Abstract: Systems and methods are disclosed herein for a Convex Reduction of Amplitude (CRAM) based processing scheme for a Multiple Input Multiple Output (MIMO) Orthogonal Division Multiplexing (OFDM) transmitter system. In one embodiment, a method performed by a processing system for a MIMO OFDM transmitter system comprises precoding frequency-domain input signals to provide frequency-domain precoded signals for multiple subcarriers. The method further comprises processing the frequency-domain precoded signals in accordance with a CRAM-based processing scheme to provide time-domain precoded signals for respective transmit branches of the MIMO OFDM transmitter system. The CRAM-based processing scheme uses projection matrices for the subcarriers, respectively, to project clipping energy into a null space of the MIMO OFDM transmitter system. Further, the projection matrices are a function of static or semi-static information that defines the null space of the MIMO OFDM transmitter system.

Abstract: Systems and methods are disclosed herein that relate to Peak-to-Average Power Ratio (PAPR) reduction in a MIMO OFDM transmitter system. In some embodiments, a method of operation of a transmitter system includes, for each carrier of two or more carriers, performing precoding of frequency-domain input signals for the carrier to provide frequency-domain precoded signals for the carrier, the frequency-domain input signals for the carrier being for a plurality of transmit layers for the carrier, respectively. The method further includes processing the two or more pluralities of frequency-domain precoded signals for the two or more carriers, respectively, in accordance with a multi-carrier processing scheme to provide a plurality of multi-carrier time-domain transmit signals for a plurality of antenna branches, respectively, of the MIMO OFDM transmitter system.

Abstract: The disclosure describes a cryogenic device with a display device for displaying one of a plurality of user-interfaces associated with a plurality of cryogenic device states. The cryogenic device is configured to: generate an initial user-interface for display on the display device; determine that the cryogenic device is in a first state; generate, in response to determining that the cryogenic device is in the first state, instructions for rendering a first user-interface, wherein the first user-interface is associated with the first state; and cause the display device to display the first user-interface. In this way, the cryogenic device may have a dynamic user interface that is configured to response to states of the cryogenic device.

Abstract: Systems and methods are disclosed herein that relate to Peak-to-Average Power Ratio (PAPR) reduction in a MIMO OFDM transmitter system. In some embodiments, a method of operation of a transmitter system includes, for each carrier of two or more carriers, performing precoding of frequency-domain input signals for the carrier to provide frequency-domain precoded signals for the carrier, the frequency-domain input signals for the carrier being for a plurality of transmit layers for the carrier, respectively. The method further includes processing the two or more pluralities of frequency-domain precoded signals for the two or more carriers, respectively, in accordance with a multi-carrier processing scheme to provide a plurality of multi-carrier time-domain transmit signals for a plurality of antenna branches, respectively, of the MIMO OFDM transmitter system.

Abstract: A method and network node for detection of passive intermodulation (PIM) are disclosed. According to one aspect, a method includes determining values of a covariance matrix based at least in part on uplink signals received by the network node radio. The method also includes determining a plurality of uplink (UL) channel 5 eigenvalues based at least in part on an eigen-component acquisition technique. The method further includes determining a presence or absence of PIM based at least in part on a plurality of the UL channel eigenvalues.

Abstract: The disclosure describes a cryogenic device with a display device for displaying one of a plurality of user-interfaces associated with a plurality of cryogenic device states. The cryogenic device is configured to: generate an initial user-interface for display on the display device; determine that the cryogenic device is in a first state; generate, in response to determining that the cryogenic device is in the first state, instructions for rendering a first user-interface, wherein the first user-interface is associated with the first state; and cause the display device to display the first user-interface. In this way, the cryogenic device may have a dynamic user interface that is configured to response to states of the cryogenic device.

Abstract: In a convergent-divergent flap pair for a turbojet engine nozzle of the variable-geometry convergent-divergent type, the convergent flap and the divergent flap including respective ducts for circulation of cooling air connected to one another to allow cooling of each of the flaps. The duct of the divergent flap includes an impingement cooling cavity defined by two walls of lateral ends provided with air passage orifices through which the impingement cooling cavity opens towards the outside.

Abstract: In one embodiment, a device classification service uses feature vectors that represent how frequently one or more traffic features were observed in a network during different time windows to train a cascade of machine learning classifiers to label one or more devices in the network with a device type. The service receives traffic features of traffic associated with a particular device in the network, and then uses the cascade of machine learning classifiers to assign a device type label to the particular device based on the traffic features of the traffic associated with the particular device. The service initiates enforcement of a network policy regarding the device based on its device type based on the device type label assigned to the particular device.

