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'This computer works almost like a guitar': Fingernail-sized quantum chip uses vibrations to store data

  • ETH Zurich quantum chip sees superconducting qubit act as CPU and the vibrational modes of a fingernail-width acoustic resonator serve as quantum RAM
  • The approach borrows from classical computer architecture as it completely flips the script on how modern quantum computing might store short-term data
  • The team demonstrated a universal gate set and ran small instances of the quantum Fourier transform and period finding

A guitar string essentially stores a note based on how it vibrates, and if one plucks it differently, an entirely different note plays.

A team of researchers at ETH Zurich has leveraged the same principle to build a quantum chip that stores information by replacing the string with microscopic acoustic resonators.

This allows the chip to increase its working memory significantly, essentially increasing the storage capacity, a prohibitively expensive commodity in quantum computing, significantly.

A vibrations-based quantum storage play

ETH Zurich's research is led by quantum physicist Yiwen Chu, who used tiny mechanical vibrations to both store and process information. The vibrations, however, go far beyond the range of human hearing, happening inside a quantum chip where they essentially replace or complement the working memory of a quantum computer.

The study, published by the Hybrid Quantum Systems group, lists Professor Yiwen Chu, along with doctoral students Yu Yang and Igor Kladarić, as lead authors and focuses on replicating the division of labor seen in a classical computer.

A superconducting transmon qubit serves as the CPU, while the working memory (the quantum equivalent of RAM) is a high-overtone bulk acoustic wave resonator, or HBAR, whose many vibrational modes each serve as a memory slot.

The Qubit essentially swaps a quantum state from a vibrational mode (reads it, in classical computer terms), manipulates it (modifies it), and swaps it back (writes it). This makes for a unique configuration that most modern quantum computers do not follow, in which processing and storage are two distinct segments; most designs treat both memory and compute similarly.

The approach has advantages, however: acoustic waves have wavelengths roughly a hundred thousand times shorter than electromagnetic ones, allowing an entire quantum chip to be extremely small, as the research team states, even if the actual computer will be many orders of magnitude larger.

The chip has passed stress tests, including a proof of feasibility, which also included testing using two of the most commonly used methods to benchmark a quantum computer: the quantum Fourier transform and a period-finding algorithm.

The endgame here, as noted by the research team, is quantum random-access memory (QRAM), which would allow modern quantum computers to access a much larger store of quantum memory than current specifications allow. Whether this pans out depends on both the scalability of the approach and the computational power in play.

Cheaper than an iPhone: Price of record-breaking Ukraine AI FPV drone slashed to $500 as range increases sixfold to 68 miles

  • Vyriy 15 FPV with The Fourth Law's TFL-1 AI guidance reportedly struck Russian logistics 68 miles (110 KM) away
  • Ever-innovating Ukrainian drone industry continues to achieve economies of scale even as it becomes a growing threat to Russian advances
  • With a payload capacity of 8kg and the ability to be equipped with a thermal imaging module as well as electronic warfare deterrence, it offers an interesting alternative to comparable fixed-wing drones that cost thousands of dollars

Basic FPV drones are hardly a new thing in a market flooded with hundreds, if not thousands of options that can cost as little as $100 to 200, but the Russia-Ukraine conflict might have upped the ante on affordability for a different kind of UAV that leverages the same tech: attack drones.

The Vyriy 15 is a self-styled "kamikaze drone" by the company that offers a stated strike range of 40-70km with up to a 8kg payload in tow which can be retrofitted with a thermal imaging module as well as an extended band VTX module to make jamming it harder.

With a control range of up to 30KM and a flight duration of 20 minutes (with a payload) and a cruising speed of 60-100 km/h, its not the most technologically advanced drone out there, but at its purported price tag of $500, it doesn't need to be.

An FPV strike record backed by AI

On the 10th of July, Yaroslav Azhnyuk, the CEO of Ukrainian autonomy developer The Fourth Law, announced on X what he called "a new FPV strike record": a Vyriy 15 quadcopter, flown by Ukraine's 5th Border Guard Detachment and fitted with his company's AI terminal-guidance module, had flown 110 km (68 miles) to strike a Russian logistics target.

