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.

Abstract: Modulating graphene's optical conductivity with an electrolyte nanopatterning technique reduces or eliminates scattering loss caused by rough edges from etching. This technique uses a resist mask patterned with features as small as 30 nm to shield graphene from ions in an electrolyte. It can provide a carrier density variation of about 1014 cm?2 across a length of just 15 nm. And it can be combined with a technique of growing or transferring graphene on atomically smooth hexagonal boron nitride (hBN) to increase graphene's carrier mobility, e.g., to 10,000 cm2/(V·s) or more. The resulting graphene metamaterials can be used to make voltage-tunable electro-optical devices, such as beam-steering devices, electro-optical switch and modulators, and reconfigurable holograms.

Abstract: The Zeeman shift of electronic spins in nitrogen-vacancy (NV) centers in diamond has been exploited in lab-scale instruments for ultra-high-resolution, vector-based magnetic sensing. A quantum magnetometer in CMOS utilizing a diamond-nanocrystal layer with NVs or NV-doped bulk diamond on a chip-integrated system provides vector-based magnetic sensing in a compact package. The system performs two functions for the quantum magnetometry: (1) strong generation and efficient delivery of microwave for quantum-state control and (2) optical filtering/detection of spin-dependent fluorescence for quantum-state readout. The microwave delivery can be accomplished with a loop inductor or array of wires integrated into the chip below the nanodiamond layer or diamond. And the wire array can also suppress excitation light using a combination of plasmonic and (optionally) Talbot effects.

Abstract: Systems and methods for graphene photodetectors are disclosed herein. A device for detecting photons can include a waveguide and at least one graphene layer disposed proximate to the waveguide. An insulating layer can be disposed between the waveguide and the graphene layer. A first electrode can be connected to a first end of the graphene layer, and a second electrode can be connected to a second end of the graphene layer opposite the first end.

Abstract: Compactly-integrated electronic structures and associated systems and methods are provided. Certain embodiments relate to the ability to integrate nanowire-based detectors with optical components.

Abstract: Electrical control of the emitter of a coupled quantum emitter-resonant cavity structure is provided. Electrodes are disposed near a semiconductor quantum dot coupled to a semiconductor optical cavity such that varying an applied bias at the electrodes alters an electric field at the quantum dot. Optical input and output ports are coupled to the cavity, and an optical response of the device relates light emitted from the output port to light provided to the input port. Altering the applied bias at the electrodes is capable of altering the optical response. Preferably, the closest electrode to the cavity is disposed between or away from angular lobes of the cavity mode, to reduce loss caused by the proximity of electrode to cavity. The present approach is applicable to both waveguide-coupled devices and non-waveguide devices.

Abstract: Aspects of the disclosure are directed to optical microcavities and emitters that are spectrally aligned in an arrangement having an array of such microcavity-emitter combinations. The spectral alignment can be selective, in that a portion of the array of microcavity-emitter combinations, or a single microcavity-emitter combination, can be individually spectrally aligned. In specific examples, light is coupled within a semiconductor device having wavelength-dependent structures and optical cavities optically couple to the wavelength-dependent structures. One of the optical cavities and a wavelength-dependent structure are spectrally aligned, independent of another of the optical cavities.

Abstract: Electrical control of the emitter of a coupled quantum emitter-resonant cavity structure is provided. Electrodes are disposed near a semiconductor quantum dot coupled to a semiconductor optical cavity such that varying an applied bias at the electrodes alters an electric field at the quantum dot. Optical input and output ports are coupled to the cavity, and an optical response of the device relates light emitted from the output port to light provided to the input port. Altering the applied bias at the electrodes is capable of altering the optical response. Preferably, the closest electrode to the cavity is disposed between or away from angular lobes of the cavity mode, to reduce loss caused by the proximity of electrode to cavity. The present approach is applicable to both waveguide-coupled devices and non-waveguide devices.

Abstract: Aspects of the disclosure are directed to optical microcavities and emitters that are spectrally aligned in an arrangement having an array of such microcavity-emitter combinations. The spectral alignment can be selective, in that a portion of the array of microcavity-emitter combinations, or a single microcavity-emitter combination, can be individually spectrally aligned. In specific examples, light is coupled within a semiconductor device having wavelength-dependent structures and optical cavities optically couple to the wavelength-dependent structures. One of the optical cavities and a wavelength-dependent structure are spectrally aligned, independent of another of the optical cavities.

Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.

Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.

Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.

Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.

Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.

Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.

Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.

Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.