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Research Roundup for July 2022

Understanding this breakthrough requires a fair amount of background. Most readers will know that a quantum advantage is when a quantum computer answers a problem with a dramatically better runtime than a classical computer and that verifiability means it is easy to check that the answer is correct. The structure that is mentioned in the title of the paper refers to the distinction between periodic functions and random functions. The former are important to famous quantum algorithms such as Shor’s, while the latter are important in cryptography. The authors of the paper devised their own unusual problem to which several valid answers are possible. They considered a quantum processor that can give a superposition of inputs to a random oracle function and a normal computer that can only access the function classically. They showed that this setup produces a verifiable quantum advantage despite there not being any structure in the problem that the quantum computer could exploit. Research Roundup for July 2022 – Quantum Computing Report

How CCE brings changes to securing critical infrastructure

The recent attacks against critical infrastructures have led to new approaches to security solutions, such as Consequence-driven Cyber-informed Engineering. Consequence-driven Cyber-informed Engineering, or CCE, is an approach for safeguarding critical infrastructure systems. To put it briefly, CCE is about imagining the worst possible outcome of a cyber threat perpetrator, and then building a non-cyber or physical mitigation to lessen the possibility of a disaster occurring. https://cybermagazine.com/network-security/how-cce-brings-changes-to-securing-critical-infrastructure

New hardware created by Stanford team shows a way to develop delicate quantum technologies based on tiny mechanical devices

Stanford University researchers have developed a key experimental device for future quantum physics-based technologies that borrows a page from current, everyday mechanical devices. Reliable, compact, durable, and efficient, acoustic devices harness mechanical motion to perform useful tasks. A prime example of such a device is the mechanical oscillator. When displaced by a force – like sound, for instance – components of the device begin moving back-and-forth about their original position. https://news.stanford.edu/2022/04/21/new-hardware-integrates-mechanical-devices-quantum-tech/

AI Career Notes: May 2022 Edition 

NTT Research, Inc., a division of NTT, appointed Dr. Al Emondi as its head of partner strategy. Emondi joined NTT Research in March 2022 on a contract basis as part of its leadership advisory team. He is also president and chief executive officer of Piontier, LLC, a technology development and neurotech product line consultancy. https://www.enterpriseai.news/2022/05/10/ai-career-notes-may-2022-edition/

New hardware integrates mechanical devices into quantum tech

Stanford University researchers have developed a key experimental device for future quantum physics-based technologies that borrows a page from current, everyday mechanical devices. Reliable, compact, durable, and efficient, acoustic devices harness mechanical motion to perform useful tasks. A prime example of such a device is the mechanical oscillator. When displaced by a force – like sound, for instance – components of the device begin moving back-and-forth about their original position. Creating this periodic motion is a handy way to keep time, filter signals, and sense motion in ubiquitous electronics, including phones, computers, and watches. https://scienmag.com/new-hardware-integrates-mechanical-devices-into-quantum-tech/

How to Make the Universe Think for Us

Inside a soundproofed crate sits one of the world’s worst neural networks. After being presented with an image of the number 6, it pauses for a moment before identifying the digit: zero. Peter McMahon, the physicist-engineer at Cornell University who led the development of the network, defends it with a sheepish smile, pointing out that the handwritten number looks sloppy. Logan Wright, a postdoc visiting McMahon’s lab from NTT Research, assures me that the device usually gets the answer right, but acknowledges that mistakes are common. “It’s just this bad,” he said. https://www.quantamagazine.org/how-to-make-the-universe-think-for-us-20220531/

AI And ML Think Green

The artificial intelligence (AI) market is growing fast. One powerful subset of AI is machine learning (ML), which involves not predefined instructions and fixed algorithms but learned patterns over artificial neural networks. Developers have used ML to solve mission-critical problems with high speed and accuracy in a wide range of domains, including agriculture, e-commerce, education, finance, manufacturing, medicine, networking, transportation and more. For many IT practitioners and consultants, ML is a matter of not if but when and how. They are asking themselves questions such as, “What’s my use case, design and scale? Which ML techniques will I deploy (language processing, classification, anomaly detection, etc.)? How will I deploy—DIY or with external help—and train the model?” https://www.forbes.com/sites/forbestechcouncil/2022/04/13/ai-and-ml-think-green/?sh=c99d62941a9d

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