Lifeboat Foundation

The need to make some hardware systems tinier and tinier and others bigger and bigger has been driving innovations in electronics for a long time. The former can be seen in the progression from laptops to smartphones to smart watches to hearables and other “invisible” electronics. The latter defines today’s commercial data centers—megawatt-devouring monsters that fill purpose-built warehouses around the world. Interestingly, the same technology is limiting progress in both arenas, though for different reasons.

The culprit, we contend, is the printed circuit board. And the solution is to get rid of it.

Our research shows that the printed circuit board could be replaced with the same material that makes up the chips that are attached to it, namely silicon. Such a move would lead to smaller, lighter-weight systems for wearables and other size-constrained gadgets, and also to incredibly powerful high-performance computers that would pack dozens of servers’ worth of computing capability onto a dinner-plate-size wafer of silicon.

D-Wave today announced its next generation “Advantage” quantum computer system. It’ll pack a whopping 5,000 qubits and myriad improvements to processing speed and power. And the Los Alamos National Laboratory in New Mexico will be among the first to have access.

According to a press release from D-Wave, the new Advantage system improves on the previous generation’s 2000Q model – which sports a paltry-by-comparison 2,048 qubits – in nearly every conceivable way:

Designed to speed the development of commercial quantum applications, the Advantage quantum system will power a new hardware and software platform that will accelerate and ease the delivery of quantum computing applications. Reflecting years of customer feedback, the platform captures users’ priorities and business requirements and will deliver significant performance gains and greater solution precision.

A nanoelectrode array that can simultaneously obtain intracellular recordings from thousands of connected mammalian neurons in vitro.

How our brain cells, or neurons, use electrical signals to communicate and coordinate for higher brain function is one of the biggest questions in all of science.

For decades, researchers have used electrodes to listen in on and record these signals. The patch clamp electrode, an electrode in a thin glass tube, revolutionized neurobiology in the 1970’s with its ability to penetrate a neuron and to record quiet but telltale synaptic signals from inside the cell. But this tool lacks the ability to record a neuronal network; it can measure only about 10 cells in parallel.

Continue reading “Nanoelectrodes record thousands of connected mammalian neurons from inside” »

O.o.

Control of spin waves in magnonic crystals is essential for magnon-based computing. Crystals made of ferromagnetic metals offer versatility in band structure design, but strong magnetic damping restricts their transmission efficiency. Yttrium iron garnet (YIG) with ultralow damping is the palpable alternative, yet its small saturation magnetization limits dipolar coupling between discrete units. Here, we experimentally demonstrate low-loss spin-wave manipulation in magnonic crystals of physically separated nanometer-thick YIG stripes. We enhance the transmission of spin waves in allowed minibands by filling the gaps between YIG stripes with CoFeB. Thus-formed magnonic crystals exhibit tunable bandgaps of 50–200 MHz with nearly complete suppression of the spin-wave signal. We also show that Bragg scattering on only two units produces clear frequency gaps in spin-wave transmission spectra. The integration of strong ferromagnets in nanometer-thick YIG-based magnonic crystals provides effective spin-wave manipulation and low-loss propagation, a vital parameter combination for magnonic technologies.

In a new scientific paper, Google researchers claim for the first time to have demonstrated “quantum supremacy,” where a quantum computer outperforms a traditional one.

Theorists attribute the unexpectedly slow thermalization of cold atoms seen in recent experiments to an effect called quantum many-body scarring.

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Researchers still have some way to go before they can assemble enough quantum bits (qubits) to make a practical, large-scale quantum computer. But already the best prototypes, made up of several tens of qubits, are opening our eyes to new behavior in the quantum realm. Last year, a team from Harvard University and the Massachusetts Institute of Technology (MIT) unveiled a quantum “simulator” made up of a row of 51 interacting atoms [1]. Exciting the individual atoms in various patterns (Fig. 1), they discovered something unexpected: atoms in certain patterns took at least 10 times longer to relax towards thermal equilibrium than atoms in other patterns. Four groups of theorists have tried to make sense of this observation [2–6], in all cases attributing the slow thermalization to a never-before-seen effect called quantum many-body scarring.

Researchers at Purdue University have announced a breakthrough that could have a significant impact on batteries of the future. The team says that the runtime for the battery in a phone or computer depends on how many lithium-ions can be stored in the negative electrode material inside the battery. When those ions are depleted, the battery is unable to deliver an electrical current.

Big Blue is open for business.

How long the battery of your phone or computer lasts depends on how many lithium ions can be stored in the battery’s negative electrode material. If the battery runs out of these ions, it can’t generate an electrical current to run a device and ultimately fails.

Materials with a higher lithium ion storage capacity are either too heavy or the wrong shape to replace graphite, the electrode material currently used in today’s batteries.

Purdue University scientists and engineers have introduced a potential way that these materials could be restructured into a new electrode design that would allow them to increase a battery’s lifespan, make it more stable and shorten its charging time.