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Google Ups The Ante In Quantum Computing

March 9, 2018 by 36 Comments

At the American Physical Society conference in early March, Google announced their Bristlecone chip was in testing. This is their latest quantum computer chip which ups the game from 9 qubits in their previous test chip to 72 — quite the leap. This also trounces IBM and Intel who have 50- and 49-qubit devices. You can read more technical details on the Google Research Blog.

It turns out that just the number of qubits isn’t the entire problem, though. Having qubits that last longer is important and low-noise qubits help because the higher the noise figure, the more likely you will need redundant qubits to get a reliable answer. That’s fine, but it does leave fewer qubits for working your problem.

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Autodesk Introduces Parametric Part Generation

March 8, 2018 by 43 Comments

The hardest part of any PCB design is adding parts and components. You shouldn’t use random part libraries, and creating your own part libraries is just a pain. Why have we endured this pain for so long, especially considering that most components follow a standard? Add in the fact that 3D modeling and rendering a board in a mechanical CAD tool is now a thing, making creating your own part libraries even more involved.

To solve this problem, Autodesk has introduced library.io, a tool to parametrically generate component footprints for Eagle and 3D models for Fusion360. Given that most parts follow a standard — QFP, TO-, DFN, or SOT23 — this is now the easiest way to create a new part in Eagle with its own 3D model that allows you to bring it into mechanical CAD tools.

An overview parametric parts generation is written up on the Autodesk forums, and covers what is possible with this new tool. There are actually two distinct versions, one is a web-based app that allows you to create packages and footprints parametrically in your browser and export them as a library. The other version of the tool is integrated with Eagle and allows you to create a new component parametrically from within Eagle.

This is a far cry from the standard method of creating new footprints. Instead of toiling over a datasheet and dropping correctly sized pads onto a grid, creating a new parametric footprint is as easy as copying a few numbers. In addition to the new parametric design feature, there’s a new tool in Eagle that does away with placing and naming pins for symbols. Now you can simply cut and paste a list of pins from the datasheet.

It should be noted that everything created with the library.io tool can be downloaded and used offline. Combine that with the recent news that KiCad can now ingest Eagle board and schematic files, and you have a way to create parametric footprints in everyone’s favorite Open Source PCB tool as well.

The Pontoon Bridge Being Floated As An NYC Transit Fix

March 8, 2018 by 96 Comments

New York City’s L train carries about 400,000 passengers a day, linking Manhattan and Brooklyn and bringing passengers along 14th Street, under the East River, and through the neighborhoods of Williamsburg, Bushwick, Ridgewood, Brownsville, and Canarsie. About 225,000 of these passengers pass through the Canarsie Tunnel, a two-tube cast iron rail tunnel built below the East River between Manhattan and Brooklyn in 1924. Like many other New York City road and subway tunnels, the Canarsie Tunnel was badly damaged when Hurricane Sandy’s storm surge inundated the tubes with million of gallons of salt water. Six years later, the impending closure of the tunnel is motivating New Yorkers to develop their own ambitious infrastructure ideas.

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Microchip Acquires Microsemi For $8.35B

March 2, 2018 by 37 Comments

Microchip has acquired Microsemi for $8.35 Billion dollars. Rumors of this acquisition were floating around earlier this week, but now the deal is done.

This acquisition is the latest in a years-long process of consolidation in the silicon industry. Previously, Broadcom attempted a hostile takeover of Qualcomm for One… Hundred… Billion dollars. Lattice would have been bought if the deal wasn’t shut down for national security concerns. Of course, Microchip bought Atmel in a deal likened to the fall of Constantinople, NXP and Freescale merged, Intel bought Altera, Linear and Analog are one, and On Semiconductor acquired Fairchild.

With the acquisition of Microsemi, Microchip will be looking to add a few interesting components and capabilities to their portfolio. In contrast to Microchip’s portfolio, you won’t find many Microsemi parts on a hacker’s workbench; they’re dealing with stuff like optical networking and avionics. Closer to home, they have a large line of FPGAs and some nice frequency synthesizers.

Of course, there are slightly cooler components in Microsemi’s portfolio. If you’ve ever wanted a rad-tolerant telemetry controller for reaction wheels and thruster assemblies, they’ve got your back. Just connect that to Microchip’s rad-hard Arduino and you have a complete satellite built from Microchip parts.

