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Quantum computing is becoming more accessible for performing calculations. However, research indicates that there are inherent limitations, particularly related to the quality of the clock utilized.

There are different ideas about how quantum computers could be built. But they all have one thing in common: you use a quantum physical system – for example, individual atoms – and change their state by exposing them to very specific forces for a specific time. However, this means that in order to be able to rely on the quantum computing operation delivering the correct result, you need a clock that is as precise as possible.

But here you run into problems: perfect time measurement is impossible. Every clock has two fundamental properties: a certain precision and a certain time resolution. The time resolution indicates how small the time intervals are that can be measured – i.e. how quickly the clock ticks. Precision tells you how much inaccuracy you have to expect with every single tick.

Over the past twenty years, many companies, including Google, Microsoft, and IBM, have invested in quantum computing development. Investors have contributed over $5 billion to this cause. The aim is to use quantum physics properties to process information in ways that traditional computers cannot. Quantum computing could impact various fields, including drug discovery, cryptography, finance, and supply-chain logistics. However, the excitement around this technology has led to a mix of claims, making it hard to gauge the actual progress.

The main challenge in developing quantum computers is managing the ‘noise’ that can interfere with these sensitive systems. Quantum systems can be disrupted by disturbances like stray photons from heat, random signals from nearby electronics, or physical vibrations. This noise can cause errors or stop a quantum computation. Regardless of the processor size or the technology’s potential uses, a quantum computer will not surpass a classical computer unless the noise is controlled.

For a while, researchers thought they might have to tolerate some noise in their quantum systems, at least temporarily. They looked for applications that could still work effectively with this constraint. However, recent theoretical and experimental advances suggest that the noise issue might soon be resolved. A mix of hardware and software strategies is showing potential for reducing and correcting quantum errors. Earl Campbell, vice president of quantum science at Riverlane, a UK-based quantum computing company, believes there is growing evidence to be hopeful about quantum computing’s future.

Almost exactly one year ago at CES 2023, Qualcomm announced its Snapdragon Ride Flex system-on-chip (SoC) product family. As an expansion of the company’s Snapdragon Digital Chassis product portfolio, the new SoC family is meant to support advanced driver assistance systems (ADAS) as well as digital cockpit and infotainment applications spanning from entry level to premium vehicles. At the time, Qualcomm announced that the Ride Flex SoC was sampling with an expected start of production in early 2024. It’s now early 2024 and CES is about to kick off again. Tirias Research is expecting to hear an update on the product family next week. We anticipate the update will include, at the very least, some of the partners who will be bringing the Ride Flex SoCs to market in production volumes this year and into 2025. Given Qualcomm’s track record for hitting their estimated timelines, we felt that a re-cap of the product family is warranted leading up to next week’s anticipated update.

“Flex-ing” Resources to Support Mixed Criticality and Multiple Tiers

The Snapdragon Ride Flex is actually two monolithically integrated 4nm SoCs – a primary SoC and what Qualcomm are calling a Safety Island SoC. The primary SoC consists of a Kryo Gen 6 Arm v8.2 central processing unit (CPU) with integrated L3 cache, an Adreno 663 graphics processing unit (GPU), a Hexagon neural processing unit (NPU), a Spectra 690 image signal processing (ISP), two Adreno display processing units (DPUs) for multiple high-resolution display support and associated memory and I/O interconnects. This part of the SoC is Automotive Safety Integrity Level (ASIL) B certified. The Safety Island SoC, which is ASIL-D certified, consists of a multi-core real-time CPU with enhanced error managements support and isolated memory and peripherals. ASIL is a risk classification methodology established under ISO 26,262 from the International Organization for Standardization which defines functional safety for road vehicles.

The third-generation superconducting quantum computer, “Origin Wukong,” was launched on January 6 at Origin Quantum Computing Technology in Hefei, according to Chinese-based media outlet, The Global Times, as reported by the Pakistan Today.

