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Category: information science – Page 320

Progress Towards Using Quantum Computers for Solving Quantum Chemistry and Machine Learning

IonQ used its trapped-ion computer and a scalable co-design framework for solving chemistry problems. They applied it to compute the ground-state energy of the water molecule. The robust operation of the trapped ion quantum computer yields energy estimates with errors approaching the chemical accuracy, which is the target threshold necessary for predicting the rates of chemical reaction dynamics.

Quantum chemistry is a promising application where quantum computing might overcome the limitations of known classical algorithms, hampered by an exponential scaling of computational resource requirements. One of the most challenging tasks in quantum chemistry is to determine molecular energies to within chemical accuracy.

At the end of 2018, IonQ announced that they had loaded 79 operating qubits into their trapped ion system and had loaded 160 ions for storage in another test. This new research shows that they are making progress applying their system to useful quantum chemistry problems. They are leveraging the trapped-ions system longer stability to process many steps. The new optimization methods developed for this first major quantum chemistry problem can also be used to solve significant optimization and machine learning problems.

Israeli team develops way to find genetic flaws in fetus at 11 weeks

Researchers at Tel Aviv University say they have developed a new, noninvasive method of discovering genetic disorders that can let parents find out the health of their fetus as early as 11 weeks into pregnancy.

A simple blood test lets doctors diagnose genetic disorders in fetuses early in pregnancy by sequencing small amounts of DNA in the mother’s and the father’s blood. A computer algorithm developed by the researchers analyzes the results of the sequencing and then produces a “map” of the fetal genome, predicting mutations with 99 percent or better accuracy, depending on the mutation type, the researchers said in a study published Wednesday in Genome Research.

The algorithm is able to distinguish between the genetic material of the parents and that of the fetus, said Prof. Noam Shomron of Tel Aviv University’s Sackler School of Medicine led the research, in a phone interview with The Times of Israel.

OpenAI’s GPT-2 algorithm is good in knitting fake news

Fake. Dangerous. Scary. Too good. When headlines swim with verdicts like those then you suspect, correctly, that you’re in the land of artificial intelligence, where someone has come up with yet another AI model.

So, this is, GPT-2, an algorithm and, whether it makes one worry or marvel, “It excels at a task known as language modeling,” said The Verge, “which tests a program’s ability to predict the next word in a given sentence.”

Depending on how you look at it, you can blame, or congratulate, a team at California-based OpenAI who created GPT-2. Their language modeling program has written a convincing essay on a topic which they disagreed with.

Turning Light into Matter May Soon Be Possible

Circa 2014

Scientists may soon create matter entirely from light, using technology that is already available to complete a quest 80 years in the making.

The experiment would re-create events that were critical in the first 100 seconds of the universe and that are also expected to happen in gamma-ray bursts, the most powerful explosions in the cosmos and one of the greatest unsolved mysteries in physics, researchers added.

As Einstein’s famous equation E=mc proved, mass can get converted into energy and vice versa. For instance, when an electron meets its antimatter counterpart, a positron, they annihilate each other, releasing photons, the particles making up light.

A Report from the Longevity Therapeutics Summit

The Longevity Therapeutics Summit was focused on therapeutics that target aging, rather than basic research or theory.

This was the first year for the Longevity Therapeutics Summit in San Francisco, California. Ably organized by Hanson Wade, with John Lewis, CEO of Oisín Biotechnologies, as program chair, the conference focused on senolytics for senescent cell clearance, big data and AI in finding new drugs (“in silico” testing), delivery systems for therapeutics like senolytics, TORC1 drugs, and biomarkers of aging, and the challenges of clinical trial development and FDA approval.

The conference featured a smorgasbord of cutting-edge longevity research, and, as the name implies, the general focus was on therapeutics that target aging, rather than basic research or theory.

