Lifeboat Foundation

LOS ANGELES – Artificial intelligence, quantum computing and nuclear power are among the key technologies Lockheed Martin sees as important for future space missions.

Through a project called Destination: Space 2050, Lockheed Martin executives are exploring, for example, how AI could assist scientific exploration of locations where communications with remote sensors would be disrupted by high latency.

In that type of environment, “you really can’t interact with the robotic sensors,” David Lackner, Lockheed Martin senior manager strategy and business development, said during a June 28 webinar. “You have to have something that is super autonomous that can deal with unknown unknowns. We’ve got some really interesting causal autonomy tools that … allow the AI to be super smart about running into something that it hasn’t encountered before.”

Researchers have achieved a major milestone in quantum computing by extending the lifetime of quantum information beyond the breakeven point using Quantum Error Correction, opening the path for effective quantum information processing amidst real-world noise. Understanding Decoherence and Quantum E.

There’s a new way to harness the power of the sun and it may just revolutionize how we approach solar energy. The development is called quantum dots and it consists of tiny semiconductor particles only a few nanometers in size.

This is according to a report by Fagen Wasanni published on Saturday.

“Quantum dots have unique properties that make them ideal for use in solar cells. Their small size allows them to absorb light from a wide range of wavelengths, including those that traditional solar cells cannot capture. This means that quantum dot-based solar cells can potentially convert more sunlight into electricity, significantly increasing their efficiency,” states the report.

However, an independent group of scientists, inventors, and engineers called Applied Physics recently proposed the first model for a physical warp drive, according to a recent study published in the peer-reviewed journal Classical and Quantum Gravity.

Superconducting quantum technology has long promised to bridge the divide between existing electronic devices and the delicate quantum landscape beyond. Unfortunately progress in making critical processes stable has stagnated over the past decade.

Now a significant step forward has finally been realized, with researchers from the University of Maryland making superconducting qubits that last 10 times longer than before.

What makes qubits so useful in computing is the fact their quantum properties entangle in ways that are mathematically handy for making short work of certain complex algorithms, taking moments to solve select problems that would take other technology decades or more.

A discovery with potentially mind-boggling implications about the behaviour of matter at the quantum and astronomical scales.

Physicist Lennard Kwakernaak finds the “complexity of simple things” intriguing, and it is a tough ask to make an inanimate object count.

A collaboration between researchers at Leiden University and AMOLF in Amsterdam has yielded a new metamaterial, a rubber block that can count. The researchers are calling it a Beam Counter and it is pretty nifty.

Continue reading “European researchers design a rubber block that can count to ten” »

When you turn on a lamp to brighten a room, you are experiencing light energy transmitted as photons, which are small, discrete quantum packets of energy.

These photons must obey the sometimes strange laws of quantum mechanics, which, for instance, dictate that photons are indivisible, but at the same time, allow a photon to be in two places at once.

Continue reading “A New Kind of Quantum Computer Could Be Built on The Strange Physics of Sound Waves” »

EPFL scientists show that even a few simple examples are enough for a quantum machine-learning model, the “quantum neural networks,” to learn and predict the behavior of quantum systems, bringing us closer to a new era of quantum computing.

Imagine a world where computers can unravel the mysteries of quantum mechanics, enabling us to study the behavior of complex materials or simulate the intricate dynamics of molecules with unprecedented accuracy.

Thanks to a pioneering study led by Professor Zoe Holmes and her team at EPFL, we are now closer to that becoming a reality. Working with researchers at Caltech, the Free University of Berlin, and the Los Alamos National Laboratory, they have found a new way to teach a quantum computer how to understand and predict the behavior of quantum systems. The research has been published in Nature Communications.