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Simulating computationally complex many-body problems on a quantum simulator has great potential to deliver insights into physical, chemical and biological systems. Physicists had previously implemented Hamiltonian dynamics but the problem of initiating quantum simulators to a suitable quantum state remains unsolved. In a new report on Science Advances, Meghana Raghunandan and a research team at the institute for theoretical physics, QUEST institute and the Institute for quantum optics in Germany demonstrated a new approach. While the initialization protocol developed in the work was largely independent of the physical realization of the simulation device, the team provided an example of implementing a trapped ion quantum simulator.

Quantum simulation is an emergent technology aimed at solving important open problems relative to high-temperature superconductivity, interacting quantum field theories or many-body localization. A series of experiments have already demonstrated the successful implementation of Hamiltonian dynamics within a quantum simulator—however, the approach can become challenging across quantum phase transitions. In the new strategy, Raghunandan et al. overcame this problem by building on recent advances in the use of dissipative quantum systems to engineer interesting many-body states.

Almost all many-body Hamiltonians of interest remain outside a previously investigated class and therefore require generalization of the dissipative state preparation procedure. The research team therefore presented a previously unexplored paradigm for the dissipative initialization of a quantum simulator by coupling the many-body system performing the quantum simulation to a dissipatively driven auxiliary particle. They chose the energy splitting within the auxiliary particle to become resonant with the many-body excitation gap of the system of interest; described as the difference of the ground-state energy and the energy of the first excited state. During such conditions of resonance, the energy of the quantum simulator could be transferred efficiently to the auxiliary particle for the former to be cooled sympathetically, i.e., particles of one type, cooled particles of another type.

Our current, well-established understanding of phases of matter primarily relates to systems that are at or near thermal equilibrium. However, there is a rich world of systems that are not in a state of equilibrium, which could host new and fascinating phases of matter.

Recently, studies focusing on systems outside of thermal equilibrium have led to the discovery of new phases in periodically driven quantum systems, the most well-known of which is the discrete time crystal (DTC) phase. This unique phase is characterized by collective subharmonic oscillations arising from the interplay between many-body interactions and non-equilibrium driving, which leads to a loss of ergodicity.

Interestingly, subharmonic oscillations are also known to be a characteristic of dynamical systems, such as predator-prey models and parametric resonances. Some researchers have thus been exploring the possibility that these classical systems may exhibit similar features to those observed in the DTC phase.

Over the past decade or so, researchers worldwide have developed increasingly advanced techniques to enable robot navigation in a variety of environments, including on land, in the air, underwater or on particularly rough terrains. To be effective, these techniques should allow robots to move around in their surroundings both safely and efficiently, saving as much energy as possible.

Researchers at the Indian Institute of Technology Kharagpur in India have recently developed a new approach to achieve efficient path planning in mobile robots. Their method, presented in a paper published in Springer Link’s Nature-Inspired Computation in Navigation and Routine Problems, is based on the use of a flower pollination algorithm (FPA), a soft computing-based tool that can identify ideal solutions to a given problem by considering a number of factors and criteria.

“Flower pollination algorithms (FPAs) have shown their potential in various engineering fields,” Atul Mishra, one of the researchers who carried out the study, told TechXplore. “In our study, we used the algorithm to solve the problem of path planning for mobile robots. Our prime objective was to plan, in the least time possible, the most optimal path in terms of minimum path length and energy consumption, with maximum safety.”

A Washington State University research team has found that nanoscale particles of the most commonly used plastics tend to move through the water supply, especially in fresh water, or settle out in wastewater treatment plants, where they end up as sludge, in landfills, and often as fertilizer.

Neither scenario is good.

“We are drinking lots of plastics,” said Indranil Chowdhury, an assistant professor in WSU’s Department of Civil and Environmental Engineering, who led the research. “We are drinking almost a few grams of plastics every month or so. That is concerning because you don’t know what will happen after 20 years.”

A team of scientists in Australia claim to have stumbled on a breakthrough discovery that will have “major implications” for the future of quantum computing.

Describing the find as a “happy accident,” engineers at the University of New South Wales Sydney found a way to control the nucleus of an atom using electric fields rather than magnetic fields—which they have claimed could now open up a “treasure trove of discoveries and applications.”

If you want to download an ISO file of the latest version of Windows 10, the process is very straightforward — just use Microsoft’s Media Creation Tool to generate the image file for you.

But what if you want an older version of Windows 10, or one of the many Windows Insider builds? Or what if you want a copy of Windows 7 or 8.1, or a copy of Microsoft Office? We have the answer.

But lockdowns and forced quarantines on this scale or the nature of some methods — like the collection of mobile phone location data and facial recognition technology to track people’s movements — cannot readily be replicated in other countries, especially democratic ones with institutional protections for individual rights.

And so Singapore, Taiwan and Hong Kong might be more instructive examples. All three places were especially vulnerable to the spread of the infection because of close links with mainland China — especially in early January, as they were prime destinations for Chinese travelers during the upcoming Lunar New Year holiday. And yet, after all three experienced outbreaks of their own, the situation seems to have stabilized.

As of midday Friday, Singapore had 187 cases confirmed and no deaths (for a total population of about 5.7 million), Taiwan had 50 confirmed cases including 1 death (for a total population of about 23.6 million) and Hong Kong had 131 confirmed cases including 4 deaths (for a total population of about 7.5 million).

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Scientists created a device to make water out of thin air 🤯.