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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.

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


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We routinely simulate the universe on all of its scales, from planets to large fractions of the cosmos. Today we’re going to see how it’s possible to build a universe in a computer — and see whether there’s a limit to what we can simulate.

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.

| 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.

Using the IBM quantum computer and the open source Qiskit makes it relatively easy, with the Python code he’s using on the PC acting as a link between the Arduino and the IBM computer. Of course, you can also use simulation instead of using the real hardware, and for such a simple project it probably doesn’t matter.

Granted, the demo is pretty trivial, lighting an LED with the state of qubit. But the technique might be useful if you wanted to, say, gather information from the real world into a quantum computer. You have to start somewhere.

On Tuesday, January 4, Panasonic announced that Redwood Materials would start supplying copper foil to its battery production facility in Giga Nevada. The Japanese tech giant announced the news during the 2022 CES tech trade show.

“Our work together to establish a domestic circular supply chain for batteries is an important step in realizing the full opportunity that EVs have to shape a much more sustainable world,” said Allan Swan, the President of Panasonic Energy of North America, at the latest CES tech trade show.

Redwood Materials, which former Tesla CTO JB Straubel founded, will be supplying Panasonic with copper foil made from recycled materials. The company recycles scripts from discarded electronics like cell phone batteries, laptops, power tools, and even scooters and electric bicycles. Redwood extracts materials like cobalt, nickel, and lithium, which are usually mined, from discarded electronics.

Magnets and superconductors don’t normally get along, but a new study shows that ‘magic-angle’ graphene is capable of producing both superconductivity and ferromagnetism, which could be useful in quantum computing.

When two sheets of the carbon nanomaterial graphene are stacked together at a particular angle with respect to each other, it gives rise to some fascinating physics. For instance, when this so-called “magic-angle graphene” is cooled to near absolute zero 0, it suddenly becomes a superconductor, meaning it conducts electricity with zero resistance.

Now, a research team from Brown University has found a surprising new phenomenon that can arise in magic-angle graphene. In research published in the journal Science, the team showed that by inducing a phenomenon known as spin-orbit coupling, magic-angle graphene becomes a powerful ferromagnet.

A University of Melbourne-led team has perfected a technique for embedding single atoms in a silicon wafer one-by-one. Their technology offers the potential to make quantum computers using the same methods that have given us cheap and reliable conventional devices containing billions of transistors.

“We could ‘hear’ the electronic click as each atom dropped into one of 10,000 sites in our prototype device. Our vision is to use this technique to build a very, very large-scale quantum device,” says Professor David Jamieson of The University of Melbourne, lead author of the Advanced Materials paper describing the process.

His co-authors are from UNSW Sydney, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Leibniz Institute of Surface Engineering (IOM), and RMIT Microscopy and Microanalysis Facility.