Ned David, CEO of Unity Biotechnology, kicked off the conference with a talk about the company’s latest research on senolytics, which clear away senescent (“zombie”) cells, which secrete harmful chemicals that can cause neighboring cells to also become senescent. Unity has made the news recently with an extension request for its clinical trial of its first-in-class senolytics for osteoarthritis. Its preliminary Phase 1 clinical trial results were deemed “safe,” a major step in obtaining FDA approval, and the full results will be available later this year or in 2020.

Bill Gates: Textbooks are ‘becoming obsolete’— here’s the best way to learn today

“I read more than my share of textbooks,” Gates says. “But it’s a pretty limited way to learn something. Even the best text can’t figure out which concepts you understand and which ones you need more help with.”

Software can be used to create a much more dynamic learning experience, he says.

Gates gives the example of learning algebra. “Instead of just reading a chapter on solving equations, you can look at the text online, watch a super-engaging video that shows you how it’s done, and play a game that reinforces the concepts,” he writes. “Then you solve a few problems online, and the software creates new quiz questions to zero in on the ideas you’re not quite getting.”

One step closer to complex quantum teleportation

Circa 2018

The experimental mastery of complex quantum systems is required for future technologies like quantum computers and quantum encryption. Scientists from the University of Vienna and the Austrian Academy of Sciences have broken new ground. They sought to use more complex quantum systems than two-dimensionally entangled qubits and thus can increase the information capacity with the same number of particles. The developed methods and technologies could in the future enable the teleportation of complex quantum systems. The results of their work, “Experimental Greenberger-Horne-Zeilinger entanglement beyond qubits,” is published recently in the renowned journal Nature Photonics.

Similar to bits in conventional computers, qubits are the smallest unit of in . Big companies like Google and IBM are competing with research institutes around the world to produce an increasing number of entangled qubits and develop a functioning quantum computer. But a research group at the University of Vienna and the Austrian Academy of Sciences is pursuing a new path to increase the information capacity of complex quantum systems.

The idea behind it is simple: Instead of just increasing the number of particles involved, the complexity of each is increased. “The special thing about our experiment is that for the first time, it entangles three photons beyond the conventional two-dimensional nature,” explains Manuel Erhard, first author of the study. For this purpose, the Viennese physicists used quantum systems with more than two possible states—in this particular case, the angular momentum of individual light particles. These individual photons now have a higher than qubits. However, the entanglement of these light particles turned out to be difficult on a conceptual level. The researchers overcame this challenge with a groundbreaking idea: a computer algorithm that autonomously searches for an experimental implementation.

Everything will change with the advent of the laptop quantum computer (QC)

The transition from PCs to QCs will not merely continue the doubling of computing power, in accord with Moore’s Law. It will induce a paradigm shift, both in the power of computing (at least for certain problems) and in the conceptual frameworks we use to understand computation, intelligence, neuroscience, social interactions, and sensory perception.

Today’s PCs depend, of course, on quantum mechanics for their proper operation. But their computations do not exploit two computational resources unique to quantum theory: superposition and entanglement. To call them computational resources is already a major conceptual shift. Until recently, superposition and entanglement have been regarded primarily as mathematically well-defined by psychologically incomprehensible oddities of the quantum world—fodder for interminable and apparently unfruitful philosophical debate. But they turn out to be more than idle curiosities. They are bona fide computational resources that can solve certain problems that are intractable with classical computers. The best known example is Peter Shor’s quantum algorithm which can, in principle, break encryptions that are impenetrable to classical algorithms.

The issue is the “in principle” part. Quantum theory is well established and quantum computation, although a relatively young discipline, has an impressive array of algorithms that can in principle run circles around classical algorithms on several important problems. But what about in practice? Not yet, and not by a long shot. There are formidable materials-science problems that must be solved—such as instantiating quantum bits (qubits) and quantum gates, and avoiding an unwanted noise called decoherence—before the promise of quantum computation can be fulfilled by tangible quantum computers. Many experts bet the problems can’t adequately be solved. I think this bet is premature. We will have laptop QCs, and they will transform our world.

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