At an Intel Labs virtual event today, Intel unveiled Horse Ridge II, its second-generation cryogenic control chip, marking another milestone in the company's progress toward overcoming scalability, one of quantum computing's biggest hurdles. Building on innovations in the first-generation Horse Ridge controller introduced in 2019, Horse Ridge II supports enhanced capabilities and higher levels of integration for elegant control of the quantum system. New features include the ability to manipulate and read qubit states and control the potential of several gates required to entangle multiple qubits.

"With Horse Ridge II, Intel continues to lead innovation in the field of quantum cryogenic controls, drawing from our deep interdisciplinary expertise bench across the Integrated Circuit design, Labs and Technology Development teams. We believe that increasing the number of qubits without addressing the resulting wiring complexities is akin to owning a sports car, but constantly being stuck in traffic. Horse Ridge II further streamlines quantum circuit controls, and we expect this progress to deliver increased fidelity and decreased power output, bringing us one step closer toward the development of a 'traffic-free' integrated quantum circuit."-Jim Clarke, Intel director of Quantum Hardware, Components Research Group, Intel.

They say that it is hard to keep up with Moore's Law, however, for the folks over at Taiwan Semiconductor Manufacturing Company (TSMC), that doesn't seem to represent any kind of a problem. Today, to confirm that TSMC is one of the last warriors for the life of Moore's Law, we have information that the company has completed building its manufacturing facility for the next-generation 3 nm semiconductor node. Located in Southern Taiwan Science Park near Tainan, TSMC is expecting to start high-volume manufacturing of the 3 nm node in that Fab in the second half of 2022. As always, one of the first customers expected is Apple.

Estimated to cost an amazing 19.5 billion US Dollars, the Fab is expected to have an output of 55,000 300 mm (12-inch) wafers per month. Given that the regular facilities of TSMC exceed the capacity of over 100K wafers per month, this new facility is expected to increase the capacity over time and possibly reach the 100K level. The new 3 nm node is going to use the FinFET technology and will deliver a 15% performance gain over the previous 5 nm node, with 30% decreased power use and up to 70% density increase. Of course, all of those factors will depend on a specific design.

During its Q3 earnings call, Samsung Electronics has provided everyone with an update on its foundry and node production development. In the past year or so, Samsung's foundry has been a producer of a 7 nm LPP (Low Power Performance) node as its smallest node. That is now changed as Samsung has started the production of the 5 nm LPE (Low Power Early) semiconductor manufacturing node. In the past, we have reported that the company struggled with yields of its 5 nm process, however, that seems to be ironed out and now the node is in full production. To contribute to the statement that the new node is doing well, we also recently reported that Samsung will be the sole manufacturer of Qualcomm Snapdragon 875 5G SoC.

The new 5 nm semiconductor node is a marginal improvement over the past 7 nm node. It features a 10% performance improvement that is taking the same power and chip complexity or a 20% power reduction of the same processor clocks and design. When it comes to density, the company advertises the node with x1.33 times increase in transistor density compared to the previous node. The 5LPE node is manufactured using the Extreme Ultra-Violet (EUV) methodology and its FinFET transistors feature new characteristics like Smart Difusion Break isolation, flexible contact placement, and single-fin devices for low power applications. The node is design-rule compatible with the previous 7 nm LPP node, so the existing IP can be used and manufactured on this new process. That means that this is not a brand new process but rather an enhancement. First products are set to arrive with the next generation of smartphone SoCs, like the aforementioned Qualcomm Snapdragon 875.

TSMC on Monday announced the N12e silicon fabrication node. An enhancement of its 12 nm FinFET node, N12e is designed for value 5G application processors, MODEMs, and IoT edge devices, such as true-wireless earbuds, smartwatch processors, wearables, VR HMDs, entry-level and mainstream SoCs, etc. The node has been derived from the company's 12FFC+_ULL node, and fits into the 12-16 nm class of nodes. It's intended to succeed the company's 22ULL node (in terms of pricing), offering a 76% increase in logic density, 49% increase in clock speed at a given power, 55% improvement in power draw at a given speed, 50% reduction in SRAM leakage current, and low Vdd, with support for logic voltages as low as 0.4 V. That last bit in particular should make the node suitable for tiny, battery-powered devices such as wearables.

