DaVinci’s New Threads

Last year, we saw [How To Make Everything’s] take on [DaVinci’s] machine for cutting threads. However, they stopped short of the goal, which was making accurate metal screw threads. After much experimentation, they have a working solution. In fact, they tried several different methods, each with varying degrees of success.

Some of the more unusual methods included heating a bar red hot and twisting it, and casting a screw out of bronze. The last actually worked well with a normal screw as the mold, although presumably, a good wood or wax shape would have resulted in a workable mold, too.

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Using Antimony To Make Qubits More Stable

One of the problems with quantum bits, or “qubits”, is that they tend to be rather fragile, with a high sensitivity to external influences. Much of this is due to the atoms used for qubits having two distinct spin states of up or down, along with the superposition. Any disturbing of the qubit’s state can cause it to flip between either spin, erasing the original state. Now antimony is suggested as a better qubit atom by researchers at the University of New South Wales in Australia due to it having effectively eight spin states, as also detailed in the university press release along with a very tortured ‘cats have nine lives’ analogy.

For the experiment, also published in Nature Physics, the researchers doped a silicon semiconductor with a single antimony atom, proving that such an antimony qubit device can be manufactured, with the process scalable to arrays of such qubits. For the constructed device, the spin state is controlled via a transistor constructed on top of the trapped atom. As a next step a device with closely spaced antimony atoms will be produced, which should enable these to cooperate as qubits and perform calculations.

By having the qubit go through many more states to fully flip, these qubits can potentially be much more stable than contemporary qubits. That said, there’s still a lot more research and development to be done before a quantum processor based this technology can go toe-to-toe with a Commodore 64 to show off the Quantum Processor Advantage. Very likely we’ll be seeing more of IBM’s hybrid classical-quantum systems before that.

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Hackaday Links: February 16, 2025

Just when you thought the saga of the Bitcoin wallet lost in a Welsh landfill was over, another chapter of the story appears to be starting. Regular readers will recall the years-long efforts of Bitcoin early adopter James Howells to recover a hard drive tossed out by his ex back in 2013. The disk, which contains a wallet holding about 8,000 Bitcoin, is presumed to be in a landfill overseen by the city council of Newport, which denied every request by Howells to gain access to the dump. The matter looked well and truly settled (last item) once a High Court judge weighed in. But the announcement that the Newport Council plans to cap and close the landfill this fiscal year and turn part of it into a solar farm has rekindled his efforts.

Howells and his investment partners have expressed interest in buying the property as-is, in the hopes of recovering the $780 million-ish fortune. We don’t think much of their odds, especially given the consistently negative responses he’s gotten over the last twelve years. Howells apparently doesn’t fancy his odds much either, since the Council’s argument that closing the landfill to allow him to search would cause harm to the people of Newport was seemingly made while they were actively planning the closure. It sure seems like something foul is afoot, aside from the trove of dirty diapers Howells seeks to acquire, of course.

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How Hard Is It To Write A Calculator App?

How hard can it be to write a simple four-function calculator program? After all, computers are good at math, and making a calculator isn’t exactly blazing a new trail, right? But [Chad Nauseam] will tell you that it is harder than you probably think. His post starts with a screenshot of the iOS calculator app with a mildly complex equation. The app’s answer is wrong. Android’s calculator does better on the same problem.

What follows is a bit of a history lesson and a bit of a math lesson combined. As you might realize, the inherent problem with computers and math isn’t that they aren’t good at it. Floating point numbers have a finite precision and this leads to problems, especially when you do operations that combine large and small numbers together.

Indeed, any floating point representation has a bigger infinity of numbers that it can’t represent than those that it can. But the same is true of a calculator. Think about how many digits you are willing to type in, and how many digits you want out. All you want is for each of them to be correct, and that’s a much smaller set of numbers.

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Graphene Tattoos: The Future Of Continuous Health Monitoring?

In the near future, imagine a world where your health is continuously monitored, not through bulky devices but through an invisible graphene tattoo. Developed at the University of Massachusetts Amherst, these tattoos could soon detect a range of health metrics, including blood pressure, stress levels, and even biomarkers of diseases like diabetes. This technology, though still in its infancy, promises to revolutionize how we monitor health, making it possible to track our bodies’ responses to everything from exercise to environmental exposure in real-time.

Graphene, a single layer of carbon atoms, is key to the development of these tattoos. They are flexible, transparent, and conductive, making them ideal for bioelectronics. The tattoos are so thin and pliable that users won’t even feel them on their skin. In early tests, graphene electronic tattoos (GETs) have been used to measure bioimpedance, which correlates with blood pressure and other vital signs. The real breakthrough here, however, is the continuous, non-invasive monitoring that could enable early detection of conditions that usually go unnoticed until it’s too late.

While still requiring refinement, this technology is advancing rapidly. Graphene still amazes us, but it’s no longer just science fiction. Soon, these tattoos could be a part of everyday life, helping individuals track their health and enabling better preventative care. Since we’re hackers out here –  but this is a far fetch – combining this knowledge on graphene production, and this article on tattooing with a 3D printer, could get you on track. Let us know, what would you use graphene biosensors for?

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[Quinn Dunki] Makes A Screw Shortener Fit For Kings

It’s common problem when you’re building anything with screws: this one is too long, this one is too short. While she can’t teach you how to fix the latter, [Quinn Dunki] has made herself an absolutely deluxe screw shortening jig. And while that’s cool and all, the real value here is the journey; watching over [Quinn]’s shoulders while she’s in the machine shop is always illuminating.

First off, she starts with her old jig, which frankly makes us want one. It’s a short piece of aluminum angle stock with threaded holes in it. You thread the screw in as far as you want, and use the edge as a cutting guide. Very nice!

But aluminum threads wear out quickly so it works if you’re shortening dozens of screws, but gets wonky when you need to cut hundreds. The new jig is made out of steel, and has a slit that clamps the threads in place so she doesn’t have to hold the tiny screws with her other hand while sawing.

This video is, on the surface, about making an improved tool out of steel. But it’s the tips along the way that make it worth your watch. For instance “deburr early and often” is a recurring leitmotif here: it keeps the extra bits that form along any cut from messing up edge finding or vise registration. And yeah, she deburrs after every operation.

There are mistakes, and lessons learned along the way. We’re not going to spoil it all. But in the end, it’s a sweet tool that we’ve never seen before.

If you haven’t read [Quinn]’s series on machine tools that she wrote for us, it’s a treasure trove of machining wisdom.

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Piano Gets An Arduino Implant

[Paul] likes his piano, but he doesn’t know how to play it. The obvious answer: program an Arduino to do it. Some aluminum extrusion and solenoids later, and it was working. Well, perhaps not quite that easy — making music on a piano is more than just pushing the keys. You have to push multiple keys together and control the power behind each strike to make the music sound natural.

The project is massive since he chose to put solenoids over each key. Honestly, we might have been tempted to model ten fingers and move the solenoids around in two groups of five. True, the way it is, it can play things that would not be humanly possible, but ten solenoids, ten drivers, and two motors might have been a little easier and cheaper.

The results, however, speak for themselves. He did have one problem with the first play, though. The solenoids have a noticeable click when they actuate. The answer turned out to be orthodontic rubber bands installed on the solenoids. We aren’t sure we would have thought of that.

Player pianos, of course, are nothing new. And, yes, you can even make one with a 555. If a piano isn’t your thing, maybe try a xylophone instead.

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