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System Bits: Oct. 16


Solving the quantum verification problem UC Berkeley doctoral candidate Urmila Mahadev spent 8 years in graduate school solving one of the most basic questions in quantum computation, which is how to know whether a quantum computer has done anything quantum at all, according to Quanta Magazine. In her paper, Mahadev presents the first protocol allowing a classical computer to interactively ... » read more

System Bits: Oct. 9


Sensing with light pulses In a development expected to be useful in applications including distance measurement, molecular fingerprinting and ultrafast sampling, EPFL researchers have found a way to implement an optical sensing system by using spatial multiplexing, a technique originally developed in optical-fiber communication, which produces three independent streams of ultrashort optical pu... » read more

System Bits: Oct. 2


Computer algorithms exhibit prejudice based on datasets Researchers at Cardiff University and MIT have shown that groups of autonomous machines are capable of demonstrating prejudice by identifying, copying, and learning this behavior from one another. The team noted that while it may seem that prejudice is a human-specific phenomenon that requires human cognition to form an opinion of, or ... » read more

System Bits: Sept. 25


Schottky diodes: One 2D material equation to rule them all Specifying the right materials for the heterostructure of 2D Schottky diodes—which consist of a metal touching a semiconductor—means designers have to wade through sometimes conflicting theoretical models to select materials. “It is not uncommon to see a model, whose underlying physics fundamentally contradicts with the physical ... » read more

System Bits: Sept. 18


Better AI technique for chemistry predictions CalTech researchers have found a new technique that uses machine learning more effectively to predict how complex chemicals will react to reagents. The tool is a new twist on similar machine learning techniques to find more effective catalysts without having the time-consuming trial-and-error research, making it a time-saver for drug researchers. ... » read more

System Bits: Sept. 11


Researchers ‘teleport’ a quantum gate In a key architectural step for building modular quantum computers, Yale University researchers have demonstrated the teleportation of a quantum gate between two qubits, on demand. [caption id="attachment_24137942" align="alignleft" width="300"] A network overview of the modular quantum architecture demonstrated in the new study.Source: Yale Universit... » read more

System Bits: Sept. 4


Quantum material is both conductor, insulator University of Michigan researchers reminded that quantum materials are a type of odd substance that could be many times more efficient at conducting electricity through a mobile device like an iPhone than the commonly used conductor silicon if physicists could figure out how they work. Now, a University of Michigan physicist has taken a step clo... » read more

System Bits: Aug. 28


Characterizing quantum computers To accelerate and simplify the imposing task of diagnosing quantum computers, a Rice University computer scientist and his colleagues have proposed a method to do just this. The development of a nonconventional method as a diagnostic tool for powerful, next-generation computers that depend on the spooky actions of quantum bits — aka qubits — which are sw... » read more

System Bits: Aug. 21


Two types of computers create faster, less energy-intensive image processor for autonomous cars, security cameras, medical devices Stanford University researchers reminded that the image recognition technology that underlies today’s autonomous cars and aerial drones depends on artificial intelligence. These are the computers that essentially teach themselves to recognize objects like a dog, ... » read more

System Bits: Aug. 14


Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors In an effort to improve the quality of life for patients by reducing toxic chemotherapy and radiotherapy dosing for glioblastoma, the most aggressive form of brain cancer, MIT researchers are employing novel machine-learning techniques. According to the team, glioblastoma is a malignant tumor ... » read more

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