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Category: computing – Page 76
Predicting the behavior of many interacting quantum particles is a complex task, but it’s essential for unlocking the potential of quantum computing in real-world applications. A team of researchers, led by EPFL, has developed a new method to compare quantum algorithms and identify the most challenging quantum problems to solve.
Quantum systems, from subatomic particles to complex molecules, hold the key to understanding the workings of the universe. However, modeling these systems quickly becomes overwhelming due to their immense complexity. It’s like trying to predict the behavior of a massive crowd where everyone constantly influences everyone else. When you replace the crowd with quantum particles, you encounter what’s known as the “quantum many-body problem.”
Quantum many-body problems involve predicting the behavior of numerous interacting quantum particles. Solving these problems could lead to major breakthroughs in fields like chemistry and materials science, and even accelerate the development of technologies like quantum computers.
Researchers have achieved a breakthrough in observing intrinsic magnetic structures in kagome lattices, which may significantly influence future quantum computing and superconductivity applications.
A research team led by Prof. Qingyou Lu from the Hefei Institutes of Physical Science at the Chinese Academy of Sciences, in collaboration with Prof. Yimin Xiong from Anhui University, has achieved a groundbreaking discovery. Using advanced techniques such as magnetic force microscopy (MFM), electron paramagnetic resonance spectroscopy, and micromagnetic simulations, they have made the first-ever observation of intrinsic magnetic structures within a kagome lattice.
These findings, published recently in Advanced Science, shed new light on the behavior of materials, which is largely determined by the interaction between their internal electrons and lattice structure. Kagome lattices, known for their unique properties like Dirac points and flat bands, display extraordinary phenomena such as topological magnetism and unconventional superconductivity. These lattices are of great interest because of their potential to unlock new insights into high-temperature superconductivity and quantum computing. Despite this, the intrinsic spin patterns that define these materials have remained elusive—until now.
NASA has temporarily halted operations of its quantum computer after it produced unexpected results. The computer, which is still under development, is designed to simulate complex systems such as those found in space. However, during a recent test, the computer-generated results that were inconsistent with known physical laws.
NASA scientists are currently investigating the cause of the anomaly. They are also working to develop safeguards to prevent similar incidents from happening in the future.
The shutdown of the quantum computer is a setback for NASA’s efforts to develop new technologies for space exploration. However, it is also an opportunity to learn more about the potential of quantum computing.
Organic electrochemical transistors (OECTs) are neuromorphic transistors made of carbon-based materials that combine both electronic and ionic charge carriers. These transistors could be particularly effective solutions for amplifying and switching electronic signals in devices designed to be placed on the human skin, such as smart watches, trackers that monitor physiological signals and other wearable technologies.
In contrast with conventional neuromorphic transistors, OECTs could operate reliably in wet or humid environments, which would be highly advantageous for both medical and wearable devices. Despite their potential, most existing OECTs are based on stiff materials, which can reduce the comfort of wearables and thus hinder their large-scale deployment.
Researchers at the University of Hong Kong have developed a new wearable device based on stretchable OECTs that can both perform computations and collect signals from the surrounding environment. Their proposed system, presented in a paper published in Nature Electronics, could be used to realize in-sensor edge computing on a flexible wearable device that is comfortable for users.
Astronomers have published a gigantic infrared map of the Milky Way containing more than 1.5 billion objects — the most detailed one ever made. Using the European Southern Observatory’s VISTA telescope, the team monitored the central regions of our Galaxy over more than 13 years. At 500 terabytes of data, this is the largest observational project ever carried out with an ESO telescope.
“We made so many discoveries, we have changed the view of our Galaxy forever,” says Dante Minniti, an astrophysicist at Universidad Andrés Bello in Chile who led the overall project.
This record-breaking map comprises 200,000 images taken by ESO’s VISTA — the Visible and Infrared Survey Telescope for Astronomy. Located at ESO’s Paranal Observatory in Chile, the telescope’s main purpose is to map large areas of the sky. The team used VISTA’s infrared camera VIRCAM, which can peer through the dust and gas that permeates our galaxy. It is therefore able to see the radiation from the Milky Way’s most hidden places, opening a unique window onto our galactic surroundings.
Residents on Chicago’s Southeast Side are urging city and state officials to slow down the development of a quantum computing campus.
A team of Chinese researchers, led by Wang Chao from Shanghai University, has demonstrated that D-Wave’s quantum annealing computers can crack encryption methods that safeguard sensitive global data.
This breakthrough, published in the Chinese Journal of Computers, emphasizes that quantum machines are closer than expected to threatening widely used cryptographic systems, including RSA and Advanced Encryption Standard (AES).
The research team’s experiments focused on leveraging D-Wave’s quantum technology to solve cryptographic problems. In their paper, titled “Quantum Annealing Public Key Cryptographic Attack Algorithm Based on D-Wave Advantage,” the researchers explained how quantum annealing could transform cryptographic attacks into combinatorial optimization problems, making them more manageable for quantum systems.
How do we assess quantum advantage when exact classical solutions are not available?
A quantum advantage is a demonstration of a solution for a problem for which a quantum computer can provide a demonstrable improvement over any classical method and classical resources in terms of accuracy, runtime…
Today, algorithms designed to solve this problem mostly rely on what we call variational methods, which are algorithms guaranteed to output an energy for a target system which cannot be lower than the exact solution — or the deepest valley — up to statistical uncertainties. An ideal quality metric for the ground state problem would not only allow the user to benchmark different methods against the same problem, but also different target problems when tackled by the same method.
So, how can such an absolute metric be defined? And what would be the consequences of finding this absolute accuracy metric?
We construct our accuracy metric from an estimation of the energy and its variance for any specific algorithm used to solve the ground state problem, with additional parameters of the system such as the size and the nature of its interactions. We call this metric “variational-score,” or and show that it is an absolute metric for this benchmark.
A research team led by National Tsing Hua University Department of Physics and Center for Quantum Science and Technology professor Chuu Chih-sung (褚志崧) has developed Taiwan’s first and the world’s smallest quantum computer, using a single photon, the university said yesterday.
Chuu said in the…
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