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Field-Programmable Ising Machines (FPIM)

Certain difficult optimization problems, such as the traveling salesman problem, can be solved using so-called analog Ising machines, in which electronic components (such as certain arrangements of diodes or electronic switches) implement an analog of a well-studied physical system known as an Ising machine. The problem is recast so that its solution can be read off from the lowest-energy configuration of the analog Ising machine, a state which the system will naturally evolve towards. While promising, this methodology suffers major drawbacks. Firstly, the number of subunits, known as “spins”, in the analog Ising machines, as well as the number of connections between these subunits, can grow substantially with problem size. Secondly, existing implementations of this principle rely on chip constructions which are optimized for one or a few problems, and are not sufficiently reprogrammable to be repurposed efficiently for other applications. To address these problems, researchers at UC Berkeley have developed a device known as a Field-programmable Ising machine which can be adapted to implement an analog Ising machine using a variety of hardware designs, such as the diodes and switches mentioned above. These Ising machines can be effectively reprogrammed to efficiently solve a wide array of problems across various domains. The inventors have shown that this design can be applied to SAT (“Satisfiability”) problems, a class known to be similar to the traveling salesman problem, in that the number of spins needed and their level of connectivity do not grow too quickly with problem size.

Corf: Coalescing Operand Register File For Graphical Processing Units

Modern Graphical Processing Units (GPUs) consist of several Streaming Multiprocessors (SM) – each has its own Register File (RF) and a number of integers, floating points and specialized computational cores. GPU program is decomposed into one or more cooperative thread arrays that are scheduled to the SMs. GPUs invest in large RFs to enable fine-grained and fast switching between executing groups of threads. This results in RFs being the most power hungry components of the GPU. The RF organization substantially affects the overall performance and energy efficiency of the GPU.

Magneto-Optic Modulator

Brief description not available

Vibration Sensing and Long-Distance Sounding with THz Waves

UCLA researchers in the Department of Electrical and Computer Engineering have developed a terahertz (THz) detector that utilizes the micro-Doppler effect to detect vibrations and long-distance sounds.

Compact Ion Gun for Ion Trap Surface Treatment in Quantum Information Processing Architectures

Electromagnetic noise from surfaces is one of the limiting factors for the performance of solid state and trapped ion quantum information processing architectures. This noise introduces gate errors and reduces the coherence time of the systems. Accordingly, there is great commercial interest in reducing the electromagnetic noise generated at the surface of these systems.Surface treatment using ion bombardment has shown to reduce electromagnetic surface noise by two orders of magnitude. In this procedure ions usually from noble gasses are accelerated towards the surface with energies of 300eV to 2keV. Until recently, commercial ion guns have been repurposed for surface cleaning. While these guns can supply the ion flux and energy required to prepare the surface with the desired quality, they are bulky and limit the laser access, making them incompatible with the requirements for ion trap quantum computing.To address this limitation, UC Berkeley researchers have developed an ion gun that enables in-situ surface treatment without sacrificing high optical access, enabling in situ use with a quantum information processor.

Iii-N Transistor With Stepped Cap Layers

A new structure for III-N transistors that is able to maintain a high breakdown and operating voltage while improving the gain of the device.

Techniques for Creation and Insertion of Test Points for Malicious Circuitry Detection

Researchers led by Dr. Potkonjak from the UCLA Department of Computer Science have developed a technique to detect hardware Trojans in integrated circuits.

Selective Deposition Of Diamond In Thermal Vias

UCLA researchers in the Department of Materials Science & Engineering have developed a new method of diamond deposition in integrated circuit vias for thermal dissipation.

Multiple-absorbers offer increased solar conversion efficiencies for artificial photosynthesis

   Researchers at UCI have, for the first time, developed a method for modeling the efficiencies of artificial photosynthetic devices containing multiple light absorbers. As these devices more closely parallel naturally occurring photosynthesis, they offer higher performance than standard single-absorber devices.

A Read-Disturbance-Free Nonvolatile Content Adressable Memory

UCLA researchers in the Department of Electrical Engineering have developed read-disturbance-free content addressable memory (CAM) using voltage controlled magneto-electric tunnel junctions (MEJs).

Multiple-Bits-Per-Cell Voltage-Controlled Magnetic Memory

UCLA researchers in the Department of Electrical and Computer Engineering have developed a new random access memory read/write method that achieves new levels of speed, scalability, and memory density.

RASP: FPGA/CPLD Technology Mapping And Synthesis Package

Researchers led by Jason Cong from the Computer Science Department at UCLA have developed a general synthesis and mapping system for SRAM-based FPGAs.

Controlling Magnetization Using Patterned Electrodes on Piezoelectrics

UCLA researchers in the Department of Materials Science and Engineering have developed a novel piezoelectric thin film that can control magnetic properties of individual magnetic islands.

Synaptic Resistor With Signal Processing, Memory, And Learning Functions

Researchers led by Yong Chen from the Department of Mechanical and Aerospace Engineering have developed an artificial synapse for neuromorphic chips that have integrated logic, memory, and learning capabilities.

Anti-Ferromagnetic Magneto-Electric Spin-Orbit Read Logic

UCLA researchers in the department of Electrical Engineering have developed a novel magetoelectric device for use as a spin transistor.

Tunnel Junction Devices with Optically-Pumped III-Nitride Layers

A method of replacing standard electrical injection of the quantum wells in semiconductor devices with optically-pumping, by coupling a short-wavelength electrically pumped active region to a long-wavelength optically pumped region via a tunnel junction.

Epitaxial Laser Integration on Silicon Based Substrates

A low-cost, highly scalable approach to integrating a compound-semiconductor laser or light source with silicon-photonic circuitry.

Frequency Discriminator-based Phase Noise Filter (PNF) for Ultra-Clean LO/Clock

Researchers at the University of California, Davis have developed a phase noise filter (PNF) circuit with wide bandwidth and high sensitivity.

Hybrid SPST Switch Delivers High Isolation Over an Ultra-wide Bandwidth

Researchers at the University of California, Davis have developed a hybrid, complementary metal-oxide semiconductor (CMOS) mm-wave, single-polar single-throw (SPST) switch that combines the wide bandwidth features of a distributed structure and the compact implementation of coupled lump elements for an area-efficient layout.

Tru-Wafer Interconnects For Mems Double-Sided Fabrication Process

-High aspect ratio, low resistance thru-wafer interconnects for double-sided MEMS -Features: o Enables efficient manufacturing of thru-wafer interconnects o Technology is compatible with standard semiconductor processing o SOI inertial sensors and interconnects fabricated on wafer level in one process

Realization Of Artificial Magnetic Skyrmions At Room Temperature

Researchers at University of California – Davis have developed a novel method to achieve artificial magnetic skyrmions at room temperature. The invention is suitable for exploration of magnetic skyrmions towards highly energy efficient magnetic information storage, such as high density magnetic recording, magnetic sensors, non-volatile magnetic memory and logic devices

Referenceless Clock Recovery Circuit with Wide Frequency Acquisition Range

The technology is a circuit that recovers a full-rate clock signal from a random digital data signal. Properties include: achieves frequency and phase locking in a single loop and a wide acquisition range.

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