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Archive for the ‘computing’ category: Page 387

Jan 20, 2022

Intel has placed an order for the next-gen High-NA EUV tools to fabricate 1.8nm chips

Posted by in categories: computing, innovation

ASML President and CTO Martin van den Brink said:

“Intel’s vision and early commitment to ASML’s High-NA EUV technology is proof of its relentless pursuit of Moore’s Law. Compared to the current EUV systems, our innovative extended EUV roadmap delivers continued lithographic improvements at reduced complexity, cost, cycle time and energy that the chip industry needs to drive affordable scaling well into the next decade.”

Intel plans to start high-volume manufacturing (HVM) in 2025, which is also when the company will be using its 18A (1.8nm) fabrication technology. To do so, Intel has been experimenting for quite a while when it first obtained ASML’s Twinscan EXE:5000, which was the industry’s first EUV scanner with a 0.55 numerical aperture. Today, the company ordered ASML’s next-generation High-NA tool, the Twinscan EXE:5200.

Jan 20, 2022

This 22-Year-Old Builds Chips in His Parents’ Garage

Posted by in category: computing

Sam Zeloof combines 1970s-era machines with homemade designs. His creations show what’s possible for small-scale silicon tinkerers.

Jan 20, 2022

Major Breakthrough As Quantum Computing in Silicon Hits 99% Accuracy

Posted by in categories: computing, quantum physics

UNSW Sydney-led research paves the way for large silicon-based quantum processors for real-world manufacturing and application.

Australian researchers have proven that near error-free quantum computing is possible, paving the way to build silicon-based quantum devices compatible with current semiconductor manufacturing technology.

“Today’s publication in Nature shows our operations were 99 percent error-free,” says Professor Andrea Morello of UNSW, who led the work.

Jan 20, 2022

Quantum computing in silicon hits 99% accuracy

Posted by in categories: computing, quantum physics

UNSW Sydney-led research paves the way for large silicon-based quantum processors for real-world manufacturing and application.

Australian researchers have proven that near error-free quantum computing is possible, paving the way to build silicon-based compatible with current semiconductor manufacturing technology.

Continue reading “Quantum computing in silicon hits 99% accuracy” »

Jan 20, 2022

A language for Quantum computing

Posted by in categories: computing, quantum physics

Time crystals. Microwaves. Diamonds. What do these three disparate things have in common?

Quantum computing. Unlike traditional computers that use bits, quantum computers use qubits to encode information as zeros or ones, or both at the same time. Coupled with a cocktail of forces from quantum physics, these fridge-sized machines can process a whole lot of information – but they’re far from flawless. Just like our regular computers, we need to have the right programming languages to properly compute on quantum computers.

Programming quantum computers requires awareness of something called “entanglement”, a computational multiplier for qubits of sorts, which translates to a lot of power. When two qubits are entangled, actions on one qubit can change the value of the other even when they are physically separated, giving rise to Einstein’s characterization of “spooky action at a distance.” But that potency is equal parts a source of weakness. When programming, discarding one qubit without being mindful of its entanglement with another qubit can destroy the data stored in the other, jeopardizing the correctness of the program.

Jan 20, 2022

Scientists achieve key elements for fault-tolerant quantum computation in silicon spin qubits

Posted by in categories: computing, quantum physics

Researchers from RIKEN and QuTech—a collaboration between TU Delft and the Netherlands Organisation for Applied Scientific Research (TNO)— have achieved a key milestone toward the development of a fault-tolerant quantum computer. They were able to demonstrate a two-qubit gate fidelity of 99.5 percent—higher than the 99 percent considered to be the threshold for building fault-tolerant computers—using electron spin qubits in silicon, which are promising for large-scale quantum computers as the nanofabrication technology for building them already exists. This study was published in Nature.

The world is currently in a race to develop large-scale quantum computers that could vastly outperform classical computers in certain areas. However, these efforts have been hindered by a number of factors, including in particular the problem of decoherence, or noise generated in the qubits. This problem becomes more serious with the number of qubits, hampering scaling up. In order to achieve a large-scale that could be used for useful applications, it is believed that a two-qubit gate fidelity of at least 99 percent to implement the surface code for error correction is required. This has been achieved in certain types of computers, using qubits based on superconducting circuits, trapped ions, and nitrogen-vacancy centers in diamond, but these are hard to scale up to the millions of qubits required to implement practical quantum computation with an error correction.

To address these problems, the group decided to experiment with a quantum dot structure that was nanofabricated on a strained silicon/silicon germanium quantum well substrate, using a controlled-NOT (CNOT) gate. In previous experiments, the gate fidelity was limited due to slow gate speed. To improve the gate speed, they carefully designed the device and tuned it by applying different voltages to the gate electrodes. This combined an established fast single-spin rotation technique using micromagnets with large two-qubit coupling. The result was a gate speed that was 10 times better than previous attempts. Interestingly, although it had been thought that increasing gate speed would always lead to better fidelity, they found that there was a limit beyond which increasing the speed actually made the fidelity worse.

Jan 19, 2022

Quantum startups Pasqal and Qu&Co merge and promise 1,000 qubits by 2023

Posted by in categories: computing, information science, particle physics, quantum physics

Hardware company uses neutral atom design while algorithm experts integrate quantum algorithms into existing software platforms.

Pasqal is combining its neutral atom-based hardware with Qu&Co’s algorithm portfolio to launch a combined quantum computing company based in Paris with operations in seven countries. The companies announced the merger Tuesday, Jan. 11.

Jan 19, 2022

How To Build The Universe in a Computer

Posted by in categories: computing, physics, space, transhumanism

This series is absolutely fantastic. Especially for Transhumanist non-astrophysicists like me!


Thank you to Wren for supporting PBS. To learn more, go to https://wren.co/start/spacetime.

Continue reading “How To Build The Universe in a Computer” »

Jan 19, 2022

In a Historic Milestone, Silicon Quantum Computing Just Exceeded 99% Accuracy

Posted by in categories: computing, quantum physics

A major milestone has just been reached in quantum computing.

Three separate teams around the world have passed the 99 percent accuracy threshold for silicon-based quantum computing, placing error-free quantum operations within tantalizing grasp.

In Australia, a team led by physicist Andrea Morello of the University of New South Wales achieved 99.95 percent accuracy with one-qubit operations, and 99.37 percent for two-qubit operations in a three-qubit system.

Jan 19, 2022

Arduino Meets Quantum Computer

Posted by in categories: computing, internet, quantum physics

| Hackaday


Quantum computers aren’t quite ready for the home lab, but since there are ways to connect to some over the Internet, you can experiment with them more easily than you might think. [Norbert] decided to interface a giant quantum computer to an ordinary Arduino. Why? Well, that isn’t necessarily clear, but then again, why not? He explains basic quantum computing and shows his setup in the video below.

Continue reading “Arduino Meets Quantum Computer” »