According to the news outlets, the “Origin Wukong” is powered by a 72-qubit superconducting quantum chip, known as the “Wukong chip.” This development marks a new milestone in China’s quantum computing journey as it’s the most advanced programmable and deliverable superconducting quantum computer in China, as per a joint statement from the Anhui Quantum Computing Engineering Research Center and the Anhui Provincial Key Laboratory of Quantum Computing Chips, shared with the Global Times.

Superconducting quantum computers, such as the “Origin Wukong,” rely on a approach being investigated by several other quantum computer makers, including IBM and Google quantum devices.

Two-dimensional (2D) semiconducting materials have proved to be very promising for the development of various electronic devices, including wearables and smaller electronics. These materials can have significant advantages over their bulky counterparts, for instance retaining their carrier mobility irrespective of their reduced thickness.

Despite their promise for creating thin electronics, 2D semiconductors have so far only rarely been used to create monolayer transistors, thinner versions of the crucial electronic components used to modulate and amplify electrical current inside most existing devices. Most proposed monolayer transistors based on 2D semiconductors were created using a few carefully selected materials known to have relatively stable lattice structures, such as graphene, tungsten diselenide or molybdenum disulfide (MoS₂).

Researchers at Hunan University, the Chinese Academy of Sciences and Wuhan University recently set out to develop new monolayer transistors using alternative 2D semiconducting materials that have so far been primarily used to create multi-layer transistors, including black phosphorus (BP) and germanium arsenide (GeAs). Their work is published in the journal Nature Electronics.

Physicists at the National University of Singapore have innovated a concept to induce and directly quantify spin splitting in two-dimensional materials. By using this concept, they have experimentally achieved large tunability and a high degree of spin-polarisation in graphene. This research achievement can potentially advance the field of two-dimensional (2D) spintronics, with applications for low-power electronics.

Joule heating poses a significant challenge in modern electronics, especially in devices such as personal computers and smartphones. This is an effect that occurs when the flow of electrical current passing through a material produces thermal energy, subsequently raising the material’s temperature.

One potential solution involves the use of spin, instead of charge, in logic circuits. These circuits can, in principle, offer low-power consumption and ultrafast speed, owing to the reduction or elimination of Joule heating. This has given rise to the emerging field of spintronics.

Unraveling the Enigma of Sleep: A Critical Exploration of Cortical network Dynamics.

Sleep has long been recognized as a fundamental physiological process, crucial for the well-being of both humans and animals.

Xu et al. show that waking progressively disrupts neural dynamics criticality in the visual cortex and that sleep restores it. Deviations from criticality predict future sleep/wake behavior better than prior behavior and slow-wave activity.

Radon, a naturally occurring radioactive gas produced when metals like uranium or radium break down in rocks and soil, is a known cause of lung cancer. Now new research has found exposure to high levels of this indoor air pollutant is associated with an increased risk of another condition in middle age to older female participants with ischemic stroke. The study is published in the January 3, 2024, online issue of Neurology, the medical journal of the American Academy of Neurology. Ischemic stroke is caused by a blockage of blood flow to the brain and is the most common type of stroke.

The condition, called clonal hematopoiesis of indeterminate potential (CHIP), develops when some hematopoietic stem cells, the building blocks for all blood cells, undergo genetic mutations as a person ages. Cells with such mutations replicate more quickly than cells without them. Previous research has shown people with CHIP may have a higher risk of blood cancers like leukemia and cardiovascular disease including stroke.

Continue reading “Is Radon linked to health condition other than lung cancer?” »

Ever think you’d see a single atom without staring down the barrel of a powerful microscope? Oxford University physicist David Nadlinger has won the top prize in the fifth annual Engineering and Physical Sciences Research Council’s (EPSRC) national science photography competition for his image ‘Single Atom in an Ion Trap’, which does something incredible: makes a single atom visible to the human eye.

Click image to zoom. Photo: David Nadlinger/EPSRC

Captured on an ordinary digital camera, the image shows an atom of strontium suspended by electric fields emanating from the metal electrodes of an ion trap—those electrodes are about 2mm apart. Nadlinger shot the photo through the window of the ultra-high vacuum chamber that houses the ion trap, which is used to explore the potential of laser-cooled atomic ions in new applications such as highly accurate atomic clocks and sensors, and quantum computing.