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Researchers from Max Planck Florida Institute for Neuroscience have discovered a new pathway to forming long-term memories in the brain. Their work, published in Nature Neuroscience, suggests that long-term memory can form independently of short-term memory, a finding that opens exciting possibilities for understanding memory-related conditions.

Our brain works diligently to record our experiences into memories, creating representations of our daily events that stay with us for short time periods. Current scientific theories of memory formation suggest that short-term memories are stored in what we can imagine as a temporary art exhibition in our brain before being cleared out for representations of new experiences.

A tiny fraction of these short-term memories—those most relevant to us—are moved to a more permanent exhibit, our long-term memory, where they are stored for days, years, or decades.

While classical physics presents a deterministic universe where cause must precede effect, quantum mechanics and relativity theory paint a more nuanced picture. There are already well-known examples from relativity theory like wormholes, which are valid solutions of Einstein’s Field Equations, and similarly in quantum mechanics the non-classical state of quantum entanglement—the “spooky action at a distance” that troubled Einstein—which demonstrates that quantum systems can maintain instantaneous correlations across space and, potentially, time.

Perhaps most intriguingly, the protocol suggests that quantum entanglement can be used to effectively send information about optimal measurement settings “back in time”—information that would normally only be available after an experiment is complete. This capability, while probabilistic in nature, could revolutionize quantum computing and measurement techniques. Recent advances in multipartite hybrid entanglement even suggest these effects might be achievable in real-world conditions, despite environmental noise and interference. The realization of such a retrocausal quantum computational network would, effectively, be the construction of a time machine, defined in general as a system in which some phenomenon characteristic only of chronology violation can reliably be observed.

This article explores the theoretical foundations, experimental proposals, significant improvements, and potential applications of the retrocausal teleportation protocol. From its origins in quantum mechanics and relativity theory to its implications for our understanding of causality and the nature of time itself, we examine how this cutting-edge research challenges our classical intuitions while opening new possibilities for quantum technology. As we delve into these concepts, we’ll see how the seemingly fantastic notion of time travel finds a subtle but profound expression in the quantum realm, potentially revolutionizing our approach to quantum computation and measurement while deepening our understanding of the universe’s temporal fabric.

In the early moments following the Big Bang, matter and antimatter should have been created in equal amounts. However, 13.8 billion years later, the Universe is overwhelmingly made of matter, with antimatter nearly absent. This strange imbalance has baffled scientists for decades, hinting that something must have occurred to tilt the balance in favor of matter.

One of the leading theories to explain this disparity is charge–parity (CP) violation, a phenomenon predicted by the Standard Model of particle physics. CP violation refers to a small but measurable difference in how matter and antimatter behave.

However, the Standard Model predicts that the number of CP violations is far too small to account for the vast predominance of matter. So far, CP violation has only been observed in certain particle decays, notably in mesons — particles made of quarks and an antiquark. To truly understand the origins of the matter-antimatter imbalance, scientists need to see CP violation in a broader range of particles, particularly baryons, composed of three quarks.

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Google’s Willow chip achieves scalable quantum error correction, reducing errors, and maintaining stability across a million cycles.

Scientists have discovered a key protein that helps cancer cells avoid detection by the immune system during a type of advanced therapy.

By creating a new drug that blocks this protein, researchers hope to make cancer treatments more effective, especially for hard-to-treat blood cancers. This breakthrough could lead to better survival rates and fewer relapses for patients.

Scientists at City of Hope, one of the leading cancer research and treatment centers in the U.S., have uncovered a key factor that allows cancer cells to evade CAR T cell therapy.

OpenAI is giving users a new way to talk to its viral chatbot: 1–800-CHATGPT.

By dialing the U.S. number (1−800−242−8478) or messaging it via WhatsApp, users can access an “easy, convenient, and low-cost way to try it out through familiar channels,” OpenAI said Wednesday. At first, the company said callers will get 15 minutes free per month.

The news follows a barrage of updates from OpenAI as part of a 12-day release event. The most notable announcement was the official rollout of Sora, OpenAI’s buzzy AI video-generation tool.

Researchers at the University of Hawai’i at Mānoa have discovered that a virus, FloV-SA2, encodes one of the proteins needed to make ribosomes, the central engines in all cells that translate genetic information into proteins, the building blocks of life. This is the first eukaryotic virus (a virus that infects eukaryotes, such as plants, animals, fungi) found to encode such a protein.

The research is published in the journal npj Viruses.

Viruses are packets of genetic material surrounded by a protein coating. They replicate by getting inside of a cell where they take over the cell’s replication machinery and direct it to make more viruses. Simple viruses depend almost exclusively on material and machinery provided by the , but larger, more complex viruses code for numerous proteins to aid in their own replication.