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公开(公告)号：US20220057573A1
公开(公告)日：2022-02-24
申请号：US17496817
申请日：2021-10-08
Applicant: Massachusetts Institute of Technology
Inventor： Josue Lopez , Samuel Kim , Jamison Sloan , Boris KHARAS , Jeffrey Scott HERD , Marin SOLJACIC , Cheryl Marie SORACE-AGASKAR , Suraj Deepak BRAMHAVAR , Steven Glenn JOHNSON , George BARBASTATHIS
Abstract: An integrated optical beam steering device includes a planar Luneburg lens that collimates beams from different inputs in different directions within the lens plane. It also includes a curved (e.g., semi-circular or arced) grating coupler that diffracts the collimated beams out of the lens plane. The beams can be steered in the plane by controlling the direction along which the lens is illuminated and out of the plane by varying the beam wavelength. Unlike other beam steering devices, this device can operate over an extremely wide field of view—up to 180°—without any aberrations off boresight. In other words, the beam quality is uniform in all directions, unlike with aplanatic lenses, thanks to the circular symmetry of the planar Luneburg lens, which may be composed of subwavelength features. The lens is also robust to misalignment and fabrication imperfections and can be made using standard CMOS processes.
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公开(公告)号：US20250060774A1
公开(公告)日：2025-02-20
申请号：US18722121
申请日：2022-10-14
Applicant: Massachusetts Institute of Technology
Inventor： Charles ROQUES-CARMES , Marin SOLJACIC
IPC: G06E1/04
Abstract: Optical and electronic processors for calculating second-order and higher-order polynomials are described. A photonic processor can include an optical matrix multiplying unit OMMU that can perform vector-matrix multiplication. A portion of the inputs to the OMMU can be fed forward to combine with outputs from the OMMU when calculating polynomials. The described apparatus can also be used for probabilistic computing and polynomial combinatorial optimization.
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公开(公告)号：US20220012619A1
公开(公告)日：2022-01-13
申请号：US17239830
申请日：2021-04-26
Applicant: Massachusetts Institute of Technology
Inventor： Charles ROQUES-CARMES , Yichen Shen , Li JING , Tena DUBCEK , Scott A. SKIRLO , Hengameh BAGHERIANLEMRASKI , Marin SOLJACIC
Abstract: A photonic parallel network can be used to sample combinatorially hard distributions of Ising problems. The photonic parallel network, also called a photonic processor, finds the ground state of a general Ising problem and can probe critical behaviors of universality classes and their critical exponents. In addition to the attractive features of photonic networks—passivity, parallelization, high-speed and low-power—the photonic processor exploits dynamic noise that occurs during the detection process to find ground states more efficiently.
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Patent Agency Ranking
公开(公告)号：US20190265574A1
公开(公告)日：2019-08-29
申请号：US16284161
申请日：2019-02-25
Applicant: Massachusetts Institute of Technology
Inventor： Scott A. SKIRLO , Cheryl Marie SORACE-AGASKAR , Marin SOLJACIC , Simon VERGHESE , Jeffrey S. HERD , Paul William JUODAWLKIS , Yi YANG , Dirk Robert ENGLUND , Mihika PRABHU
Abstract: An integrated optical beam steering device includes a planar dielectric lens that collimates beams from different inputs in different directions within the lens plane. It also includes an output coupler, such as a grating or photonic crystal, that guides the collimated beams in different directions out of the lens plane. A switch matrix controls which input port is illuminated and hence the in-plane propagation direction of the collimated beam. And a tunable light source changes the wavelength to control the angle at which the collimated beam leaves the plane of the substrate. The device is very efficient, in part because the input port (and thus in-plane propagation direction) can be changed by actuating only log2 N of the N switches in the switch matrix. It can also be much simpler, smaller, and cheaper because it needs fewer control lines than a conventional optical phased array with the same resolution.
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公开(公告)号：US20180287329A1
公开(公告)日：2018-10-04
申请号：US15944360
申请日：2018-04-03
Applicant: Massachusetts Institute of Technology
Inventor： Yi YANG , Aviram MASSUDA , Charles ROQUES-CARMES , Nicholas H. RIVERA , Tena DUBCEK , John D. JOANNOPOULOS , Karl Kimon BERGGREN , Ido E. KAMINER , Marin SOLJACIC , Yujia YANG , Steven E. KOOI , Phillip Donald Keathley
Abstract: An apparatus for generating Smith-Purcell radiation having at least one spectral component at a wavelength A includes a periodic structure including a dielectric material and an electron source, in electromagnetic communication with the periodic structure, to emit an electron beam propagating within about 5λ from a surface of the periodic structure to induce emission of the Smith-Purcell radiation. The electron beam has an electron energy tunable between about 0.5 keV and about 40 keV so as to change a wavelength of the Smith-Purcell radiation.
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公开(公告)号：US20230045938A1
公开(公告)日：2023-02-16
申请号：US17736667
申请日：2022-05-04
Applicant: Massachusetts Institute of Technology
Inventor： Jacques Johannes CAROLAN , Mihika PRABHU , Scott A. SKIRLO , Yichen Shen , Marin SOLJACIC , DIRK ENGLUND , Nicholas C. HARRIS
Abstract: An optical neural network is constructed based on photonic integrated circuits to perform neuromorphic computing. In the optical neural network, matrix multiplication is implemented using one or more optical interference units, which can apply an arbitrary weighting matrix multiplication to an array of input optical signals. Nonlinear activation is realized by an optical nonlinearity unit, which can be based on nonlinear optical effects, such as saturable absorption. These calculations are implemented optically, thereby resulting in high calculation speeds and low power consumption in the optical neural network.
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公开(公告)号：US20200379504A1
公开(公告)日：2020-12-03
申请号：US16986383
申请日：2020-08-06
Applicant: Massachusetts Institute of Technology
Inventor： Jacques Johannes CAROLAN , Mihika PRABHU , Scott A. SKIRLO , Yichen Shen , Marin SOLJACIC , DIRK ENGLUND , Nicholas Christopher HARRIS
Abstract: An optical neural network is constructed based on photonic integrated circuits to perform neuromorphic computing. In the optical neural network, matrix multiplication is implemented using one or more optical interference units, which can apply an arbitrary weighting matrix multiplication to an array of input optical signals. Nonlinear activation is realized by an optical nonlinearity unit, which can be based on nonlinear optical effects, such as saturable absorption. These calculations are implemented optically, thereby resulting in high calculation speeds and low power consumption in the optical neural network.
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公开(公告)号：US20200333683A1
公开(公告)日：2020-10-22
申请号：US16842048
申请日：2020-04-07
Applicant: Massachusetts Institute of Technology
Inventor： Scott A. SKIRLO , Cheryl Marie SORACE-AGASKAR , Marin SOLJACIC , Simon VERGHESE , Jeffrey S. HERD , Paul William JUODAWLKIS , Yi YANG , DIRK ENGLUND , Mihika PRABHU
Abstract: An integrated optical beam steering device includes a planar dielectric lens that collimates beams from different inputs in different directions within the lens plane. It also includes an output coupler, such as a grating or photonic crystal, that guides the collimated beams in different directions out of the lens plane. A switch matrix controls which input port is illuminated and hence the in-plane propagation direction of the collimated beam. And a tunable light source changes the wavelength to control the angle at which the collimated beam leaves the plane of the substrate. The device is very efficient, in part because the input port (and thus in-plane propagation direction) can be changed by actuating only log2 N of the N switches in the switch matrix. It can also be much simpler, smaller, and cheaper because it needs fewer control lines than a conventional optical phased array with the same resolution.
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