Mellanox Technologies, Ltd.

Bar-ilan University

Nvidia Corporation

Ramot at Tel-aviv University Ltd.

Yissum Research Development Company of the Hebrew University of Jerusalem Ltd.

Aristotle University of Thessaloniki

Pcb Technologies Ltd.

Simtal Nano-coatings Ltd

Other

Eth Zurich

Mellanox Technologies Silicon Photonics Inc.

Nvidia Denmark Aps

Elad Mentovich

Paraskevas Bakopoulos

Itshak Kalifa

Dimitrios Kalavrouziotis

Ioannis (Giannis) Patronas

Sylvie Rockman

Yaakov Gridish

Dimitrios Syrivelis

Yuri Berk

Vladimir Iakovlev

Boaz Atias

Eitan Zahavi

Tamir Sharkaz

Juan Jose Vegas Olmos

Anna Sandomirsky

Eyal Moshe Waldman

Alon Webman

Siddha Ganju

Doron Naveh

Isabelle Cestier

Tali Septon

Matan Galanty

Eran Aharon

Dotan David Levi

Moshe Oron

Evelyn Landman

Nikolaos Argyris

Liran Liss

Liron Mula

Shachar Richter

Adi Levi

Hanan Shumacher

Donald Becker

Yosi Ben-naim

Yaniv Rotem

Dazeng Feng

Wei Qian

Alexei Sirbu

Bogdan Belgorodsky

Ludmila Fadeev

Netta Hendler

Michael Gozin

Vadim Balakhovski

Kfir Margalit

Tahir Cader

Benny Koren

Shai Cohen

Avraham Ganor

Wojciech Wasko

Ryan Kelsey Albright

Oded Wertheim

Benjamin Goska

Aviad Levy

Dan Mark Marom

Ahmad Atamlh

Yonatan Piasetzky

James Stephen Fields, Jr

Chen Stern

Eyal Drug

Morees Ghandour

Dalit Kimhi

Lion Bassat

Nikolaos (Nikos) Argyris

Wei Liu

Mehdi Asghari

Barak Gafni

Louis Bennie Capps, Jr

Yuval Itkin

George Elias

Lion Levi

Michael Lawrence Sabotta

Alexander Fish

Hillel Chapman

Ran Ravid

Avner Badihi

Alex Dikopoltsev

Joan Fong

Jacob Levy

Andrey Ger

Haggai Eran

Michael Thompson

Adam Teman

Shmuel Levy

Aaron Richard Carkin

William Andrew Mecham

William Ryan Weese

Sagi Kuks

Xin Yin

Robert Giterman

Vadim Gechman

Pierre Avner Badehi

Jose Yallouz

Susheela N Narasimhan

Eyal Babish

Yoram Zer

Jordan Levy

Nimer Hazin

Juerg Leuthold

Roee Shapiro

Michael Gandelman

Systems, computer program products, and methods are described herein for machine learning (ML) based network resilience and steering. An example system monitors data traffic across one or more network ports and determines a first data traffic pattern from the data traffic. The system further determines, via a ML subsystem, that the first data traffic pattern is indicative of a security threat to a first network port. In response to determining that the first data traffic pattern is indicative of the security threat to the first network port, the system further isolates the first network port from the one or more network ports.

Machine learning (ML) based systems for air gapping network ports

Systems, data processing systems, and methods, among other things, are disclosed. An illustrative system includes an encryption orchestrator that analyzes a packet, obtains a tenant identifier (ID) from the packet, determines whether a tenant associated with the tenant ID currently has sufficient encryption credit available, and enables an encryption resource to process the packet using an encryption key associated with the tenant ID in response to determining that the tenant associated with the tenant ID currently has sufficient encryption credit available.

On-demand formation of secure user domains

A system comprises a transmitter including first circuitry that generates a first frame of a first type for establishing a quantum-secure link with an endpoint according to a security protocol, a data source that generates a second frame of a second type for communicating data to the endpoint, an output that couples to the endpoint via a first communication channel, and second circuitry. The second circuitry selects either the first frame or the second frame, adds information to the selected frame that identifies the selected frame as being of the first type or the second type to form an output frame, and outputs the output frame to the output.