This is both a significant achievement for Ukraine's domestic drone industry and a key indicator of how fast the Russia-Ukraine war has turned into one of attrition, with supply lines becoming increasingly targeted to prevent significant advances in either direction.

It also showcases how AI on the battlefield is shaping the conflict: the Vyriy 15 is, by default, a manually controlled drone that would otherwise need an operator or a relay to be closer to the theater of war.

The competition is American-made Hornets, fixed-wing drones that can cost upwards of $5,000, a 10-fold increase in cost for an already cash-strapped Ukrainian military that is increasingly looking towards localized solutions.

The optional AI module used to set the record is The Fourth Law's TFL-1, a machine-vision terminal-guidance module that operates on a fire-and-forget principle: once the operator visually designates a target, an onboard computer takes over the final approach, essentially countering Russian jammers that would otherwise disrupt a video link.

If Ukraine manages to mainstream such warfare in the future while cutting costs down to a tenth of what they do right now, reliably striking as deep as 100km into enemy territory while proving difficult to jam or costly to intercept, drones like the Vyriy 15 could signal an evolution in the modern battlefield even as aggression with low-cost drone swarms is already being rewarded in other conflicts such as the US-Iran war.

This sleek Japanese power strip finally fixes your office desk's ugliest pain point

  • Kokuyo Energy Line replaces discrete sockets with one continuous slot that takes up to five two-prong plugs anywhere along its length
  • It won a 2025 Good Design Award thanks to its accessibility, style, and attention to detail
  • The Kokuyo Energy Line also offers an inclusive design that allows users with upper limb disabilities to easily use the product with just 1 hand

Kokuyo is a well-known Japanese furniture giant that focuses on both functionality and aesthetics across its furniture and interior design lines.

It regularly collects Good Design Awards even as it runs a public "live office" where users can test out hardware in a workplace setting, in addition to HOWS DESIGN, an inclusive-design program that has birthed multiple successes.

The Kokuyo Energy Line power strip is one such offering: it comes with a Good Design Award (2025) and is influenced by the HOWS DESIGN program.

A power strip that blends focus on design, functionality

Modern work desks are a far cry from their older, mundane alternatives at the workplace or at home, offering a degree of customizability that few could have foreseen.

Amid all the upgrades one sees in monitor arms, cable management, electric desks, and even headphone stands, one thing often remains an aesthetic (and often functional) outlier: the modern power strip.

The Kokuyo Energy Line aims to fix this by offering a single continuous power socket that can house up to 5 appliances, with a plug-anywhere design and wiring concealed under the table via a minimalist clamp.

The Kokuyo Energy Line clamped to a table

The Kokuyo Energy Line clamped to a table (Image credit: Kokuyo)

It also leverages an inclusive design that allows users with limb disabilities to use it easily with one hand, as demonstrated during the company's inclusive design workshop at its "HOWS PARK" diversity office.

The Kokuyo Energy Line clocks in at about 7,000 Yen (~$50) and comes in both black and white colors to suit different themes. It aims to eliminate cable clutter on one's desk with a one-size-fits-all approach.

Despite the advances made, the Kokuyo Energy Line also comes with its limitations: the design means it does not accommodate heavy-duty appliances, with a 5-device limit and a 1500W power ceiling, which may leave users who use high-end computers or multi-monitor setups looking for something different.

Unlike competing power strips, it also lacks a surge protector or grounding support, which limits its use to electronics that use a 2-prong cable.

With no support for 230V power cables or sockets and no plans currently to incorporate them, the Kokuyo Energy Line is an impressive but geographically limited power strip offering that suits the company's target audience looking for an aesthetic upgrade, albeit with serious limitations that could see it not be in play for more demanding consumers in terms of sockets and/or power.

Samsung has a 16TB PCIe 6.0 SSD coming soon with read/write speeds of 28.4GBps and 21.9GBps respectively β€” but you won't be able to use it anyway

  • Samsung's PM1763 entered mass production as the fastest SSD on paper, focusing solely on AI data centers as its key market
  • The PM1763 offers read and write speeds of 28.4GB/s and 21.9GB/s respectively, essentially twice that of its predecessor, the PM1753
  • The drive can't physically be used in consumer-grade PCs, adhering to an EDSFF-only form factor while also requiring PCI-E 6.0 channels, something that has yet to be available to end-users

Samsung has announced it is now mass-producing the PM1763 SSD, which aims to replace the PM1753 as its highest-end enterprise-class SSD for AI customers.