Lightmatter, a leader in silicon photonics processors, today announces its artificial intelligence (AI) photonic processor, a general-purpose AI inference accelerator that uses light to compute and transport data. Using light to calculate and communicate within the chip reduces heat—leading to orders of magnitude reduction in energy consumption per chip and dramatic improvements in processor speed. Since 2010, the amount of compute power needed to train a state-of-the-art AI algorithm has grown at five times the rate of Moore's Law scaling—doubling approximately every three and a half months. Lightmatter's processor solves the growing need for computation to support next-generation AI algorithms.

"The Department of Energy estimates that by 2030, computing and communications technology will consume more than 8 percent of the world's power. Transistors, the workhorse of traditional processors, aren't improving; they're simply too hot. Building larger and larger datacenters is a dead end path along the road of computational progress," said Nicholas Harris, PhD, founder and CEO at Lightmatter. "We need a new computing paradigm. Lightmatter's optical processors are dramatically faster and more energy efficient than traditional processors. We're simultaneously enabling the growth of computing and reducing its impact on our planet."

At Intel, we truly believe in the potential of technology to enrich lives and change the world. This has been a guiding principle since the company was founded. It started with the PC era, when technology enabled the mass digitization of knowledge and networking, bringing 1 billion people onto the internet. Then came the mobile and cloud era, a disruption that changed the way we live. We now have over 10 billion devices connected to supercomputers in the cloud.

We believe the next era will be the intelligent era. An era where we will experience 100 billion intelligent connected devices. Exascale performance and architecture will make this intelligence available to all, enriching our lives in more ways than we can imagine today. This is a future that inspires and motivates me and my fellow Intel architects every day.

A Nikkei investigative report uncovered that two Chinese semiconductor fabrication firms, namely Quanxin Integrated Circuit Manufacturing (QXIC), and Hongxin Semiconductor Manufacturing Co (HSMC), have poached over 100 veteran semiconductor engineers from TSMC since last year. Both firms are recipients of government funding under China's ambitious plan of complete electronics hardware industry independence by 2025. Both firms were floated as recently as 2017, and began hiring specialist engineers and executives with connections across the semiconductor industry, from TSMC. The two began development of a 14 nm-class FinFET node that would support manufacturing of a wide variety of electronics components, including SoCs, ASICs, transceivers, and storage products.

Nikkei estimates that in a span of a year, Taiwan lost more than 3,000 semiconductor engineers to various start-ups in the mainland, including large semiconductor fabs. Sources in TSMC tell the Japanese publication that the company is "very concerned" about the flight of talent toward China, although it didn't believe that there is any immediate danger to the company's output or technological edge. The source advocated a national-level strategy by various Asian governments to retain talent, not through coercion, but by offering better incentives and pay than the Chinese firms flush with public investment.

Intel's upcoming 11th Generation Core "Tiger Lake" processors introduce the company's first major refinement of its 10 nanometer silicon fabrication node, dubbed 10 nm+. The node introduces two key features that work to improve the power characteristics of the silicon, allowing Intel to yield more performance without raising power/thermals over the previous generation. VideoCardz scored a major scoop on 10 nm+, including the introduction of the new SuperFin transistor, and SuperMIM capacitor.

SuperFin is a redesigned FinFET, a nanoscale transistor, which offers increased gate pitch, yielding higher drive current, improved channel mobility, and an improved source/drain, yielding in lower resistance. The other key component of 10 nm+ is SuperMIM, delivering a 5 times increase in metal-insulator-metal capacitance. Intel is yet to put out energy efficiency gain numbers for the process, but promises a "dramatic increase in frequency" over the previous generation, which lines up with leaks of the Core i7-1185G7 shipping with significantly higher clock speeds.

AMD today announced availability of new AMD Radeon Pro 5000 series GPUs for the updated 27-inch iMac. The new GPUs power a wide variety of graphically intensive applications and workloads, unleashing creativity and productivity for consumer and professional users alike. The new AMD Radeon Pro 5000 series GPUs are built on industry-leading 7 nm process technology and advanced AMD RDNA graphics architecture. They feature up to 40 compute units and up to 16 GB of high-speed GDDR6 memory while delivering up to 7.6 teraflops of single precision (FP32) computational performance.

