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The research team lead by professor Pan Jian-Wei has upgraded their photonic quantum computer, demonstrating in a new published study phase-programmable Gaussian boson sampling (GBS) which produces up to 113 photon detection events out of a 144-mode photonic circuit. According to the researchers, the Jiuzhang 2.0 Photonic Quantum Computer (九章二号) is 10 billion times faster than its earlier version. The study “Phase-Programmable Gaussian Boson Sampling Using Stimulated Squeezed Light” was published in the journal Physical Review.

Credit: China Media Group(CMG)/China Central Television (CCTV)

Over 3,500 WiFi networks in Tel Aviv have been cracked by Israeli researchers.

Multiple vulnerabilities have been disclosed in Hitachi Vantara’s Pentaho Business Analytics software.

Hackers can exploit newly discovered techniques to hide vulnerabilities in source code.

Cybersecurity researchers disclosed details of what they say is the “largest botnet” observed in the wild in the last six years.

Durable and affordable fingers and skin could help virtual agents understand their world.

But in recent years the government has signaled its intent to open up the sector to private players and last year passed a series of reforms designed to foster innovation and encourage new start ups. Earlier this month Prime Minister Narendra Modi also launched the Indian Space Association, an industry body designed to foster collaboration between public and private players.

One of the companies that has been quick to pounce on these new opportunities is Agnikul, which is being incubated at the Indian Institute of Technology Madras in Chennai. This February, the company successfully test fired its 3D-printed Agnilet rocket engine, just four years after its founding.

While other private space companies like Relativity Space and Rocket Lab also use 3D printing to build their rockets, Agnikul is the first to print an entire rocket engine as a single piece. IEEE Spectrum spoke to co-founder and chief operating officer Moin SPM to find out why the company thinks this gives them an edge in the burgeoning “launch on-demand” market for small satellites. The conversation has been edited for length and clarity.

A team of physicists has discovered how DNA molecules self-organize into adhesive patches between particles in response to assembly instructions. Its findings offer a “proof of concept” for an innovative way to produce materials with a well-defined connectivity between the particles.

The work is reported in Proceedings of the National Academy of Sciences.

“We show that one can program particles to make tailored structures with customized properties,” explains Jasna Brujic, a professor in New York University’s Department of Physics and one of the researchers. “While cranes, drills, and hammers must be controlled by humans in constructing buildings, this work reveals how one can use physics to make smart materials that ‘know’ how to assemble themselves.”

The device you are currently reading this article on was born from the silicon revolution. To build modern electrical circuits, researchers control silicon’s current-conducting capabilities via doping, which is a process that introduces either negatively charged electrons or positively charged “holes” where electrons used to be. This allows the flow of electricity to be controlled and for silicon involves injecting other atomic elements that can adjust electrons—known as dopants—into its three-dimensional (3D) atomic lattice.

Silicon’s 3D lattice, however, is too big for next-generation electronics, which include ultra-thin transistors, new devices for optical communication, and flexible bio-sensors that can be worn or implanted in the human body. To slim things down, researchers are experimenting with materials no thicker than a single sheet of atoms, such as graphene. But the tried-and-true method for doping 3D silicon doesn’t work with 2D graphene, which consists of a single layer of carbon atoms that doesn’t normally conduct a current.

Rather than injecting dopants, researchers have tried layering on a “charge-transfer layer” intended to add or pull away electrons from the graphene. However, previous methods used “dirty” materials in their charge-transfer layers; impurities in these would leave the graphene unevenly doped and impede its ability to conduct electricity.