The PM1763 offers read speeds of 28,400 MB/s and write speeds of 21,900 MB/s, leveraging PCIe 6.0 connections.

It uses the company's 9th-generation V-NAND, along with a 4nm controller, to deliver these speeds even as PCI-E 6.0 offers double the per-lane bandwidth available to users.

A very fast SSD that narrowly beats the competition where it matters

Samsung's offering is, at the time of writing, without doubt, the fastest SSD available to enterprise clients on paper, but it does have a few caveats.

The company claims the PM1763 offers "industry-leading performance", and that is definitely true in both the read and write departments, especially the latter, but it barely ekes out a win in the former over the Micron 9650.

The Micron 9650 offers read speeds of 28,000 MB/s and much slower write speeds of 14,000 MB/s sequentially, also leveraging PCI-E 6.0 to deliver such performance.

Samsung's SSD is decisively faster on another metric that is key for AI customers, however: it offers 6.92 MIOPS in sequential read speed versus Micron's 5.5 MIOPS.

Micron's offering, however, has already been in mass production since February 2026 and is expected to enjoy greater availability for the rest of the year than Samsung's enterprise flagship.

Samsung's offering also incorporates other gains: it delivers power efficiency that the semiconductor giant says is 1.8x better than the PM1753 and supports both post-quantum cryptography (PQC) algorithms and the TEE Device Interface Security Protocol (TDISP).

It must be noted that both Micron and Samsung's offerings are only part of the puzzle, as enterprise consumers are currently gearing up for the next generation of server hardware. Both Nvidia's Vera platform and AMD's EPYC "Venice" offer PCI-E 6.0 connectivity that these drives need to run at maximum speeds.

One would expect similar gains soon in the consumer market, where Samsung's Gen 5-based 9100 Pro is one of the few that currently rule the roost with advertised read and write speeds of 14,800 MB/s and 13,400 MB/s, respectively, but that might be wishful thinking at best.

The gains from the PM1763 are not expected to trickle down to consumers for a multitude of reasons. Primarily, PCI-E 6.0-supporting hardware does not currently exist at the consumer end, even as datacenters begin to adopt it.

The bleeding-edge storage on offer is also expected to be prohibitively expensive, pitting consumers against datacenter clients with seemingly limitless pockets for now, and industry figures such as Phison's CEO are already warning that AI demand will keep NAND and DRAM in shortage through 2026; consumer storage is increasingly built from what the data centers do not take.

The PM1763, therefore, at least from an end-user's perspective, might as well be a proof-of-concept SSD; it is unlikely to make its way onto their desktop anytime soon, and they are unlikely to be able to afford it unless they want to host a data-center-class server at home.

The Gen 6 storage era has arrived, attached to hardware you cannot buy, in a shape you cannot mount, on an interface you do not have, built from NAND that was never going to reach you anyway. Sadly for enthusiasts looking for a faster SSD: The speeds are real. So is the velvet rope.

'We have not ruled this out': The water-based battery that could turn whole data centers into energy storage

  • QinetiQ testing of SuperDielectrics' water-based zinc cells showed up to 13x longer high-power cycle life, 100C discharge in 36 seconds, and zero thermal runaway
  • The company is pitching its solution to AI datacenters as a 'shock absorber' that can deal with power requirement spikes safely and reliably
  • SuperDielectrics' Faraday 3's first commercial deployment is slated for early 2027 as it goes up against existing Lithium-ion battery-based energy storage as an alternative that can be deployed inside the data center

Cambridge-based advanced battery technology company SuperDielectrics recently published independent test results for its upcoming water-based Zinc battery, which could help cement its de facto presence in most projects that leverage renewable energy, whose output is often inconsistent.

The next-generation battery offers up to 13 times longer life cycle under high-power cycling, zero thermal runway, and charging and discharging gains that eclipse those of Lithium-ion-based batteries.

This makes it a great add-on for critical infrastructure, as well as for a new, fast-growing sector that is extremely power-intensive with huge power spikes in tow: AI data centers.

A solution that caters specifically to the AI power problem?

