Lifeboat Foundation

GHZ states are crucial for pushing the boundaries of quantum physics and enhancing quantum computing and communication technologies. However, they become increasingly unstable as more qubits are entangled, with past experiments demonstrating the challenges of preserving their unique properties amidst minor disturbances. By employing a discrete time crystal, the team was able to construct a “safe house” to protect the GHZ state, achieving a less fragile configuration of 36 qubits, compared to the previously unstable larger state that included up to 60 qubits.

The application of microwave pulses to the qubits not only induced their quantum properties to oscillate and form a time crystal but also minimized disturbances that would typically disrupt the GHZ state. This could mark the first practical use of a discrete time crystal, according to Biao Huang, Kavli Institute for Theoretical Sciences, University of Chinese Academy of Sciences.

Scientists have previously established that light can be slowed down in certain scenarios, and a new study demonstrates a method for achieving it that promises to be one of the most useful approaches yet.

The researchers behind the breakthrough, from Guangxi University and the Chinese Academy of Sciences in China, say that their method could benefit computing and optical communication.

Light zipping through the emptiness of space moves at one speed and one speed only — 299,792 kilometers (about 186,000 miles) per second. Yet if you throw a mess of electromagnetic fields into its path, such as those surrounding ordinary matter, that extraordinary velocity starts to slow.

It’s “Little Shop of Horrors” meets “Terminator.”

A team of scientists successfully took control over a Venus Flytrap, a type of cultivated carnivorous plant, by implanting a tiny microchip in it.

This “artificial neutron” was able to force the plants to open and close — conventionally a way for them to devour its prey — mimicking the brain’s methods of processing and transferring information.

This mixed-reality headset redefines the genre.

Classical computers can sometimes outperform quantum computers thanks to new algorithms, challenging the idea that quantum always prevails.

NYU researchers have developed a new method that allows classical computers to perform certain tasks faster and more efficiently than quantum computers.

Seventy years after the invention of a data structure called a hash table, theoreticians have found the most efficient possible configuration for it.

Matching quantum computing with Tensor networks, and varying then to get the data you need. It’s a good read, about 4 minutes and goes into more detail. Apparently there’s no errors like there is in quantum computing with some adjustments.

Quantum computing has long been celebrated for its potential to surpass traditional computing in terms of speed and memory efficiency. This innovative technology promises to revolutionize our ability to predict physical phenomena that were once deemed impossible to forecast.

The essence of quantum computing lies in its use of quantum bits, or qubits, which, unlike the binary digits of classical computers, can represent values anywhere between 0 and 1.

Continue reading “Quantum computing is outperformed by new type of traditional computing” »

Quantum computing has been hailed as a technology that can outperform classical computing in both speed and memory usage, potentially opening the way to making predictions of physical phenomena not previously possible.

Many see quantum computing’s advent as marking a paradigm shift from classical, or conventional, computing. Conventional computers process information in the form of digital bits (0s and 1s), while quantum computers deploy quantum bits (qubits) to store quantum information in values between 0 and 1.

Under certain conditions, this ability to process and store information in qubits can be used to design quantum algorithms that drastically outperform their classical counterparts. Notably, quantum’s ability to store information in values between 0 and 1 makes it difficult for classical computers to perfectly emulate quantum ones.

The first Apple Vision Pro reviews arrived last week on January 30 ahead of the February 2 product launch. A week and change later, tech journalists have had even more time to spend with Apple Vision Pro. My new favorite review is from Raymond Wong at Inverse. He spares no words when evaluating Apple Vision Pro, including as a spatial computer.