An Entirely Different Kind of Quantum Computer

That’s mainly because, as of yet, there is no real consensus on which technological approach will be able make universal quantum computing commercially viable.

In a recent conversation with IonQ CEO and cofounder Chris Monroe, he told us why he believes this approach has the best chance of making the leap into commercial quantum computing.

Since the laser beams are under programmatic control, the quantum hardware can be constructed on the fly to optimize the circuit layout for the application.

Quantum computing is intended to be applied to a wide array of optimization problems in areas such as quantum chemistry, logistics, machine learning, and cryptography, so being able to codesign the hardware with the software in FPGA-like fashion is yet another way IonQ differentiates itself from its hard-wired competition.

That’s as good as or better than what any solid-state quantum device has been able to achieve to date.

According to him, those systems will need perhaps just 10 or 20 qubits per usable qubit, which is orders of magnitude lower than what will be required for error correction with solid-state quantum devices.

Monroe thinks solid-state quantum computing processors are a dead end.

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Nvidia’s new $99 pocket-sized AI computer is designed for DIY projects

Nvidia has just released a $99 pocket-sized computer named the Jetson Nano, targeted towards “Embedded designers, researchers, and DIY makers” who want to tinker with a system for offline AI development.

The developer kit is powered by a 64-bit quad-core ARM processor, and a 128-core Nvidia Maxwell GPU with 4GB of RAM to deliver processing speeds up to 472 Gflops.

The computer can run Linux out of the box, and supports popular machine learning platforms likeTensorFlow, PyTorch, Caffe, Keras, and MXNet, along with frameworks for vision and robotics development like OpenCV and ROS. This means that developers can use the Jetson Nano for video analytics with up to eight simultaneous HD streams – ideal for a small security camera setup.

The company also showed off a $250 model robot named the Jetbot, powered by the kit; the idea is to showcase the computer’s ability to aid in robotics application development, in addition to its AI chops.

You can buy the developer kit for $99 through Nvidia’s distributor network now, or wait till June to get the $129 production-ready version.

Nvidia’s not the only company with pocket-sized AI computers out there.

You can learn more about the Jetson Nano computer here, and check out Nvidia’s GitHub repository to get started on your own projects.

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Undiscovered Bach? No, a Computer Wrote It

Dr. Burman-Hall said that EMI did its best renditions of composers like Bach or Mozart, whose style is ”more Apollonian, restrained, logical and equation-like.

” The program is not so successful, she said, with less predictable composers like Beethoven or Bach’s son Carl Philipp Emanuel Bach.

As a test of EMI’s abilities, Dr. Cope likes to play its compositions to people who do not know they are hearing music written by a computer.

In 1988 EMI produced its first decent Bach invention.

”There is a big jump between what Cope calls signatures and what I call style, ” said Jonathan Berger, a composer and researcher at the Center for Computer Research in Music and Acoustics at Stanford.

Dr. Dennett said EMI’s Bach reminded him of the pseudo-French spoken in Garrison Keillor’s parody about the restaurant called Cafe Boeuf.

Ultimately EMI’s success relies on humans – not just the composers who wrote the music it imitates but also the programmer-composer who wrote the ingenious computer code.

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