As reported by The Register, pro-Putin newspaper Kommersant writes that the percentage of defective imported chips into Russia before the war was just 2%, which isn’t very good considering how many components are found in today’s electronic items. Now, almost eight months after the country invaded Ukraine, it stands at 40%.
Tiny single-celled critters obviously don’t have room for a brain to tell them how to move in complex ways, so to get about, they usually roll, slither or swim.
But microscopic pond dwellers called Euplotes eurystomus have mastered a way to walk brainlessly – scurrying about like insects, with their 14 little appendages.
They appear to move a bit like the Dutch-designed kinetic sculptures called Strandbeasts, with clockwork-like connections cycling them through a pattern of set states that can be adjusted in response to their environment.
Physicists are (temporarily) augmenting reality in order to crack the code of quantum systems.
Calculating the collective behavior of a molecule’s electrons is necessary to predict a material’s properties. Such predictions could one day help scientists create novel drugs or create materials with desirable qualities like superconductivity. The issue is that electrons may become ‘quantum mechanically’ entangled with one another, which means they can no longer be treated individually. For any system with more than a few particles, the entangled network of connections becomes outrageously difficult for even the most powerful computers to unravel directly.
Now, quantum physicists from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland and the Flatiron Institute’s Center for Computational Quantum Physics (CCQ) in New York City have found a workaround. By adding extra “ghost” electrons in their computations that interact with the system’s actual electrons, they were able to simulate entanglement.
The Linux kernel WiFi stack has five serious flaws, according to research, which a hacker might use to execute arbitrary code or inflict a denial of service.
The vulnerability, identified as CVE-2022–42719, was brought on by a use-after-free issue in the multi-BSSID element’s ieee802 11 parse elems full function of net/mac80211/util.c. A remote authenticated adversary might leverage this issue to execute arbitrary code or bring down the system by sending a carefully crafted request. In v5.2-rc1, the CVE-2022–42719 vulnerability was first made public.
The vulnerability, identified as CVE-2022–42720, was produced about by a use-after-free issue in the multi-BSSID part of the bss ref get function in net/wireless/scan.c. A remote authenticated adversary might leverage this issue to execute arbitrary code or bring down the system by sending a carefully crafted request.
The best examples are simple. This is especially true in quantum computing, where complexity can get out of hand pretty fast. A team of researchers at D-Wave, with collaborators from USC, Tokyo Tech, and Saitama Medical University, recently explored a quantum phase transition — a complex subject by anyone’s standards — in a very simple 1D chain of magnetic spins. Our work, published today in Nature Physics, studies quantum critical dynamics in a coherently annealed Ising chain. Here are a few things we learned along the way.
Programmable quantum phase transitions, as ordered
Phase transitions, such as water to ice, are commonly attributed to changes in temperature. But there is another type of phase transition —-a quantum phase transition (QPT) —-where quantum effects determine the properties of a physical system, in the absence of thermal effects. In a 1D chain, spins at the end of the simulation are either “up” or “down”, and we get “kinks” separating blocks of up spins and down spins (during the simulation, spins can be in a superposition of up and down). The density and spacing of kinks depend on, among other things, the speed and “quantumness” of the experiment. In this work we guided the programmable system of spins through a QPT and investigated the effect of varying parameters such as speed, system size, and temperature.
Scientists have demonstrated a powerful technique that will allow quantum computers to store much more information in photons of light. The team managed to encode eight levels of data into photons and read it back easily, representing an exponential leap over previous systems.
Traditional computers store and process information in binary bits, which can hold a value of zero or one. Quantum computers boost this power drastically with their quantum bits, or qubits, which can hold values of zero, one or both at the same time. But an emerging version of qubits, known as qudits, up the game even more. Rather than just two values like qubits, qudits can theoretically contain dozens of different values, greatly increasing the data processing and storage potential. Better yet, qudits are also more resilient against external noise that can disrupt qubits.
But, of course, there’s a catch: it’s hard to measure and read back data stored on qudits. So for the new study, researchers at Oak Ridge National Laboratory, Purdue University and EPFL have developed a technique to produce and read qudits more reliably. In their experiments, they generated qudits that could each hold up to eight levels of information, and quantum-entangled them in pairs to generate a 64-dimensional quantum space. This, the team says, is four times larger than in previous studies.
Quantum science has not only deepened human understanding of the structure of matter and its microscopic interactions, but also introduced a new paradigm of computing and information science—quantum computing and quantum simulation. Quantum informatics research has won the 2022 Nobel Prize in Physics.
Among many quantum computing and simulation platforms, Rydberg Atom Arrays is considered the most promising system to show quantum superiority among many programmable quantum simulator platforms in recent years due to its largest number of qubits and highest experimental accuracy.
Such optical lattices consist of individual neutral alkaline-earth atoms with significant dipole moments trapped in arrays of microscopic dipole traps, which can be optically moved at will to make desired lattice geometry. Each atom can be excited to its Rydberg state, and a pair of excited states interact through their dipole moments via a long-range interaction.
Nvidia’s software restriction to limit Ethereum mining over the RTX 3,000 graphics cards is officially dead because it’s now irrelevant.
On Friday, an Nvidia spokesperson confirmed that the company had removed the “Lite Hash Rate” limiter after users began reporting (Opens in a new window) the absence of the mining restriction in the latest Nvidia drivers releases for Windows and Linux.
“We don’t believe it’s necessary in the current environment,” the Nvidia spokesperson told PCMag without elaborating.
At 200 times stronger than steel, graphene has been hailed as a super material of the future since its discovery in 2004. The ultrathin carbon material is an incredibly strong electrical and thermal conductor, making it a perfect ingredient to enhance semiconductor chips found in many electrical devices.
But while graphene-based research has been fast-tracked, the nanomaterial has hit roadblocks: in particular, manufacturers have not been able to create large, industrially relevant amounts of the material. New research from the laboratory of Nai-Chang Yeh, the Thomas W. Hogan Professor of Physics, is reinvigorating the graphene craze.
In two new studies, the researchers demonstrate that graphene can greatly improve electrical circuits required for wearable and flexible electronics such as smart health patches, bendable smartphones, helmets, large folding display screens, and more.