Lifeboat Foundation

The Hubble Space Telescope is currently offline.

On Sunday 13 June, the telescope’s payload computer went offline, and engineers here on Earth are currently performing operations to get it up and running again.

The payload computer, as you might expect, is vital to Hubble’s continued science operations. It’s the ‘brains’ of the instrument, coordinating and controlling the various instruments with which Hubble is equipped. It also monitors the telescope for issues.

As the number of qubits in early quantum computers increases, their creators are opening up access via the cloud. IBM has its IBM Q network, for instance, while Microsoft has integrated quantum devices into its Azure cloud-computing platform. By combining these platforms with quantum-inspired optimisation algorithms and variable quantum algorithms, researchers could start to see some early benefits of quantum computing in the fields of chemistry and biology within the next few years. In time, Google’s Sergio Boixo hopes that quantum computers will be able to tackle some of the existential crises facing our planet. “Climate change is an energy problem – energy is a physical, chemical process,” he says.

“Maybe if we build the tools that allow the simulations to be done, we can construct a new industrial revolution that will hopefully be a more efficient use of energy.” But eventually, the area where quantum computers might have the biggest impact is in quantum physics itself.

The Large Hadron Collider, the world’s largest particle accelerator, collects about 300 gigabytes of data a second as it smashes protons together to try and unlock the fundamental secrets of the universe. To analyse it requires huge amounts of computing power – right now it’s split across 170 data centres in 42 countries. Some scientists at CERN – the European Organisation for Nuclear Research – hope quantum computers could help speed up the analysis of data by enabling them to run more accurate simulations before conducting real-world tests. They’re starting to develop algorithms and models that will help them harness the power of quantum computers when the devices get good enough to help.

Taiwan Semiconductor Manufacturing Co. ’s chips are everywhere, though most consumers don’t know it.

The company makes almost all of the world’s most sophisticated chips, and many of the simpler ones, too. They’re in billions of products with built-in electronics, including iPhones, personal computers and cars—all without any obvious sign they came from TSMC, which does the manufacturing for better-known companies that design them, like Apple Inc. and Qualcomm Inc.

TSMC has emerged over the past several years as the world’s most important semiconductor company, with enormous influence over the global economy. With a market cap of around $550 billion, it ranks as the world’s 11th most valuable company.

Quantum computers developed to date have been one-of-a-kind devices that fill entire laboratories. Now, physicists at the University of Innsbruck have built a prototype of an ion trap quantum computer that can be used in industry. It fits into two 19-inch server racks like those found in data centers throughout the world. The compact, self-sustained device demonstrates how this technology will soon be more accessible.

Over the past three decades, fundamental groundwork for building quantum computers has been pioneered at the University of Innsbruck, Austria. As part of the EU Flagship Quantum Technologies, researchers at the Department of Experimental Physics in Innsbruck have now built a demonstrator for a compact ion trap quantum computer. “Our quantum computing experiments usually fill 30-to 50-square-meter laboratories,” says Thomas Monz of the University of Innsbruck. “We were now looking to fit the technologies developed here in Innsbruck into the smallest possible space while meeting standards commonly used in industry.” The new device aims to show that quantum computers will soon be ready for use in data centers. “We were able to show that compactness does not have to come at the expense of functionality,” adds Christian Marciniak from the Innsbruck team.

The individual building blocks of the world’s first compact quantum computer had to be significantly reduced in size. For example, the centerpiece of the quantum computer, the ion trap installed in a vacuum chamber, takes up only a fraction of the space previously required. It was provided to the researchers by Alpine Quantum Technologies (AQT), a spin-off of the University of Innsbruck and the Austrian Academy of Sciences which aims to build a commercial quantum computer. Other components were contributed by the Fraunhofer Institute for Applied Optics and Precision Engineering in Jena and laser specialist TOPTICA Photonics in Munich, Germany.

Microsoft will soon announce the next version of Windows on June 24. But before that happens, the company has already declared that it’s ending support for Windows 10 on October 14, 2025.

As noted by Thurrott, this is the first time the firm has specified an end date for the entire operating system. Windows 10 was originally unveiled in 2015, so it will have had a good run of 10 years — suits its name too.

What does it mean for you when Microsoft will end support for Windows 10? Well, for starters, you’ll stop receiving software updates, and there will be no new features added to the operating system.

