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Illinois may be on the verge of securing the largest technology project in its history—what is being labeled a “$20 billion, 150-acre quantum computing campus,” potentially anchored by Silicon Valley startup PsiQuantum, according to Crain’s Chicago Business. PsiQuantum, hot off an announcement that its receiving $600 million to build a manufacturing site in Australia, is reportedly considering two Chicago-area locations for the project, the business journal reports.

The proposed sites, the former U.S. Steel plant on the South Side and the former Texaco refinery in Lockport, are both under final review, with a decision expected soon. This initiative is part of a broader vision by Governor J.B. Pritzker’s administration, which pundits are referring to a modern-day Manhattan Project, to position Illinois as a leader quantum computing.

Quantum computing leverages the principles of quantum mechanics to process information much faster than classical machines for certain computational problems. Quantum devices could potentially transform everything from cancer research to climate modeling. PsiQuantum aims to use a photonic quantum approach to develop a fault-tolerant quantum computer that could be commercially viable.

Researchers at the University of California San Diego have developed a neural implant that provides information about activity deep inside the brain while sitting on its surface. The implant is made up of a thin, transparent and flexible polymer strip that is packed with a dense array of graphene electrodes. The technology, tested in transgenic mice, brings the researchers a step closer to building a minimally invasive brain-computer interface (BCI) that provides high-resolution data about deep neural activity by using recordings from the brain surface.

The work was published on Jan. 11 in Nature Nanotechnology.

“We are expanding the spatial reach of neural recordings with this technology,” said study senior author Duygu Kuzum, a professor in the Department of Electrical and Computer Engineering at the UC San Diego Jacobs School of Engineering. “Even though our implant resides on the brain’s surface, its design goes beyond the limits of physical sensing in that it can infer neural activity from deeper layers.”

Ampere Computing’s new AmpereOne-2 CPU will feature up to 192 cores, while AmpereOne-3 features 256 cores, PCIe 6.0 support, and more.

The original version of this story appeared in Quanta Magazine.

In October, a Falcon Heavy rocket is scheduled to launch from Cape Canaveral in Florida, carrying NASA’s Europa Clipper mission. The $5 billion mission is designed to find out if Europa, Jupiter’s fourth-largest moon, can support life. But because Europa is constantly bombarded by intense radiation created by Jupiter’s magnetic field, the Clipper spacecraft can’t orbit the moon itself. Instead, it will slide into an eccentric orbit around Jupiter and gather data by repeatedly swinging by Europa—53 times in total—before retreating from the worst of the radiation. Every time the spacecraft rounds Jupiter, its path will be slightly different, ensuring that it can take pictures and gather data from Europa’s poles to its equator.

To plan convoluted tours like this one, trajectory planners use computer models that meticulously calculate the trajectory one step at a time. The planning takes hundreds of mission requirements into account, and it’s bolstered by decades of mathematical research into orbits and how to join them into complicated tours. Mathematicians are now developing tools which they hope can be used to create a more systematic understanding of how orbits relate to one another.

A year after all but ruling out the possibility, a pair of theoretical physicists from Japan and the Netherlands have found quantum entanglement has something fundamentally in common with the physics that drives steam engines, dries your socks, and may even keep the arrow of time pointed in one direction.

This universal property, if indeed it exists as they suggest, would govern all transformations between entangled systems and give physicists a way to measure and compare entanglement beyond counting qubits – and know their limits of manipulating entangled pairs.

Quantum entanglement, the tendency for the quantum fuzziness of different objects to mathematically merge, is a fundamental part of quantum computing along with superposition. When particles, atoms, or molecules are entangled, knowing something about one tells us something of the other.

Researchers from the University of Basel and the NCCR SPIN have achieved the first controllable interaction between two hole spin qubits in a conventional silicon transistor. The breakthrough, reported in Nature Physics (“Anisotropic exchange interaction of two-hole spin qubits”), opens up the possibility of integrating millions of these qubits on a single chip using mature manufacturing processes.

Two interacting hole-spin qubits: As a hole (magenta/yellow) tunnels from one site to the other, its spin rotates due to spin-orbit coupling, leading to anisotropic interactions represented by the surrounding bubbles. (Image: NCCR SPIN)

The race to build a practical quantum computer is well underway. Researchers around the world are working on a huge variety of qubit technologies. So far, there is no consensus on what type of qubit is most suitable for maximizing the potential of quantum information science.

Scaling up quantum systems is essential for advancing quantum computing, as their benefits become more apparent with larger systems. Researchers at TU Darmstadt have made significant progress in achieving this goal. The results of their research have now been published in the prestigious journal Optica.

Quantum processors based on two-dimensional arrays of optical tweezers, which are created using focussed laser beams, are one of the most promising technologies for developing quantum computing and simulation that will enable highly beneficial applications in the future. A diverse range of applications from drug development through to optimizing traffic flows will benefit from this technology.

A new type of memory has been demonstrated running at an astounding 600C for over 60 hours. Non-volatile ferroelectric diode (ferrodiode) memory devices can offer outstanding heat resistance and other properties that should enable cutting-edge data and extreme environment computing, claim researchers from the University of Pennsylvania in a Nature Electronics article, A scalable ferroelectronic non-volatile memory operating at 600°C.

Ferrodiode memory devices use a 45-nanometer thin layer of a synthesized AIScN (l0.68Sc0.32N) because of its ability to retain electrical states “after an external electric field is removed,” among “other desirable properties.” Ferrodiode memory has been tested running at 600 degrees Celsius for more than 60 hours while operating at less than 15 volts.

MIT researchers have developed a computational approach that makes it easier to predict mutations that will lead to optimized proteins, based on a relatively small amount of data. Credit: MIT News; iStock.

MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.

To engineer proteins with useful functions, researchers usually begin with a natural protein that has a desirable function, such as emitting fluorescent light, and put it through many rounds of random mutation that eventually generate an optimized version of the protein.