Memcached Servers Abused For DDoS Attacks

March 1, 2018 by 11 Comments

Cloudflare announced recently that they are seeing an increase in amplification attacks using memcached servers, and that this exploit has the potential to be a big problem because memcached is capable of amplifying an attack significantly. This takes DDoS attacks to a new level, but the good news is that the problem is confined to a few thousand misconfigured servers, and the solution is to put the servers behind a tighter firewall and to disable UDP. What’s interesting is how the fundamental workings of the Internet are exploited to create and direct a massive amount of traffic.

We start with a botnet. This is when a bunch of Internet-connected devices are compromised and controlled by a malicious user. This could be a set of specific brand of web camera or printer or computer with unsecured firmware. Once the device is compromised, the malicious user can control the botnet and have it execute code. This code could mine cryptocurrency, upload sensitive data, or create a lot of web traffic directed at a particular server, flooding it with requests and creating a distributed denial of service (DDoS) attack that takes down the server. Since the server can’t distinguish regular traffic from malicious traffic, it can’t filter it out and becomes unresponsive.

This DDoS attack is limited to the size of the botnet’s bandwidth, though. If all the web cameras in the botnet are pounding a server as fast as they can, the botnet has reached its max. The next trick is called an amplification attack, and it exploits UDP. UDP (as opposed to TCP) is like the early post office; you send mail and hope it gets there, and if it doesn’t then oh well. There’s no handshaking between communicating computers. When a device sends a UDP packet to a server, it includes the return address so that the server can send the response back. If the device sends a carefully crafted fake request with a different return address, then the server will send the response to that spoofed return address.

So if the web camera sends a request to Server A and the response is sent to Server B, then Server A is unintentionally attacking Server B. If the request is the same size as the response, then there’s no benefit to this attack. If the request is smaller than the response, and Server A sends Server B a bunch of unrequested data for every request from the camera, then you have a successful amplification attack. In the case of memcached, traffic can be amplified by more than 50,000 times, meaning that a small botnet can have a huge effect.

Memcached is a memory caching system whose primary use is to help large websites by caching data that would otherwise be stored in a database or API, so it really shouldn’t be publicly accessible anyway.  And the solution is to turn off public-facing memcached over UDP, but the larger solution is to think about what things you are making available to the Internet, and how they can be used maliciously.

Bye Bye, Maplin

March 1, 2018 by 97 Comments

Well, that was quick. Four days ago we mentioned that the British electronics retail chain Maplin was being offered for sale, and today it has been announced that no buyer has been found and the company is going into administration.

We dealt with all the nostalgia for what was roughly a British equivalent to Radio Shack in our previous post. Perhaps now it’s time to look beyond the jumpers-for-goalposts reminiscences about spaceships on the catalogues for a moment, and consider what this means for us in 2018.

It’s fairly obvious that a retail model for selling either electronic tat or components is no longer viable in an age of online ordering and availability of almost anything at knock-down prices for anyone prepared to wait for a packet from China. This applies on both sides of the Atlantic, but for British retailers, the killer combination of very high rents and local business taxes makes it particularly difficult. Maplin were extremely convenient when you needed a part immediately, but the universal reaction from Hackaday readers was that they were overpriced. It’s the same story that has cleared away numerous chains in other sectors, and the toxic view that retail property is still the goldmine it might have been in decades past is largely responsible.

Despite all that, there must still be some demand for electronic components at a retail level even if the economics no longer support a showroom model. Perhaps a trade counter operation might have better luck, it will be interesting to see whether suppliers such as RS Components or CPC expand their networks to try to capture that business. Whatever happens, we’ll keep you posted.

Microsoft Quantum Simulator Goes To Linux And Mac

February 28, 2018 by 13 Comments

Everyone seems to be gearing up for the race to be the king of quantum computers. The latest salvo is Microsoft’s, they have announced that their quantum simulator will now run on macOS and Linux, with associated libraries and examples that are now fully open source. They have produced a video about the new release, which you can see below.

Microsoft also claims that their simulator is much faster than before, especially on large simulations. Of course, really large simulations suffer from memory problems, not speed problems. You can run their simulator locally or on their Azure cloud.

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