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Researchers led by City College of New York physicist Pouyan Ghaemi report the development of a quantum algorithm with the potential to study a class of many-electron quantums system using quantum computers. Their paper, entitled “Creating and Manipulating a Laughlin-Type ν=1/3 Fractional Quantum Hall State on a Quantum Computer with Linear Depth Circuits,” appears in the December issue of PRX Quantum, a journal of the American Physical Society.

“Quantum physics is the fundamental theory of nature which leads to formation of molecules and the resulting matter around us,” said Ghaemi, assistant professor in CCNY’s Division of Science. “It is already known that when we have a macroscopic number of quantum particles, such as electrons in the metal, which interact with each other, novel phenomena such as superconductivity emerge.”

However, until now, according to Ghaemi, tools to study systems with large numbers of interacting quantum particles and their novel properties have been extremely limited.

The quiet shift in strategy, which brings the Vision Fund’s approach closer to that of a traditional venture capital investor, may ease concerns over big, bold bets going sour, a factor that has left a major gap between SoftBank’s market capitalization and the sum of its investments.


TOKYO — SoftBank Group’s Vision Fund is turning to a new strategy as a global pandemic and government stimulus distort tech valuations: Invest smaller in hopes for bigger returns.

After raising nearly $100 billion and investing $85 billion in high-profile companies like Uber Technologies, WeWork and ByteDance over three years, the Vision Fund is now focusing on making smaller bets in early-stage startups.

Among the investments it has led are $100 million in Zhangmen, a Chinese online education startup; $150 million in Unacademy, an Indian peer; and $100 million in Biofourmis, a U.S. startup that tracks health data using wearable devices. In total, it has approved 19 investments worth $3.5 billion for “Vision Fund 2” — a vehicle currently funded entirely by SoftBank.

Over the next few months, medical delivery drones will take flight in the Netherlands between two hospitals to deliver emergency medicines, blood, and other time-sensitive samples. The drones will be flying between the Isala Diaconessenhuis Meppel hospital and the Isala Ziekenhuis hospital.

The drones are at the center of tests, looking at how they can deliver emergency medicine in the future and improve patient care. This also marks the first time drones have flown beyond visual line of sight (BVLOS) in overpopulated areas.

The tests are being run by the Medical Drone Service, an initiative set up by ANWB, PostNL, Erasmus MC, Isala, Sanquin, Certe, and technology partners Avy and KPN.

The need to pursue racial justice is more urgent than ever, especially in the technology industry. The far-reaching scope and power of machine learning (ML) and artificial intelligence (AI) means that any gender and racial bias at the source is multiplied to the n th power in businesses and out in the world. The impact those technology biases have on society as a whole can’t be underestimated.

When decision-makers in tech companies simply don’t reflect the diversity of the general population, it profoundly affects how AI/ML products are conceived, developed, and implemented. Evolve, presented by VentureBeat on December 8th, is a 90-minute event exploring bias, racism, and the lack of diversity across AI product development and management, and why these issues can’t be ignored.

“A lot has been happening in 2020, from working remotely to the Black Lives Matter movement, and that has made everybody realize that diversity, equity, and inclusion is much more important than ever,” says Huma Abidi, senior director of AI software products and engineering at Intel – and one of the speakers at Evolve. “Organizations are engaging in discussions around flexible working, social justice, equity, privilege, and the importance of DEI.”

A major technical challenge for any practical, real-world quantum computer comes from the need for a large number of physical qubits to deal with errors that accumulate during computation. Such quantum error correction is resource-intensive and computationally time-consuming. But researchers have found an effective software method that enables significant compression of quantum circuits, relaxing the demands placed on hardware development.

Quantum computers may still be far from a commercial reality, but what is termed ‘quantum advantage’—the ability of a quantum to compute hundreds or thousands of times faster than a classical computer-has indeed been achieved on what are called Noisy Intermediate-Scale Quantum (NISQ) devices in early proof-of-principle experiments.

Unfortunately, NISQ devices are still prone to lots of errors that accumulate during their operation. For there to be any real-world application of quantum advantage, the design of a fully operational large-scale quantum computer with high error tolerance is required. Currently, NISQ devices can be engineered with approximately 100 qubits, but fault-tolerant computers would need millions of physical qubits at the very least to encode the logical information with sufficiently low error rates. A fault-tolerant implementation of quantum computational not only makes the quantum computer larger, but also the runtime longer by orders of magnitude. An extended runtime itself in turn means the computation is even more susceptible to errors.

Solar power stations in space that beam ‘emission-free electricity’ down to Earth could soon be a reality thanks to a UK government funded project.

Above the Earth there are no clouds and no day or night that could obstruct the sun’s ray – making a space solar station a constant zero carbon power source.