"AMD Radeon Pro 5000 series GPUs bring new levels of performance and flexibility to the updated 27-inch iMac," said Scott Herkelman, corporate vice president and general manager, Graphics Business Unit at AMD. "The new AMD GPUs offer the optimal combination of compute performance, energy efficiency and outstanding graphics features to power a wide range of applications - from consumer to pro - wherever graphics matter the most."

Today we are finding out that Intel has allegedly infringed FinFET patents of Microelectronics Institute of the Chinese Academy of Sciences. On July 28th, the patent review committee has heard an application that accuses Intel of violating a patent 201110240931.5 commonly referred to as FinFET patent. The patent dates back to 2011, and it comes from the Chinese Academy of Sciences, mainly Microelectronics Institute. The Chinese patent holders are asking for as much as 200 million yuan, which roughly translates to 28,664,380 US dollars. Given that this patent infringement is a major one for Intel, it is sure that a company will be pursued extensively in court. All of the Intel's semiconductors use FinFET technology, and if this is true, the violation is rather big. For more in detail reading, please refer to the source which goes through the history of Intel and Microelectronics Institute patent violation filing.

GLOBALFOUNDRIES (GF), the world's leading specialty foundry, today announced its most advanced FinFET solution, 12LP+, has completed technology qualification and is ready for production. GF's differentiated 12LP+ solution is optimized for artificial intelligence (AI) training and inference applications. Built on a proven platform with a robust production ecosystem, 12LP+ offers chip designers an efficient development experience and a fast time-to-market.

Contributing to its best-in-class combination of performance, power and area, 12LP+ introduces new features including an updated standard cell library, an interposer for 2.5D packaging, and a low-power 0.5 V Vmin SRAM bitcell that supports the low latency and power-efficient shuttling of data between the AI processors and memory. The result is a semiconductor solution engineered to meet the specific needs of the fast-growing AI market.

Semiconductor manufacturing is a hard business. There is a constant need for manufacturers to compete with each other and if they don't, they get left behind. Intel, as one of the biggest semiconductor makers in the world, is always trying to invent new technologies spending massive R&D funds on semiconductors. New technologies such as nanowire/nanoribbon transistors, which are supposed to enable transistor sizes unimaginable now, are on its way to make it in the hand of consumers. During the international VLSI conference, Intel's CTO Mike Mayberry held a presentation about how Intel plans to address the demand for more compute by showing off new technologies.

With a presentation titled "The Future of Compute", Mr. Mayberry made some exciting claims and predictions. So far, we have been used to FinFET transistors since the 22 nm node from Intel. However, as nodes get smaller the gate of the transistor is not enough to keep it from switching randomly. So to avoid that problem Intel, along with other semiconductor manufacturers like Samsung, created a solution called Gate-All-Around FET (GAAFET). This technology takes a transistor fin and wraps in around all sides (see picture below), so the gate has better switching control, preventing random switching and errors. As a fin, nanowire or nanosheet (wider option from nanowire) can be used and they can be stacked. These allow for additional control of tailoring whatever a node will be used for high performance or low power. Intel predicts that they will start high volume manufacturing of silicon based on this technology in five years. This is setting an important milestone for Intel as well as other industry players, as now everyone will rush to deliver it first. It is now a waiting game to see who will actually come out with it first.

A report via DigiTimes places TSMC as having announced to its investors that exploratory studies and R&D for the development of the 2 nm process node have commenced. As today's leading semiconductor fabrication company, TSMC doesn't seem to be one resting on its laurels. Their 7 nm process and derivatives have already achieved a 30% weight on the company's semiconductor orders, and their 5 nm node (which will include EUV litography) is set to hit HVM (High Volume Manufacturing) in Q2 of this year. Apart from that, not much more is known on 2 nm.

After 5 nm, which is expected to boats of an 84-87% transistor density gain over the current 7nm node, the plans are to go 3nm, with TSMC expecting that node to hit mass production come 2022. Interestingly, TSMC is planning to still use FinFET technology for its 3 nm manufacturing node, though in a new GAAFET (gate-all-around field-effect transistor) technology. TSMC's plans to deploy FinFET in under 5nm manufacturing is something that many industry analysts and specialist thought extremely difficult to achieve, with expectations for these sub-5nm nodes to require more exotic materials and transistor designs than TSMC's apparent plans