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Expect the semiconductor shortage to last until early 2023, Deloitte said in a new report released Wednesday. By the end of 2022, customers will still be waiting 10 to 20 weeks for multiple kinds of chips, the consulting firm predicts.

While the shortage will continue, it will be less severe, Deloitte says in its Technology, Media & Telecommunications (TMT) 2022 Predictions report. The shortage is also driving fresh investment in the industry, as demand continues to grow. Deloitte predicts that venture capital (VC) firms globally will invest more than US$6 billion in semiconductor companies in 2022. That’s more than 3x larger than VC investment in semiconductors every year between 2000 and 2016.

The ongoing shortage won’t hit the industry evenly, Deloitte notes. Chips made on the most advanced process nodes (3-, 5-, and 7-nanometer) will continue to be in short supply — they’re in high demand and the hardest to make. At the end of the day, Deloitte predicts the shortage will last 24 months before it recedes, similar to the duration of the 2008–2009 chip shortage.

Nov 30 (Reuters) — Amazon.com Inc’s (AMZN.O) cloud computing unit on Tuesday introduced two new custom computing chips aimed at helping its customers beat the cost of using chips from Intel Corp (INTC.O) and Nvidia Corp (NVDA.O).

With $45.37 billion in sales in 2020, Amazon Web Services (AWS) is the world’s biggest cloud computing provider and one of the biggest buyers of data center chips, whose computing power AWS rents out to its customers. Ever since buying a startup called Annapurna Labs in 2015, AWS has worked to develop its own custom chips.

On Tuesday, the company released the third generation of its Graviton chip that is designed to compete with central processors from Intel and Advanced Micro Devices (AMD.O). The Graviton3 is 25% faster than its predecessor, and Dave Brown, vice president of Elastic Compute Cloud at Amazon, told Reuters that the company expects it to provide a better performance per dollar than Intel’s chips.

And it uses components already commercially available.

Engineers at Stanford University have demonstrated a new, simpler design for a quantum computer that could help practical versions of the machine finally become a reality, a report from New Atlas reveals.

The new design sees a single atom entangle with a series of photons, allowing it to process and store more information, as well as run at room temperature — unlike the prototype machines being developed by the likes of Google and IBM.

Quantum computers rely on qubits rather than the ones and zeroes, or bits, of classical computing. Qubits can exist in three different states — a one, a zero, or a superposition of one and zero simultaneously — meaning they can, in theory, carry out computations it would take classical computers thousands of years to achieve.

Though quantum computers have the capacity to perform such complex tasks, they have so far been hindered by their sensitivity to heat and vibrations — a problem that means they have to be kept at temperatures close to absolute zero.

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Today’s quantum computers are complicated to build, difficult to scale up, and require temperatures colder than interstellar space to operate. These challenges have led researchers to explore the possibility of building quantum computers that work using photons—particles of light. Photons can easily carry information from one place to another, and photonic quantum computers can operate at room temperature, so this approach is promising. However, although people have successfully created individual quantum “logic gates” for photons, it’s challenging to construct large numbers of gates and connect them in a reliable fashion to perform complex calculations.

According to reports, Samsung will increase the proportion of Exynos chips used in its own models in 2022 to reduce its dependence on Qualcomm chips. Samsung’s use of Exynos chips in its own models will increase by about 2–3 times next year. At the same time, Samsung has set a sales target of 300 million mobile phones next year.

Industry insiders pointed out that Samsung is vigorously supporting Exynos chips. On the one hand, it will increase the proportion of Exynos chips in its own models. On the other hand, it is open to partners. Recall that the company co-developed the Exynos 1,080 chip with Vivo which the latter used in the Vivo X60 series.

Today’s quantum computers are complicated to build, difficult to scale up, and require temperatures colder than interstellar space to operate. These challenges have led researchers to explore the possibility of building quantum computers that work using photons—particles of light. Photons can easily carry information from one place to another, and photonic quantum computers can operate at room temperature, so this approach is promising. However, although people have successfully created individual quantum “logic gates” for photons, it’s challenging to construct large numbers of gates and connect them in a reliable fashion to perform complex calculations.

Now, Stanford University researchers have proposed a simpler design for photonic quantum computers using readily available components, according to a paper published Nov. 29 in Optica. Their proposed design uses a laser to manipulate a single atom that in turn, can modify the state of the photons via a phenomenon called “quantum teleportation.” The atom can be reset and reused for many quantum gates, eliminating the need to build multiple distinct physical gates, vastly reducing the complexity of building a quantum .

“Normally, if you wanted to build this type of quantum computer, you’d have to take potentially thousands of quantum emitters, make them all perfectly indistinguishable, and then integrate them into a giant photonic circuit,” said Ben Bartlett, a Ph.D. candidate in applied physics and lead author of the paper. “Whereas with this design, we only need a handful of relatively simple components, and the size of the machine doesn’t increase with the size of the quantum program you want to run.”

On-chip frequency shifters in the gigahertz range could be used in next generation quantum computers and networks.

The ability to precisely control and change properties of a photon, including polarization, position in space, and arrival time, gave rise to a wide range of communication technologies we use today, including the Internet. The next generation of photonic technologies, such as photonic quantum networks and computers, will require even more control over the properties of a photon.

One of the hardest properties to change is a photon’s color, otherwise known as its frequency, because changing the frequency of a photon means changing its energy.