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Innovative New Algorithms Advance the Computing Power of Early-Stage Quantum Computers

A group of scientists at the U.S. Department of Energy’s Ames Laboratory has developed computational quantum algorithms that are capable of efficient and highly accurate simulations of static and dynamic properties of quantum systems. The algorithms are valuable tools to gain greater insight into the physics and chemistry of complex materials, and they are specifically designed to work on existing and near-future quantum computers.

Scientist Yong-Xin Yao and his research partners at Ames Lab use the power of advanced computers to speed discovery in condensed matter physics, modeling incredibly complex quantum mechanics and how they change over ultra-fast timescales. Current high performance computers can model the properties of very simple, small quantum systems, but larger or more complex systems rapidly expand the number of calculations a computer must perform to arrive at an accurate model, slowing the pace not only of computation, but also discovery.

“This is a real challenge given the current early-stage of existing quantum computing capabilities,” said Yao, “but it is also a very promising opportunity, since these calculations overwhelm classical computer systems, or take far too long to provide timely answers.”

Shrinking qubits for quantum computing with atom-thin materials

For quantum computers to surpass their classical counterparts in speed and capacity, their qubits—which are superconducting circuits that can exist in an infinite combination of binary states—need to be on the same wavelength. Achieving this, however, has come at the cost of size. Whereas the transistors used in classical computers have been shrunk down to nanometer scales, superconducting qubits these days are still measured in millimeters—one millimeter is one million nanometers.

Combine qubits together into larger and larger circuit chips, and you end up with, relatively speaking, a big physical footprint, which means quantum computers take up a lot of physical space. These are not yet devices we can carry in our backpacks or wear on our wrists.

To shrink qubits down while maintaining their performance, the field needs a new way to build the capacitors that store the energy that “powers” the qubits. In collaboration with Raytheon BBN Technologies, Wang Fong-Jen Professor James Hone’s lab at Columbia Engineering recently demonstrated a superconducting qubit built with 2D materials that’s a fraction of previous sizes.

Physicists discover ‘secret sauce’ behind exotic properties of new quantum material

MIT physicists and colleagues have discovered the “secret sauce” behind some of the exotic properties of a new quantum material that has transfixed physicists due to those properties, which include superconductivity. Although theorists had predicted the reason for the unusual properties of the material, known as a kagome metal, this is the first time that the phenomenon behind those properties has been observed in the laboratory.

“The hope is that our new understanding of the electronic structure of a metal will help us build a rich platform for discovering other ,” says Riccardo Comin, the Class of 1947 Career Development Assistant Professor of Physics at MIT, whose group led the study. That, in turn, could lead to a new class of superconductors, new approaches to quantum computing, and other quantum technologies.

The work is reported in the January 13, 2022 online issue of the journal Nature Physics.

Satellite Communication Networks

My Chapter Titled ‘’, has been published in ‘Handbook of Real-Time Computing’ in Springer Nature. The chapter provides information on satellite communication networks for different orbits, use-cases, scenarios, link budget analyses, history, and future developments.


Software-defined radio (SDR) is one of many new technologies being adopted by satellite communication to lower the costs both operational and capital by reducing the amount of radio equipment involved in the communication chain and by giving the advantage of remote configuration and regular firmware updates. SDR basically replaces most of the radio equipment by a single computing device with software capable of performing functions of the replaced hardware equipment. SDRs are introduced not only in terrestrial gateways and ground stations, but next generations of LEO and GEO satellites are already adopting the technology. Previously, satellite radio links were limited to the configuration of radio equipment that was installed during the manufacturing of the satellite, which couldn’t be modified throughout the lifespan of the satellite.

Figure 15 displays a generic digital communication transmit and receive RF chain at the physical layer for binary, sampled, and analogue data streams. Data in binary that is collected from data source at transmit end is coming from the higher layers, which is then coded in binary, modulated to sampled, converted to analogue waveform through digital to analogue converter before sending it to the antenna end for transmission over-the-air interface with required transmit power. At the receive end, the wireless signal is received as analogue, converted to sampled for demodulation, decoded to binary, and sent to data sink for integrating with upper layers. The coding/decoding and modulation/demodulation, commonly referred to as MOD/COD, are programmable functions and can be replaced by SDR using a processing device. This can be done at the ground stations, at the gateway, user terminals, and at the satellite using on-board processing.

Chipmakers are set to be ‘winners’ as the metaverse takes off

The metaverse, which requires a massive amount of computing power, is set to benefit global chipmakers— but other tech-related industries could also gain from it, analysts say.

Widely seen as the next generation of the internet, the metaverse refers broadly to a virtual world where humans interact through three-dimensional avatars that can be controlled via virtual reality headsets like Oculus.

Through the metaverse, users can engage in virtual activities such as gaming, virtual concerts or live sports.

A treasure map for the realm of electrocatalysts

Efficient electrocatalysts, which are needed for the production of green hydrogen, for example, are hidden in materials composed of five or more elements. A team from Ruhr-Universität Bochum (RUB) and the University of Copenhagen has developed an efficient method for identifying promising candidates in the myriad of possible materials. To this end, the researchers combined experiments and simulation.

They published their report in the journal Advanced Energy Materials (“Unravelling Composition–Activity–Stability Trends in High Entropy Alloy Electrocatalysts by Using a Data-Guided Combinatorial Synthesis Strategy and Computational Modeling”).

A view of the sputtering machine used to produce the material library counters. (Image: Christian Nielinger)

TSMC invests in new capacity despite forecasts chip demand will ease

Last year, Germany spent $53 billion on defense. This year, TSMC is spending $44 billion on chip factories. (In 2019, TSMC only spent $14.9 billion, so they are spending insane amounts of money trying to fix the chip shortage.) Pretty much everyone in the chip business is also dramatically increasing their spending as well.


TSMC investment will “put a ceiling” on Samsung, Intel’s foundry plans.

A massive asteroid will zip past Earth next week. Here’s how to spot it

An enormous asteroid more massive than two Empire State Buildings is heading our way, but unlike the so-called planet-killer comet in the recent movie “Don’t Look Up,” this space rock will zoom harmlessly past Earth.

The stony asteroid, known as (7482) 1994 PC1, will pass at its closest on Jan. 18 at 4:51 p.m. EST (2151 GMT), traveling at 43,754 mph (70,415 km/h) and hurtling past Earth at a distance of 0.01324 astronomical units — 1.2 million miles (nearly 2 million kilometers), according to NASA JPL-Caltech’s Solar System Dynamics (SSD).

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