Lifeboat Foundation

The nuclear reactions that power the stars and forge the elements emerge from the interactions of the quantum mechanical particles, protons and neutrons. Explaining these processes is one of the most challenging unsolved problems in computational physics. As the mass of the colliding nuclei grows, the resources required to model them outpace even the most powerful conventional computers. Quantum computers could perform the necessary computations. However, they currently fall short of the required number of reliable and long-lived quantum bits. This research combined conventional computers and quantum computers to significantly accelerate the prospects of solving this problem.

The Impact

The researchers successfully used the hybrid computing scheme to simulate the scattering of two neutrons. This opens a path to computing nuclear reaction rates that are difficult or impossible to measure in a laboratory. These include reaction rates that play a role in astrophysics and national security. The hybrid scheme will also aid in simulating the properties of other quantum mechanical systems. For example, it could help researchers study the scattering of electrons with quantized atomic vibrations known as phonons, a process that underlies superconductivity.

AlphaFold 3 by DeepMind accurately predicts protein structures and interactions, transforming drug discovery and structural biology.

Personal Perspective: Learning from a great philosopher of the mind.

Boronic acid has been used in organic chemistry for decades, even though it is not present in any organism. “It gives rise to different chemical reactions than those we find in nature,” explains Gerard Roelfes, Professor of Biomolecular Chemistry & Catalysis at the University of Groningen.

In the scientific literature, a citation acts as a mechanism to signal prior knowledge, enhance credibility, and protect against plagiarism. But it also gives credit to the individual or team who established or discovered the knowledge in question, and citations have thus emerged as a metric to measure the impact of a work or researcher.

“As long as the pharmaceutical companies quest for innovation is solely driven by intellectual property rights, they will keep failing in the war on cancer.”-Sylvie Beljanski.

Dr. Mirko Beljanski PhD, was a molecular biologist at the Pasteur Institute in Paris who investigated how environmental toxins damage DNA leading to cancer as well as natural compounds with protective anticancer properties. His research eventually led him to the discovery of two unique and powerful anticancer plant extracts: Pao pereira and Rauwolfia vomitoria.

Continue reading “Dr. Mirko Beljanski’s incredible story and research on natural anticancer compounds Pao Pereira and Rauwolfia” »

Japanese scientists are set to kick off the world’s first clinical trials of “tooth regrowth medicine” at the Kyoto University Hospital, The Mainichi reports.

Researchers from the Japanese startup Toregem Biopharma are planning to enroll patients who were born missing some or all of their teeth from birth, a condition called congenital anodontia, for the trials.

The patients will receive an antibody treatment that deactivates a protein called USAG-1, believed to stop “tooth buds,” which most people have, from developing into either baby or permanent teeth.

The founder of the dating app Bumble Whitney Wolfe Herd believes the future of dating will involve having your personal AI “dating concierge” talk to hundreds of other AIs to find a match.

That unabashed vision may sound familiar: it’s literally the plot of a 2017 episode of “Black Mirror,” as countless people on social have pointed out.

“You could, in the near future, be talking to your AI dating concierge,” Wolfe Herd, who stepped down as Bumble CEO in 2023 but remains involved in the company, told an audience at the Bloomberg Technology Summit on Thursday. “You could share your insecurities. There is a world where your dating concierge could go and date for you with other dating concierges.”

Nice.

A novel quantum algorithm, which exploits the relation between the Lindblad master equation, stochastic differential equations, and Hamiltonian simulations, is proposed to simulate open quantum systems on a quantum computer.