Devices, systems, and methods for integrating encryption service channels with a data path

A routing controller () includes an interface () and multiple processors (). The interface is configured to receive a permutation () defining requested interconnections between N input ports and N output ports of a Benes network (). The Benes network includes multiple 2-by-2 switches (), and is reducible in a plurality of nested subnetworks associated with respective nesting levels, down to irreducible subnetworks including a single 2-by-2 switch. The multiple processors are configured to collectively determine a setting of the 2-by-2 switches that implements the received permutation, including determining sub-settings for two or more subnetworks of a given nesting level in parallel, and to configure the multiple 2-by-2 switches of the Benes network in accordance with the determined setting.

Efficient parallelized computation of a Benes network configuration

An optoelectronic component may include a substrate, an electronic integrated circuit supported by the substrate, and a photonic integrated circuit supported by the substrate. The optoelectronic component may include a plurality of substrate interconnect connectors disposed on the substrate, a plurality of electronic integrated circuit interconnect connectors disposed on the electronic integrated circuit, and a plurality of photonic integrated circuit interconnect connectors disposed on the photonic integrated circuit. The optoelectronic component may include a first plurality of cable connectors, each cable connector connected to the substrate, the electronic integrated circuit, and the photonic integrated circuit via respective interconnect connectors. The first plurality of cable connectors may be configured to facilitate electrical communication between the substrate, the electronic integrated circuit, and the photonic integrated circuit. The first plurality of cable connectors may define a first layout, and an overall connectivity of the optoelectronic component may correspond to the first layout.

Optoelectronic component and method of manufacturing an optoelectronic component

In various examples, a 3D representation of an environment may be generated from sensor data, with objects being detected in the environment using the sensor data and stored as items that can be tracked and located within the 3D representation. The 3D representation of the environment and item information may be used to determine (e.g., identify or predict) a location or position of an item within the 3D representation and/or recommend a storage location for the item within the 3D representation. Using a determined location or position, one or more routes to the location through the 3D representation may be determined. Data corresponding to a determined route may be provided to a user and/or device. User preferences, permissions, roles, feedback, historical item data, and/or other data associated with a user may be used to further enhance various aspects of the disclosure.

3D environment reconstruction for persistent object tracking

Bi-directional quantum interconnects are provided that include a first communication module and a second communication module. The first communication module includes a first quantum transmitter and a first quantum receiver, and the second communication module includes a second quantum transmitter and a second quantum receiver. The example interconnect further includes a first communication medium communicably coupling the first communication module and the second communication module such that communication is provided between the first quantum transmitter and the second quantum receiver and between the second quantum transmitter and the first quantum receiver via the first communication medium. The first quantum transmitter and the second quantum transmitter generate qubits having first and second quantum characteristics, respectively, to allow for bi-directional quantum communication over a common channel.

Bi-directional quantum interconnects

Embodiments are disclosed for facilitating quantum computing over classical and quantum communication channels. An example system includes a network interface card (NIC) apparatus. The NIC apparatus includes an optical receiver, an embedded processor, and a network switch. The optical receiver is configured to receive qubit data via a first communication channel associated with quantum communication. The embedded processor is configured to convert the qubit data into binary bit data. The network switch is configured to output the binary bit data via a second communication channel associated with classical network communication.

Network interface card for quantum computing over classical and quantum communication channels

Methods for forming an at least partially oxidized confinement layer of a semiconductor device and corresponding semiconductor devices are provided. The method comprises forming two or more layers of a semiconductor device on a substrate. The layers include an exposed layer and a to-be-oxidized layer. The to-be-oxidized layer is disposed between the substrate and the exposed layer. The method further comprises etching, using a masking process, a pattern of holes that extend through the exposed layer at least to a first surface of the to-be-oxidized layer. Each hole of the pattern of holes extends in a direction that is transverse to a level plane that is parallel to the first surface of the to-be-oxidized layer. The method further comprises oxidizing the to-be-oxidized layer through the pattern of holes by exposing the two or more layers of the semiconductor device to an oxidizing gas to form a confinement layer.

