier by modulating the phase and / or the amplitude.

10. A computing-in-communication integrated intelligent optical computing chip system, characterized in that, Including: The computing-in-transmission integrated intelligent optical computing chip architecture according to any one of claims 1 to 9.

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