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Category: quantum physics – Page 236

How Quantum Mechanics Powers the Near-Perfect Efficiency of Photosynthesis

This process, which cannot be understood satisfactorily by classical physics alone, occurs constantly in green plants and other photosynthetic organisms, such as photosynthetic bacteria. However, the exact mechanisms have still not been fully elucidated. Hauer and first author Erika Keil see their study as an important new basis in the effort to clarify how chlorophyll, the pigment in leaf green, works.

Applying these findings in the design of artificial photosynthesis units could help to utilize solar energy with unprecedented efficiency for electricity generation or photochemistry.

Quantum For AI, AI For Quantum

Yuval Boger is the Chief Commercial Officer of QuEra Computing, a leader in neutral-atom quantum computers.

Quantum computing and artificial intelligence stand at the forefront of modern technological advancement, each representing a paradigm shift that can transform industries ranging from healthcare and finance to logistics and materials science. Not long ago, these two fields appeared to be competitors vying for the same innovation budgets—while AI generated immediate returns, quantum computing was seen as a more speculative endeavor. However, the reality is more nuanced. Rather than being rivals, quantum and AI can symbiotically accelerate one another’s progress, sparking breakthroughs that neither could achieve in isolation.

AI is widely deployed today, driving business value via deep learning models, sophisticated analytics platforms and even self-driving technologies. Executives can see tangible returns in short timeframes, spurring widespread adoption. Quantum computing, by contrast, has yet to reach full commercial viability.

Quantum correlation revealed by attosecond delay

Attosecond time-resolved experiments have revealed the increasing importance of electronic correlations in the collective plasmon response as the size of the system decreases to sub-nm scales.

The study, published in the journal Science Advances, was led by the University of Hamburg and DESY as part of a collaboration with Stanford, SLAC National Accelerator Laboratory, Ludwig-Maximilians-Universität München, Northwest Missouri State University, Politecnico di Milano and the Max Planck Institute for the Structure and Dynamics of Matter.

Plasmons are collective electronic excitations that give rise to unique effects in matter. They provide a means of achieving extreme light confinement, enabling groundbreaking applications such as efficient solar energy harvesting, ultrafine sensor technology, and enhanced photocatalysis.

Scientists Think They Could Revolutionize Computing by Leveraging Quantum Teleportation

To test this new system, the team executed what is known as Grover’s search algorithm—first described by Indian-American computer scientist Lov Grover in 1996. This search looks for a particular item in a large, unstructured dataset using superposition and entanglement in parallel. The search algorithm also exhibits a quadratic speedup, meaning a quantum computer can solve a problem with the square root of the input rather than just a linear increase. The authors report that the system achieved a 71 percent success rate.

While operating a successful distributed system is a big step forward for quantum computing, the team reiterates that the engineering challenges remain daunting. However, networking together quantum processors into a distributed network using quantum teleportation provides a small glimmer of light at the end of a long, dark quantum computing development tunnel.

“Scaling up quantum computers remains a formidable technical challenge that will likely require new physics insights as well as intensive engineering effort over the coming years,” David Lucas, principal investigator of the study from Oxford University, said in a press statement. “Our experiment demonstrates that network-distributed quantum information processing is feasible with current technology.”

Quantum-inspired advancement turns crystal gaps into terabyte storage for classical memory

From punch card-operated looms in the 1800s to modern cellphones, if an object has an “on” and an “off” state, it can be used to store information.

In a computer laptop, the binary ones and zeroes are transistors either running at low or high voltage. On a compact disc, the one is a spot where a tiny indented “pit” turns to a flat “land” or vice versa, while a zero is when there’s no change.

Historically, the size of the object making the “ones” and “zeroes” has put a limit on the size of the storage device. But now, University of Chicago Pritzker School of Molecular Engineering (UChicago PME) researchers have explored a technique to make ones and zeroes out of crystal defects, each the size of an individual atom for classical computer memory applications.

Atomic traffic control—researchers develop novel technology for more precise quantum sensors

Quantum sensors can be significantly more precise than conventional sensors and are used for Earth observation, navigation, material testing, and chemical or biomedical analysis, for example. TU Darmstadt researchers have now developed and tested a technique that makes quantum sensors even more precise.

What is behind this technology? Quantum sensors, based on the wave nature of , use quantum interference to measure accelerations and rotations with extremely high precision. This technology requires optimized beam splitters and mirrors for atoms. However, atoms that are reflected in unintentional ways can significantly impair such measurements.

The scientists therefore use specially designed as velocity-selective atom , which reflect the desired atoms and allow parasitic atoms to pass through. This approach reduces the noise in the signal, making the measurements much more precise. The research is published in the journal Physical Review Research.

Scientists Just Made a Breakthrough in Nanocrystals That Could Supercharge Solar Power

Researchers are breaking new ground with halide perovskites, promising a revolution in energy-efficient technologies.

By exploring these materials at the nanoscale.

The term “nanoscale” refers to dimensions that are measured in nanometers (nm), with one nanometer equaling one-billionth of a meter. This scale encompasses sizes from approximately 1 to 100 nanometers, where unique physical, chemical, and biological properties emerge that are not present in bulk materials. At the nanoscale, materials exhibit phenomena such as quantum effects and increased surface area to volume ratios, which can significantly alter their optical, electrical, and magnetic behaviors. These characteristics make nanoscale materials highly valuable for a wide range of applications, including electronics, medicine, and materials science.

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