Lifeboat Foundation

CMOS-compatible quantum computers can now benefit from error correction.

“The Matrix” may have been right all along. The idea that we are all living in a virtual simulation of reality formed the basis of the 1999 cult film, and now some philosophers and an increasing number of scientists are coming round to the idea it might actually be true.

Simulation theory, as it is known, is a “theoretical hypothesis that says what people perceive as reality is actually an advanced, hyper-realistic computer simulation, possibly overseen by a higher being”, said BuiltIn.

As its name implies, the Bose glass exhibits certain glass-like properties, with all particles in the system becoming localized. This means that each particle remains confined to its position, without interacting or blending with its neighbors.

If coffee behaved in this way, for example, stirring milk into it would result in a permanent pattern of black and white stripes that never mix into a uniform color.

In a localized system like the Bose glass, particles don’t mix with their environment, which suggests that quantum information stored within such a system could be retained for much longer periods. This property has significant implications for quantum computing and information storage.

In an exciting development for quantum computing, researchers from the University of Chicago’s Department of Computer Science, Pritzker School of Molecular Engineering, and Argonne National Laboratory have introduced a classical algorithm that simulates Gaussian boson sampling (GBS) experiments.

Today’s computers reach their physical limits when it comes to speed. Semiconductor components usually operate at a maximum usable frequency of a few gigahertz—which corresponds to several billion computing operations per second.

Solving the problem of error is essential for the practical application of quantum computing technologies that surpass the performance of digital computers. Information input into a qubit, the smallest unit of quantum computation, is quickly lost and error-prone.

How can the metal content of stars influence the formation of Earth-like exoplanets? This is what a recent study published in The Astronomical Journal hopes to address as an international team of researchers investigated the minimum amount of metals a star can possess (also called metallicity) that are needed for Earth-like planets to form in small orbits like our own. This study holds the potential to help researchers better understand the necessary conditions for Earth-like exoplanets to form, along with gaining new insights into the formation and evolution of other exoplanets.

This research builds off previous studies that hypothesized a correlation between star’s low metallicity and the formation of exoplanets smaller than Saturn or Neptune. For this new study, the researchers used computer models built from exoplanet data obtained by NASA’s Transiting Exoplanet Survey Satellite (TESS) mission to ascertain a metallicity cutoff where the formation of Earth-like exoplanets become impossible. In the end, the researchers indicated that a threshold between-0.75 and-0.5 metallicity is where Earth-like exoplanets can form.

“In a similar stellar type as our sample, we now know not to expect planet formation to be abundant once you pass a negative 0.5 metallicity region,” said Dr. Kiersten Boley, who recently completed her PhD at The Ohio State University and is lead author of the study. “That’s kind of striking because we actually have data to show that now. You don’t want to search areas where life wouldn’t be conducive or in areas where you don’t even think you’re going to find a planet. There’s just a plethora of questions that you can ask if you know these things.”

According to Zander, the company’s recent work builds on a blockbuster advance that Microsoft and Quantinuum announced in the spring.

Zander writes: “In April, we announced that we’re entering the next phase for solving meaningful problems with reliable quantum computers by demonstrating the most reliable logical qubits with an error rate 800x better than physical qubits.” He adds, “In less than six months, our improved qubit-virtualization system tripled reliable logical qubit counts.”

The advance goes to the heart of a primary challenge in quantum computing today: the unreliability of physical qubits, which are prone to errors due to their highly sensitive nature. Microsoft addressed this issue by creating logical qubits, which are collections of physical qubits working together to correct errors and maintain coherence.

Today’s computers reach their physical limits when it comes to speed. Semiconductor components usually operate at a maximum usable frequency of a few gigahertz – which corresponds to several billion computing operations per second. As a result, modern systems rely on several chips to divide up the computing tasks because the speed of the individual chips cannot be increased any further. However, if light (photons) were used instead of electricity (electrons) in computer chips, they could be up to 1,000 times faster.

Plasmonic resonators, also known as “antennas for light”, are a promising way of achieving this leap in speed. These are nanometre-sized metal structures in which light and electrons interact. Depending on their geometry, they can interact with different light frequencies.

“The challenge is that plasmonic resonators cannot yet be effectively modulated, as is the case with transistors in conventional electronics. This hinders the development of fast light-based switches,” says Dr. Thorsten Feichtner, physicist at Julius-Maximilians-Universität (JMU) Würzburg in Bavaria, Germany.