Abstract: In one embodiment, a device receives application experience metrics for a software-as-a-service application served by a plurality of application endpoints. The device generates, based on the application experience metrics, a predictive model that predicts application experience scores for connections between a service provider network and the plurality of application endpoints. The device selects a particular application endpoint for the service provider network, based on an application experience score predicted by the predictive model. The device sends an indication an indication of the particular application endpoint selected by the device to the software-as-a-service application. The indication is used to assign a connection between the service provider network and the particular application endpoint.

Abstract: In various embodiments, a device classification service obtains device telemetry data indicative of declarative attributes of a device in a network and indicative of behavioral attributes of that device. The device classification service labels the device with a device type, based on the device telemetry data. The device classification service detects device type spoofing exhibited by the device using a model that models a relationship between the declarative attributes and the behavioral attributes. The device classification service initiates, based on the device type spoofing, a mitigation action regarding the device.

Abstract: In one embodiment, a device obtains behavioral metrics for application traffic in a network for a plurality of applications. The device identifies a first application and a second application from among the plurality of applications as fate sharing applications, based on a correlation between the behavioral metrics for their application traffic. The device generates a configuration change for the network that would prevent the first application and the second application from being fate sharing applications, when application traffic for the first application negatively affects the behavioral metrics for the application traffic of the second application. The device causes the configuration change to be implemented in the network.

Abstract: In one embodiment, a device uses a classification model to determine whether implementation of a routing change suggested by a predictive routing engine for a network will result in a violation of one or more network policies. The device computes a trust score, based on performance metrics for the classification model. The device causes, based in part on the trust score, implementation of the routing change in the network, when the classification model determines that application of the routing change will not result in a violation of the one or more network policies.

Abstract: In one embodiment, a device obtains user experience metrics for a plurality of sessions with an online application. The device detects a plurality of anomalies from among the user experience metrics. The device determines, based on a correlation between the plurality of anomalies, that a particular path entity is a root cause of the plurality of anomalies. The particular path entity comprises an egress service provider or data center of the online application. The device provides an indication of the particular path entity being the root cause of the plurality of anomalies.

Abstract: A method for determining an optimal spin/charge conversion operating point in a system including a pair of quantum dots including first and second quantum dots, the pair of quantum dots containing two charged particles and adopting a first charge state (2,0) in which both charged particles are in the first quantum dot, a second charge state (1,1) in which each quantum dot contains a charged particle, or a third charge state (0,2) in which both charged particles are in the second quantum dot, the charge state being a function of the voltage applied to at least two gates, the value of these voltages defining an operating point of the pair of quantum dots; the charged particles adopting a first spin state, called singlet spin state S, or a second spin state, called triplet spin state among the triplet spin state T0 or the triplet spin state T+/T?.

Abstract: A method for determining an isolated operating point associated with an isolated regime of a system including first and second subsystems, for which isolated operating point a passage of a charged particle from the first subsystem to the second subsystem and vice versa is forbidden for a reference duration, the first subsystem and/or the second subsystem containing zero, one or more charged particles, a tunnel coupling existing between the first subsystem and the second subsystem, the tunnelling rate allowing exchange of one or more charged particles between the first subsystem and the second subsystem and being modulated by a gate voltage applied to one or more gates configured to form a potential barrier between the first subsystem and the second subsystem, an operating point of the system being determined by the value assumed by each gate voltage, this tunnel coupling being further quantified by a tunnelling rate noted ?.

Abstract: A method for determining the conversion factor between a voltage applied to the gates of a system and the tunnel coupling ?QD between both quantum dots of the pair of quantum dots, the system including a pair of quantum dots containing two charged particles and including a first quantum dot and a second quantum dot, and the tunnel coupling ?QD between both quantum dots of the pair of quantum dots being modulated using a plurality of gates, a set of voltages applied to the gates of the plurality of gates defining an operating point of the system, the pair of quantum dots being in one charge state from the charge state {2,0}, the charge state {1,1} and the charge state {0,2}, and both charged particles adopting either a singlet spin state S or a triplet spin state T0 or a triplet spin state T+/T?.

Abstract: In one embodiment, a network element in a network receives one or more machine learning models configured to make an inference about the network. The network element requests, according to a predefined peering plan, telemetry attribute data from one or more peer network elements specified by the peering plan. The network element receives the telemetry attribute data from the one or more peer network elements. The network element makes, using the one or more machine learning models, an inference about the network based in part on the received telemetry attribute data.

Abstract: An elementary cell for a two-dimensional array of quantum dots, said elementary cell extending along a main plane and including: a plurality of sites occupied by quantum dots capable of confining at least one spin qubit and including at least: a first quantum dot, a second quantum dot adjacent to the first quantum dot in a first direction of the main plane, and a third quantum dot adjacent to the first quantum dot in a second direction of the main plane; and a first blocking site adjacent to the second and third quantum dots, towards which a spin qubit cannot be displaced.