SuperDielectrics is painting its battery technology as the holy grail for AI data center problems, and with good reason: it is where all infrastructure spending will be concentrated over the next decade, and the firm decidedly wants a piece.

SuperDielectrics’ core innovation is a unique, patented polymer that enables it to deliver results that dwarf those of similarly configured single-layer lithium-ion cells. With the battery leveraging Zinc in addition to the proprietary polymer, the abundantly available metal could mean that batteries would be cheaper, immune to geopolitical and supply chain vulnerabilities, and easier to scale.

Room temperature testing of the battery showed impressive results when compared to lithium-ion-based alternatives, with SuperDielectrics claiming:

- Up to 13x longer cycle life under high-power cycling (10 mins charge and discharge, 100% depth of discharge);

- 10x better discharge performance (maintained >85% nominal capacity, achieved at 36 seconds)

- 8x better charging performance (maintained >70% nominal capacity, achieved at 1 minute, 12 seconds)

β€œThese results provide independent benchmarking of the technology at the heart of our batteries: a proprietary polymer separator that combines rapid ion transport with the safety advantages of an aqueous electrolyte system," noted Shelley Brown, CTO of SuperDielectrics.

"The outcome is an energy storage solution purpose-built for high-power, fast-cycling applications, offering an alternative to lithium-ion systems that typically rely on extensive oversizing and additional safety infrastructure to manage demanding power profiles."

There is more to the story that makes the solution ideal: Unlike lithium-ion-based solutions, the battery is safe to deploy in datacenters, whereas off-site deployments are currently required for lithium-ion-based solutions due to their potential as a fire hazard.

AI datacenters are known to be particularly power-intensive and often require significantly higher peak power when performing certain computing tasks. Lithium-ion batteries are not ideal for this because not only do frequent charging and discharging degrade them fairly quickly, but they also do not charge or discharge as fast as the Zinc-based offering from SuperDielectrics.

As a result, as noted by the CTO of SuperDielectrics, data centers need to overcompensate for this limitation by buying more capacity than needed to allow smooth operations without pushing existing lithium-ion-based infrastructure too hard.

There is a trade-off, however: Zinc batteries generally sacrifice energy density to offer advantages over lithium, and SuperDielectrics' silence on capacity does not work in its favor here.

Despite this, thanks to AI compute requirements' near-violent power swings requiring a moderator, SuperDielectrics seems to have a winner on its hands, at least on paper, but it might have its limits for datacenters that require longer backup times. The question that comes to mind is whether a smoothing layer can grow into genuine storage, especially for rack-scale product deployment.

On the flip side of the equation, SuperDielectrics is not the only one toying with a 'safe' battery solution; Chinese researchers are concentrating on a similar approach even as the automobile industry is already using sodium for EVs, which is already racking up wins in extreme low-temperature conditions.

Like photosynthesis in plants: This CPU uses solar power to 'run computations' without the need for batteries

  • Penn State researchers built a monolithic 3D chip that runs entirely off ambient light without leveraging a battery
  • The chip stacks silicon photovoltaics, MoSβ‚‚/WSeβ‚‚ complementary logic, and graphene chemical sensors within ~50 nm of each other
  • The development also opens the door for larger 2D circuits that incorporate some of the same design philosophy in the future

Research at Penn State university has come up with an interesting breakthrough in engineering, building out a compact integrated circuit that runs entirely off solar power.

The IC, which skips batteries altogether aims to run calculations and be able to sense chemicals in its vicinity by harvesting solar power available to it aims to do so by stacking everything monolithically versus splitting things up across different dies.

The move comes as engineers continue to grapple with the need for long-lasting and versatile IoT and edge computing systems, many of which are deployed in remote or hard to access locations, making changing batteries a hard, if not impossible proposition at times.

A vertically-stacked solution that centers around solar

Battery-free electronics that rely on renewable power are in greater focus as engineers, stakeholders, and consumers seek such devices to meet growing market demand.

What makes the research team at Penn State's development so unique is that it has attempted to address what conventional electronics have failed to do so far: cutting losses by investing in a structure that effectively skips a significant part of the board area requirements, wiring losses in terms of power and latency that are in play for such devices.