Circa 2017

The future Internet is very likely the mixture of all-optical Internet with low power consumption and quantum Internet with absolute security. The optical regular Internet would be used by default, but switched over to quantum Internet when sensitive data need to be transmitted. PT and and its counterpart in the quantum limit SPT would be the core components for both OIP and QIP in future Internet. Compared with electronic transistors, PTs/SPTs potentially have higher speed, lower power consumption and compatibility with fibre-optic communication systems.

Several schemes for PT^6,7,8,9,10 and SPT^{11,12,13,14,15,16,17} have been proposed or even proof-of-principle demonstrated. All these prototypes exploit optical nonlinearities, i.e., photon-photon interactions¹⁸. However, photons do not interact with each other intrinsically, so indirect photon-photon interactions via electromagnetically induced transparency (EIT)¹⁹, photon blockade²⁰ and Rydberg blockade²¹ were intensively investigated in this context over last two decades in either natural atoms^22,23 or artificial atoms including superconducting boxes^24,25 and semiconductor quantum dots (QDs)^12,13. PT can seldom work in the quantum limit as SPT with the gain greater than 1 because of two big challenges, i.e., the difficulty to achieve the optical nonlinearities at single-photon levels and the distortion of single-photon pulse shape and inevitable noise produced by these nonlinearities²⁶. The QD-cavity QED system is a promising solid-state platform for information and communication technology (ICT) due to their inherent scalability and matured semiconductor technology. But the photon blockade resulting from the anharmonicity of Jaynes-Cummings energy ladder²⁷ is hard to achieve due to the small ratio of the QD-cavity coupling strength to the system dissipation rates^{12,13,28,29,30,31,32} and the strong QD saturation³³. Moreover, the gain of this type of SPT based on the photon blockade is quite limited and only 2.2 is expected for In(Ga)As QDs^12,13.

Continue reading “Photonic transistor and router using a single quantum-dot-confined spin in a single-sided optical microcavity” »

A new on-chip device that is very good at mediating interactions between light and atoms in a vapour has been developed by researchers in Germany and the UK. Flavie Davidson-Marquis at Humboldt University of Berlin and colleagues call their device a “quantum-optically integrated light cage” and say that it could be used for wide range of applications in quantum information technology.

Hybrid quantum photonics is a rapidly growing area of research that integrates different optical systems within miniaturized devices. One area of interest is the creation of devices for the control, storage and retrieval of the quantum states of light using individual atoms. This is usually done by integrating on-chip photonic devices with miniaturized cells containing warm vapours of alkali atoms. However, this approach faces challenges due to inefficient vapour filling times, high losses of quantum information near cell surfaces and limited overlaps between the wavelengths of light used in optical circuits and the wavelengths of atomic transitions.

Once researchers have done the hard work of translating a set of mathematical concepts into a proof assistant, the program generates a library of computer code that can be built on by other researchers and used to define higher-level mathematical objects. In this way, proof assistants can help to verify mathematical proofs that would otherwise be time-consuming and difficult, perhaps even practically impossible, for a human to check.

Proof assistants have long had their fans, but this is the first time that they have played a major role at the cutting edge of a field, says Kevin Buzzard, a mathematician at Imperial College London who was part of a collaboration that checked Scholze and Clausen’s result. “The big remaining question was: can they handle complex mathematics?” Says Buzzard. “We showed that they can.”

And it all happened much faster than anyone had imagined. Scholze laid out his challenge to proof-assistant experts in December 2020, and it was taken up by a group of volunteers led by Johan Commelin, a mathematician at the University of Freiburg in Germany. On 5 June — less than six months later — Scholze posted on Buzzard’s blog that the main part of the experiment had succeeded. “I find it absolutely insane that interactive proof assistants are now at the level that, within a very reasonable time span, they can formally verify difficult original research,” Scholze wrote.

Applied Materials said it has reached a breakthrough in chip wiring that will enable semiconductor chip production to miniaturize to chips so the width between circuits can be as little as three billionths of a meter. Current chip factories are making 7nm and 5nm chips, so the 3nm chips represent the next generation of technology.

These 3nm production lines will be part of factories that cost more than $22 billion to build — and generate a lot more revenue than that. The breakthrough in chip wiring will enable logic chips to scale to three nanometers and beyond, the company said.

Chip manufacturing companies can use the wiring tools in their huge factories, and the transition from 5nm factories to 3nm factories could help ease a shortage of semiconductor chips that has plagued the entire electronics industry. But it will be a while before the chips go into production. In addition to interconnect scaling challenges, there are other issues related to the transistor (extending the use of FinFET transistors and transitioning to Gate All Around transistors), as well as patterning (extreme ultraviolet and multi-patterning).