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Researchers have investigated the capability of known quantum computing algorithms for fault-tolerant quantum computing to simulate the laser-driven electron dynamics of excitation and ionization processes in small molecules. Their research is published in the Journal of Chemical Theory and Computation.

“These quantum algorithms were originally developed in a completely different context. We used them here for the first time to calculate electron densities of , in particular their dynamic evolution after excitation by a ,” says Annika Bande, who heads a group on at Helmholtz Association of German Research Centers (HZB). Bande and Fabian Langkabel, who is doing his doctorate with her, show in the study how well this works.

“We developed an algorithm for a fictitious, completely error-free quantum computer and ran it on a classical server simulating a quantum computer of ten qubits,” says Langkabel. The scientists limited their study to smaller molecules in order to be able to perform the calculations without a real quantum computer and to compare them with conventional calculations.

It’s difficult to trace the epidemiology since the patient didn’t travel, the mutations in the viruses are small and international travel in and out of New York is heavy, he said.

“With a single case there’s no way to know exactly how many infections there were between the vaccine vial and the paralyzed person,” Oberste said.

It’s unlikely public health authorities will figure out the origin of the virus that paralyzed the patient in New York, Oberste said. Dozens of countries around the world — primarily in Africa, the Middle East and South Asia — are still using oral vaccines that contain the Sabin Type 2 strain.

By Wiktor Mazin, Jan-Rainer Lahmann, Emil Reinert and Bengt Wegner

Creators are increasingly using Qiskit to make works of quantum art. And, combined with the Raspberry Pi, you have a unique platform to create portable installations beyond the realm of your laptop.

For this project, Wiktor Mazin, Jan-Rainer Lahmann, Emil Reinert and Bengt Wegner teamed up to demonstrate quantum fractals on the Raspberry Pi. We hope to show how to get creative with quantum computers thanks to the portability and ease-of-use of the RasQberry project, while providing a short guide on how you can create your own fractal animations using python code with Qiskit, both via a direct link and via an install on a Raspberry Pi.

On its journey to a world-record-breaking orbit, NASA’s Orion spacecraft, which had test dummies in place of people, buzzed the lunar surface and whipped around the far side.

It marks a significant accomplishment in the $4.1 billion test journey that started last Wednesday and is the first time a capsule has reached the moon in 50 years.

The crew capsule and its three wired-up dummies maneuvered within 81 miles of the Moon on the far side.

Evidence-Based And Actionable Health, Wellness And Longevity Solutions — Dr. Renee DeHaan, Ph.D. — VP, Science & AI, InsideTracker


Dr. Renée Deehan, Ph.D. is the VP of Science & Artificial Intelligence at InsideTracker (https://www.insidetracker.com/), and leads a science team that builds and mines the world’s largest data set of blood, DNA, fitness tracking and phenotypic data from healthy people, creating evidence-based solutions that are simple, clear, and actionable.

Dr. Deehan has spent her career working in the precision medicine and personalized nutrition domains, previously serving as the VP of Computational Biology & Translational Informatics at QuartzBio and as the VP of Biology and Bioinformatics at PatientsLikeMe, the world’s largest integrated community, health management, and real-world data platform.

Eight out of 10 Americans have back pain, which has become the leading cause of disability worldwide.

Jimmie Wiggins is one of Dr. Thomas Lee’s Intracept procedure success stories. Watching him walk down the hall, one would never know Wiggins suffered from debilitating back pain for 23 years.

“It’s been really bad, really bad. (It) stopped me from doing a lot of stuff,” he said. “It’s good to be pain-free … walking, running, jogging, exercising. I went back to what I used to do years ago.”

They then used QUARTZ to analyze retinal images from 7,411 more people, these aged 48 to 92, and combined this data with information about their health history (such as smoking, statin use, and previous heart attacks) to predict their risk of heart disease. Participants’ health was tracked for seven to nine years, and their outcomes were compared to Framingham risk score (FRS) predictions.

A common tool for estimating heart disease risk, the FRS looks at age, gender, total cholesterol, high density lipoprotein cholesterol, smoking habits, and systolic blood pressure to estimate the probability someone will develop heart disease within a given span of time, usually 10 to 30 years.

The QUARTZ team compared their data to 10-year FRS predictions and said the algorithm’s accuracy was on par with that of the conventional tool.