Fabricating semiconductor devices, such as VCSELs, with an oxide confinement layer

A method for distributed allocation of data paths in an optical network () including optical switches () connected by optical links (), includes receiving a request for a data path for connecting a source node () and a destination node (). In in response to the request, one or more queries are sent, the queries corresponding to one or more candidate optical circuits that connect the source node and the destination node, the queries requesting one or more processors () to configure the optical switches along the candidate optical circuits to reserve optical channels on the optical links of the candidate optical circuits for the requested data path. An optical circuit is identified from among the candidate optical circuits, in which all the optical channels for the requested data path have been reserved successfully. The requested data path is established over the identified optical circuit.

Distributed optical circuit allocation in optical data-center networks (ODCN)

A vertical-cavity surface-emitting laser (VCSEL) is provided that includes a mesa structure disposed on a substrate. The mesa structure defines an emission axis of the VCSEL. The mesa structure includes a first reflector, a second reflector, and a cascaded active region structure disposed between the first reflector and the second reflector. The cascaded active region structure includes a plurality of cascaded active region layers disposed along the emission axis, where each of the cascade active region layers includes an active region having multi-quantum well and/or dots layers (MQLs), a tunnel junction aligned with the emission axis, and an oxide confinement layer. The oxide confinement layer is disposed between the tunnel junction and MQLs, and has an electrical current aperture defined therein. The mesa structure defines an optical window through which the VCSEL is configured to emit light.

Vertical-cavity surface-emitting laser (VCSEL) with cascaded active region

A network adapter includes a host interface and a scheduler. The host interface is configured to receive, from one or more hosts, packets for transmission to respective destinations over a network. The scheduler is configured to synchronize to a time-division schedule that is employed in the network, the time-division schedule specifying (i) multiple time-slots and (ii) multiple respective groups of the destinations that are reachable during the time-slots, and, based on the time-division schedule, to schedule transmission times of the packets to the network on time-slots during which the respective destinations of the packets are reachable.

Time-division multiplexing (TDM) scheduling in a network adapter

Processes for localized lasering of a lamination stack and graphene-coated printed circuit board (PCB) are disclosed. An example PCB may include a lamination stack, post-lamination, that may further include a core, an adhesive layer, and at least one graphene-metal structure. A top layer of graphene of the graphene-metal structure may have never been grown before the lamination process or may have been removed post-lamination such that a portion of the top layer of graphene is missing. The localized lasering process described herein may grow (for the first time) or re-grow the graphene layer of the exposed portion of the metal layer without adverse effects to the rest of the lamination stack or PCB and while promoting a uniform layer of graphene on the top surface. A process of growing graphene through application of molecular layer and a self-assembled monolayer (SAM), are also described herein.

Process for localized repair of graphene-coated lamination stacks and printed circuit boards

Embodiments are disclosed for a quantum key distribution (QKD) enabled intra-datacenter network. An example system includes a first QKD device and a second QKD device. The first QKD device includes a first quantum-enabled port and a first network port. The second QKD device includes a second quantum-enabled port and a second network port. The first quantum-enabled port of the first QKD device is communicatively coupled to the second quantum-enabled port of the second QKD device via a QKD link associated with quantum communication. Furthermore, the first network port of the first QKD device is communicatively coupled to a first network switch via a first classical link associated with classical network communication. The second network port of the second QKD device is communicatively coupled to a second network switch via a second classical link associated with classical network communication.

Quantum key distribution enabled intra-datacenter network

A network interface controller includes processing circuitry configured to pair with a local root of trust of a host device connected to the network interface controller and provide a key to an encryption device of the host device that enables the encryption device to encrypt data of one or more host device applications using the key. The encrypted data are stored in host device memory. The processing circuitry is configured to share the key with a remote endpoint and forward the encrypted data from the host device memory to the remote endpoint.

Systems, methods, and devices for encrypted data transfer using a NIC and distributed root of trust

Growing community of inventors

Tel Aviv, Israel

Elad Mentovich