Lifeboat Foundation

At the turn of the 20th century, scientists discovered that atoms were composed of smaller particles. They found that inside each atom, negatively charged electrons orbit a nucleus made of positively charged protons and neutral particles called neutrons. This discovery led to research into atomic nuclei and subatomic particles.

An understanding of these particles’ structures provides crucial insights about the forces that hold matter together and enables researchers to apply this knowledge to other scientific problems. Although electrons have been relatively straightforward to study, protons and neutrons have proved more challenging. Protons are used in medical treatments, scattering experiments, and fusion energy, but nuclear scientists have struggled to precisely measure their underlying structure—until now.

In a recent paper, a team led by Constantia Alexandrou at the University of Cyprus modeled the location of one of the subatomic particles inside a proton, using only the basic theory of the strong interactions that hold matter together rather than assuming these particles would act as they had in experiments. The researchers employed the 27-petaflop Cray XK7 Titan supercomputer at the Oak Ridge Leadership Computing Facility (OLCF) and a method called lattice quantum chromodynamics (QCD). The combination allowed them to map subatomic particles on a grid and calculate interactions with high accuracy and precision.

Computers were once considered high-end technology, only accessible to scientists and trained professionals. But there was a seismic shift in the history of computing during the second half of the 1970s. It wasn’t just that machines became much smaller and more powerful—though, of course, they did. It was the shift in who would use computers and where: they became available to everyone to use in their own home.

Today, quantum computing is in its infancy. Quantum computation incorporates some of the most mind-bending concepts from 20th-century physics. In the US, Google, IBM, and NASA are experimenting and building the first quantum computers. China is also investing heavily in quantum technology.

As the author of Quantum Computing for Everyone, published in March, I believe that there will be an analogous shift toward quantum computing, where enthusiasts will be able to play with quantum computers from their homes. This shift will occur much sooner than most people realize.

Continue reading “Quantum Computers Could Go Mainstream Sooner than We Think” »

What other ramifications to follow? Your subjective quantum immortality coupled with soon-to-be discovered indefinite life extension at the civilizational level would spell out that YOU ARE ACTUALLY TO LIVE FOREVER! One can also see a viable resolution to the so-called ‘Mind-uploading’, or Star Trek ‘Teleporter dilemma’, questioning whether in those instances you create a copy of yourself but kill yourself in the process. By analogy to the previous deliberations, it follows that your consciousness has to “migrate” to your living self, thus making the case for successful consciousness transfer in both methods of disembodiments.

On this note, my friend, I’d like to conclude and profess that you are to live forever as an individuated evolving consciousness in this illusory Matrix-like universe where nothing is what it seems.

-by Alex Vikoulov, futurist, digital philosopher.

Continue reading “Quantum Immortality: Does Quantum Physics Imply You Are Immortal?” »

Detailed data on space-time ripples are set to pour in from LIGO and Virgo’s upgraded detectors.

IBM researchers found a method to reduce noise in quantum computing by amplifying noise at measurable intervals, and extrapolating a difference to calculate a “zero-noise” result.

The most popular contender over the past few decades has been string theory, and the related concepts of superstring theory and M-theory, in which particles are considered as tiny units of one-dimensional string. However, a lesser-known theory has also gained traction; loop quantum gravity (LQG), which attempts to solve the quantum gravity problem by focusing on the very fabric of spacetime, rather than the particles themselves.

In “Quantum Space,” the popular-science writer Jim Baggott lays out the basic principles of LQG for science enthusiasts. The book looks at how loop quantum gravity has emerged by following the work of two of its leading proponents, Carlo Rovelli and Lee Smolin, and assesses where the theory is now, and where it might be going.

Although the concepts are — not surprisingly — mind-boggling, Baggott asks deep questions about the nature of the universe, what space is actually composed of, and the existence of time itself. (The book covers a lot of challenging material, however, and some prior reading may help readers find their way.)

The Quantum Flagship was first announced in 2016, and on 29 October, the commission announced the first batch of fund recipients. The 20 international consortia, each of which includes public research institutions as well as industry, will receive a total of €132 million over 3 years for technology-demonstration projects.

One of the most ambitious EU ‘Flagship’ schemes yet has picked 20 projects, aiming to turn weird physics into useful products.

When a particle is completely isolated from its environment, the laws of quantum physics start to play a crucial role. One important requirement to see quantum effects is to remove all thermal energy from the particle motion, i.e. to cool it as close as possible to absolute zero temperature. Researchers at the University of Vienna, the Austrian Academy of Sciences and the Massachusetts Institute of Technology (MIT) are now one step closer to reaching this goal by demonstrating a new method for cooling levitated nanoparticles. They now publish their results in the renowned journal Physical Review Letters.

Tightly focused laser beams can act as optical “tweezers” to trap and manipulate tiny objects, from glass particles to living cells. The development of this method has earned Arthur Ashkin the last year’s Nobel prize in physics. While most experiments thus far have been carried out in air or liquid, there is an increasing interest for using optical tweezers to trap objects in ultra-high vacuum: such isolated particles not only exhibit unprecedented sensing performance, but can also be used to study fundamental processes of nanoscopic heat engines, or quantum phenomena involving large masses.

A key element in these research efforts is to obtain full control over the particle motion, ideally in a regime where the laws of quantum physics dominate its behavior. Previous attempts to achieve this, have either modulated the optical tweezer itself, or immersed the particle into additional light fields between highly reflecting mirror configurations, i.e. optical cavities.

Continue reading “Quantum optical cooling of nanoparticles” »

Artificial neural networks are the heart of machine learning algorithms and artificial intelligence. Historically, the simplest implementation of an artificial neuron traces back to the classical Rosenblatt’s “perceptron”, but its long term practical applications may be hindered by the fast scaling up of computational complexity, especially relevant for the training of multilayered perceptron networks. Here we introduce a quantum information-based algorithm implementing the quantum computer version of a binary-valued perceptron, which shows exponential advantage in storage resources over alternative realizations. We experimentally test a few qubits version of this model on an actual small-scale quantum processor, which gives answers consistent with the expected results. We show that this quantum model of a perceptron can be trained in a hybrid quantum-classical scheme employing a modified version of the perceptron update rule and used as an elementary nonlinear classifier of simple patterns, as a first step towards practical quantum neural networks efficiently implemented on near-term quantum processing hardware.