Quantum physics just took a leap from theory to reality! Empa researchers have, for the first time, successfully built a long-theorized one-dimensional alternating Heisenberg model using synthetic nanographenes.
By precisely shaping these tiny carbon structures, they’ve unlocked new ways to manipulate quantum states, confirming century-old predictions. This breakthrough could be a stepping stone toward real-world quantum technologies, from ultra-fast computing to unbreakable encryption.
The race toward scalable quantum computing has reached a pivotal moment, with major players like Microsoft, Google, and IBM pushing forward with breakthroughs. Microsoft’s recent announcement of its Majorana 1 chip marks a significant milestone, while Google’s Willow chip and IBM’s long-term quantum roadmap illustrate the industry’s diverse approaches to achieving fault-tolerant quantum systems. As the quantum computing industry debates the timeline for practical implementation, breakthroughs like Majorana 1 and Willow suggest that major advancements may be closer than previously thought. At the same time, skepticism remains, with industry leaders such as Nvidia CEO Jensen Huang cautioning that meaningful commercial quantum applications could still be decades away.
Microsoft is redefining quantum computing with its new Majorana 1 chip, a significant breakthrough in the pursuit of scalable and fault-tolerant quantum systems. This quantum processor is built on a novel topological architecture that integrates Majorana particles, exotic quantum states that enhance qubit stability and reduce errors. Unlike conventional qubit technologies, which require extensive error correction, Microsoft’s approach aims to build fault tolerance directly into the hardware, significantly improving the feasibility of large-scale quantum computing. Satya Nadella, Microsoft’s CEO, highlighted the significance of this milestone in his LinkedIn post, We’ve created an entirely new state of matter, powered by a new class of materials, topoconductors. This fundamental leap in computing enables the first quantum processing unit built on a topological core.
While many experts in the quantum industry are concerned about the hype surrounding the technology, some are suggesting quantum tech might not be hyped enough. According to one respected deep-tech investor, quantum computing is still underestimated and is only a few years away from commercial use.
Karthee Madasamy, founder of Silicon Valley venture fund MFV Partners, told Nikkei Asia he sees strong momentum in quantum computing, likening it to how ChatGPT surprised the world.
“People are going to underestimate [quantum computing] … It’s like ChatGPT,” he told Nikkei Asia. “Until ChatGPT, nobody was thinking about natural language … Now everybody’s like, ‘It’s going to kill this world.’”
James Fodor discusses what he is researching, mind uploading etc.
As of 2020, James Fodor, is a student at the Australian National University, in Canberra, Australia. James’ studies at university have been rather diverse, and have at different times included history, politics, economics, philosophy, mathematics, computer science, physics, chemistry, and biology. Eventually he hopes to complete a PhD in the field of computational neuroscience.
James also have a deep interest in philosophy, history, and religion, which he periodically writes about on his blog, which is called The Godless Theist. In addition, James also has interests in and varying levels of involved in skeptical/atheist activism, effective altruism, and transhumanism/emerging technologies. James is a fan of most things sci-fi, including Star Trek, Dr Who, and authors such as Arthur C. Clarke and Isaac Asimov.
00:00 Intro. 00:20 José Delgado’s beginnings with BCIs. 00:42 Use of BCI to reduce aggression. 00:57 How the brain and nerve cells work. 03:00 Stimulation of brain areas (motor cortex) 03:51 How Utah arrays works! 05:16 Measurement of voltage peaks (spikes) 06:06 How the Neuralink N1 works! 08:20 How the Stentrode by Synchron works! 09:40 The future of exoskeletons. 09:53 Are we becoming machines ourselves?
A team of quantum computer researchers at quantum computer maker D-Wave, working with an international team of physicists and engineers, is claiming that its latest quantum processor has been used to run a quantum simulation faster than could be done with a classical computer.
In their paper published in the journal Science, the group describes how they ran a quantum version of a mathematical approximation regarding how matter behaves when it changes states, such as from a gas to a liquid—in a way that they claim would be nearly impossible to conduct on a traditional computer.
Over the past several years, D-Wave has been working on developing quantum annealers, which are a subtype of quantum computer created to solve very specific types of problems. Notably, landmark claims made by researchers at the company have at times been met with skepticism by others in the field.
Light-emitting diodes (LEDs) are widely used electroluminescent devices that emit light in response to an applied electric voltage. These devices are central components of various electronic and optoelectronic technologies, including displays, sensors and communication systems.
Over the past decades, some engineers have been developing alternative LEDs known as quantum LEDs (QLEDs), which utilize quantum dots (i.e., nm-size semiconducting particles) as light-emitting components instead of conventional semiconductors. Compared to traditional LEDs, these quantum dot-based devices could achieve better energy-efficiencies and operational stabilities.
Despite their potential, most QLEDs developed so far have been found to have significantly slower response speeds than typical LEDs using inorganic III-V semiconductors. In other words, they are known to take a longer time to emit light in response to an applied electrical voltage.
Time crystals realized in the so-called quasiperiodic regime hold promise for future applications in quantum computing and sensing.
In ordinary crystals, atoms or molecules form a repeating pattern in space. By extension, in quantum systems known as time crystals, particles form a repeating pattern in both space and time. These exotic systems were predicted in 2012 and first demonstrated in 2016 (see Viewpoint: How to Create a Time Crystal). Now Chong Zu at Washington University in St. Louis and his colleagues have experimentally realized a new form of time crystal called a discrete-time quasicrystal [1]. The team suggests that such states could be useful for high-precision sensing and advanced signal processing.
Conventional time crystals are created by subjecting a collection of particles to an external driving force that is periodic in time. Zu and his colleagues instead selected a quasiperiodic drive in the form of a structured but nonrepeating sequence of microwave pulses. The researchers applied this quasiperiodic drive to an ensemble of strongly interacting spins associated with structural defects, known as nitrogen-vacancy centers, in diamond. They then tracked the resulting dynamics of these spins using a laser microscope.