The chip does so by leveraging two types of semiconducting materials (MoSβ‚‚ and WSeβ‚‚), a silicon photovoltaic module, and graphene-based sensors, and stacking all three layers vertically.

The graphene-based sensors at the top respond to liquids placed on them, sending electrical signals that are processed in the middle logic layer, where the semiconductor layer lies, while the silicon photovoltaic module at the bottom generates power by converting ambient light into electricity.

"We showed that heterogeneous materialsβ€”silicon, graphene, MoS2 and WSe2β€”can be integrated monolithically in three dimensions to create a self-powered sensing and computing system. This is different from simply placing separate chips next to each other or connecting them externally. We show that sensing, computation, and energy harvesting can be brought into nanoscale proximity, which can reduce footprint, interconnect length, and energy loss," said Saptarshi Das, one of the authors of the paper documenting this approach.

While the move itself documents a small purpose-built chip, it has interesting ramifications for the future, where larger circuits could use the design as a building block for IoT needs, especially in remote settings where batteries might be difficult to replace even as efficiency takes center stage for lower-powered, nanoscale circuits.

Like Google’s Project Loon, but for missiles: Ukraine is weaponizing stratospheric balloons to boost strike range

  • Kyiv has floated more than 1,000 cheap balloons into Russia as decoys, relays, and now even launch platforms, with a balloon-dropped Hornet drone reportedly doubling its strike range to around 300 km
  • The DART missile drops from balloons at 12–18 km and deliberately kills its own navigation in the terminal phase, leaving Russian jammers nothing to attack
  • Prevailing west-to-east winds hand Ukraine a near-monopoly on the tactic, even as Russia trials its Barrazh-1 relay balloon as an alternative to Starlink

Google might have written off its Project Loon endeavor, a goal to use stratospheric balloons as flying cell towers due to economic considerations, but they are back in an unexpected setting: a deepening frontline between Ukraine and Russia.

This is largely because Ukraine has cracked the economics with the business model that Alphabet, Google's parent company, could not have: a cheap, easy-to-employ weapons platform that can't be jammed or shot down affordably while building up on its threat to Russian cities far from the frontlines.

The DART is a Ukraine-deployed, balloon-launched missile system developed by the Ukrainian firm Center of Innovative Technologies Program (CITP), which launches projectiles from the lower stratosphere at intended targets.

A smart 'dumb' missile approach by design

While most of the world continues to focus on better smart satellite- or laser-guided missiles (or precision-guided weapons), Ukraine is taking a different approach altogether, and it might be a much smarter play given how it could play out.

The balloon-based DART missile starts off 'smart', relying on satellite guidance to align and aim at a target before cutting off guidance altogether for the last 6km of the journey, relying only on its solid-fuel engine to reach its intended position.

The approach, though slightly crude, renders Russian jammers completely ineffective, unable to pull a DART missile off-target or 'confuse' it in any way. The target seems not to be civilians or combatants but rather to restrict Russia's ability to wage war by targeting infrastructure because of how the missile functions.

DART carries a warhead of roughly 10 kilograms that scatters conductive graphite filaments, a small-scale graphite bomb meant to short out electrical infrastructure. This also means it might not need the level of precision that many other missiles do: power stations and electric grids tend to sprawl, making them much easier targets than alternatives.

The more impressive part might be that the balloons, which often cost as little as $200, can lure out expensive S-300 and S-400 interceptors to respond, depleting far more costly ammunition and batteries on the Russian side.

Ukraine is also a direct beneficiary of geography: winds across the front generally blow west to east, allowing balloons from Ukraine to easily reach Russian territory, while Russian ones have to fight the current, often floating back into their own territory as a result.

While DART remains uncodified by Ukraine's military, it has already been showcased at trade shows, with the Eurosatory defense expo outside Paris in June marking its first major outing. It also has both allies and adversaries taking notice as the Ukrainian conflict continues to offer modern battlefield lessons.

The US Army has been evaluating tethered aerostats for drone detection and communications relay, with an eye toward launching drone swarms from them in the future.

Russians, on the other hand, are investing in a different kind of drone technology: the Barrazh-1, a stratospheric relay balloon carrying a communications payload of roughly 100 kilograms, which it says is entirely domestically built and aims to balance out the lack of Starlink terminals available to the country for data and internet services on the battlefield.

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