All computations require time and memory, but researchers are finding new ways to require less of the latter.
Category: computing – Page 8
In human engineering, we design systems to be predictable and controlled. By contrast, nature thrives on systems where simple rules generate rich, emergent complexity. The computational nature of the universe explains how simplicity can generate the complexity we see in natural phenomena. Imagine being able to understand everything about the universe and solve all its mysteries by a computational approach that uses very simple rules. Instead of being limited to mathematical equations, using very basic computational rules, we might be able to figure out and describe everything in the universe, like what happened at the very beginning? What is energy? What’s the nature of dark matter? Is traveling faster than light possible? What is consciousness? Is there free will? How can we unify different theories of physics into one ultimate theory of everything?
This paradigm goes against the traditional notion that complexity in nature must arise from complicated origins. It claims that simplicity in fundamental rules can produce astonishing complexity in behavior. Entering the Wolfram’s physics project: The computational universe!
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Chapters:
00:00 Intro.
01:48 Fundamentally computational.
08:51 Computational irreducibility.
13:14 Causal invariance.
16:16 Universal computation.
18:44 Spatial dimensions.
21:36 Space curvature.
23:52 Time and causality.
27:12 Energy.
29:38 Quantum mechanics.
31:31 Faster than light travel.
34:56 Dark matter.
36:30 Critiques.
39:15 Meta-framework.
41:19 The ultimate rule.
44:21 Consciousness.
46:00 Free will.
48:02 Meaning and purpose.
49:09 Unification.
55:14 Further analysis.
01:02:30 Credits.
#science #universe #documentary
After several dashed predictions, quantum computing is accelerating rapidly with actual use cases and scientific breakthroughs expected within years, not decades.
Researchers discovered how Floquet Majorana fermions can improve quantum computing by controlling superconducting currents, potentially reducing errors and increasing stability. A new study has revealed significant insights into the behavior of electric current flow in superconductors, which could contribute to advancements in controlled quantum information processing.
A smartphone’s glow is often the first and last thing we see as we wake up in the morning and go to sleep at the end of the day. It is increasingly becoming an extension of our body that we struggle to part with. In a recent study in Computers in Human Behavior, scientists observed that staying away from smartphones can even change one’s brain chemistry.
The researchers recruited young adults for a 72-hour smartphone restriction diet where they were asked to limit smartphone use to essential tasks such as work, daily activities, and communication with their family or significant others.
During these three days, the researchers conducted psychological tests and did brain scans using functional magnetic resonance imaging (fMRI) to examine the effects of restricting phone usage. Brain scans showed significant activity shifts in reward and craving regions of the brain, resembling patterns seen in substance or alcohol addiction.
Deep within certain magnetic molecules, atoms arrange their spins in a spiral pattern, forming structures called chiral helimagnets. These helical spin patterns have intrigued researchers for years due to their potential for powering next-generation electronics. But decoding their properties has remained a mystery—until now.
Researchers at the University of California San Diego have developed a new computational approach to accurately model and predict these complex spin structures using quantum mechanics calculations. Their work was published on Feb. 19 in Advanced Functional Materials.
“The helical spin structures in two-dimensional layered materials have been experimentally observed for over 40 years. It has been a longstanding challenge to predict them with precision,” said Kesong Yang, professor in the Aiiso Yufeng Li Family Department of Chemical and Nano Engineering at the UC San Diego Jacobs School of Engineering and senior author of the study. “The helical period in the layered compound extends up to 48 nanometers, making it extremely difficult to accurately calculate all the electron and spin interactions at this scale.”
American quantum computing startup PsiQuantum announced last week that it has cracked a significant puzzle on the road to making the technology useful: manufacturing quantum chips in large quantities.
PsiQuantum burst out of stealth mode in 2021 with a blockbuster funding announcement. It followed up with two more last year.
The company uses so-called “photonic” quantum computing, which has long been dismissed as impractical.
“Our woolly mouse project drove innovations in areas combining the end to end process from our computational biology analysis tools to our multiplex precision genome engineering technologies,” Lamm told us. “These technologies enable precise and efficient genetic modifications at multiple sites within the genome at the same time, which could help with research focused on addressing the complex multi-genetic age-related diseases in the future.”
By further refining the genetic engineering techniques developed by Colossal, researchers may eventually develop therapies tailored to an individual’s genetic makeup, mitigating the effects of aging at a cellular level.
“Many diseases are multigenic in nature and require deep analysis computationally and being able to edit the genome at multiple sites with high degrees of efficiency to not cause off-target effects,” Lamm told us. “Our end to end process and the further development of our multiplex editing and DNA synthesis capabilities will lead to others being able to use our tools and system to treat these more complicated diseases. Together, these innovations are part of the science focused on developing personalized, targeted therapies to mitigate the effects of aging, accelerate the development of regenerative medicine, and extend both lifespan and healthspan.”
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Two weeks ago, Microsoft made a big splash in the media by claiming that they’d found a way to build a scalable quantum computing platform which could reach one million qubits in a short period of time. They claimed this was possible with the help of a type of topological qubit called Majorana states. But it appears there are several… issues with the company’s published research. I have a quick summary.
The video with the comments from Sergey and Vincent is a one hour long discussion which you can watch in full here: • Majorana Fireside Chat: HOW CLOSE ARE…
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#science #sciencenews #tech #quantum
Brain-computer interfaces have enabled people with paralysis to move a computer cursor with their mind and reanimate their muscles with their thoughts. But the performance of the technology — how easily and accurately a BCI user’s thoughts move a cursor, for example—is limited by the number of channels communicating with the brain.
Science Corporation, one of the companies working towards commercial brain-computer interfaces(BCIs), is forgoing the traditional method of sticking small metal electrodes into the brain in favor of a biology-based approach to increase the number of communication channels safely. “What can I stick a million of, or what could I stick 10 million of, into the brain that won’t hurt it?” says Alan Mardinly, Science Corp co-founder.
The answer: Neurons.