Chinese scientists use ML method to quickly obtain the parameters of contact binaries

The blue curve is the density of the distribution without the influence of third light. The red curve is the density of the distribution with the influence of third light.A contact binary is a strongly interacting binary system with two component stars filled with Roche lobes, and there is a common envelope around the component stars.

With the release of thousands of light curves of contact binaries, it will take several hours or days for the current methods to derive the parameters of contact binaries.

Dr. DING Xu and Prof. JI Kaifan from the Yunnan Observatories of the Chinese Academy of Sciences (CAS), in collaboration with postdoctoral LI Xuzhi from the University of Science and Technology of China, have proposed a machine learning-based method to quickly obtain the parameters and errors of contact binaries.

This study was published in The Astronomical Journal on Oct. 18.

The researchers first used a neural network (NN) to establish the mapping relationship between the parameters of the contact binary stars and the light curves and obtained one model without the influence of the third light and one model with the impact of the third light, respectively.

The accuracy of the light curves generated by these two models is less than one-thousandth of the magnitude. The parameters and corresponding errors of the contact binaries can be quickly obtained by combining the Markov chain Monte Carlo algorithm (MCMC). Compared with the traditional methods, this method not only meets the requirements in accuracy but also improves the speed by four orders of magnitude under the same running condition.

This method makes it possible to derive the parameters of a large number of contact binaries. Next, the researchers will analyze the contact binaries in the TESS survey data of the space telescope and the ZTF survey data of the ground telescope.

This work was supported by the National Natural Science Foundation of China and the China Manned Space Project.

Dutch prof analysis predicts how waves are confined within a crystal

Figure 1: Illustration of a 3-dimensional crystal with various types of confining centres. Blue spheres represent unmodified unit cells, and red spheres are confining centres. (a) Crystal with four confining centres, each trapping waves (yellow) in all three dimensions (c=3) simultaneously. (b) Crystal with a linear confining centre where waves can propagate in 1 dimension, analogous to an optical fibre (c=2). (c) Crystal with a planar confining centre where waves can propagate in 2 dimensions, analogous to a 2D electron gas (c=1).Manipulating elusive waves like light, sound, or electrons, in periodic structures or crystals, has something mysterious. In the leading physics journal Physical Review Letters, published by the American Physical Society, a team of researchers from the University of Twente now describes how any kind of wave, whether quantum or classical, is confined in any kind of crystal. The results will notably boost efficient new integrated circuits that steer information encoded in tiny light pulses through smart cities.

Waves represent an inseparable part of our everyday life, whether we listen to music, observe our reflection in a mirror, or experience the ocean rocking a sailing ship. A central challenge in manipulating waves for applications requires the ability to confine the waves in small regions in space. Scientists already know that it’s possible by deliberately introducing tailored deviations from perfect periodicity into the crystal. But how exactly are the waves locked up? Are they confined in all dimensions simultaneously, or do they retain the freedom to move along a line or in a plane? Remarkably, the key step from having the crystal’s structure to predicting the confinement of waves had not been taken until now.

DESIGNING CRYSTALS

You might be familiar with crystals formed by minerals in nature. Such crystals can be used to confine quantum-mechanical electronic waves. Man-made crystals of silicon have led to the discovery of electronic transistors, the basis for the ongoing digital revolution. We now know that there are other types of crystals, that can confine and manipulate different types of waves like light, sound, and potentially even earthquakes.

Having a crystal at hand is not enough to confine waves. The internal structure of the crystal must specifically suit the desired application. To make matters more complicated, there are infinite possibilities for this structure, considering all conceivable building blocks and their arrangements in the crystal. Until now, scientists and engineers trying to confine waves had to rely on their intuition, guesswork, and costly trial-and-error experiments. Figure 2: Confinement analysis of a 2-dimensional quantum crystal for electrons in the semiconductor hexagonal boron-nitride with a nitrogen vacancy. (a) Dispersion relations of the crystal. (b) Ratio of the confinement volume to confinement energy computed for each propagating band of waves. Red points correspond to bands in the crystal with size N = 5, and black points represent the smaller reference N0 = 3 crystal. With the increased size, bands with c=2 confinement move down and bands with c=0 move up in the graph and are thus clearly distinguished. Due to the wave confinement geometry, it turns out there are no c=1 bands.

GENERIC APPROACH

In their Physical Review Letters paper, the Twente researchers present a robust analysis tool that predicts how waves are confined within a crystal, using only the crystal’s structure as input. First author and Ph.D. student Marek Kozon MSc explains: “A central parameter in our analysis is a ‘confinement dimensionality’ that we have invented. It describes the confinement for each possible wave.” COPS group leaders prof dr Willem Vos and prof dr Ad Lagendijk add enthusiastically: “We got excited when we realized from discussions with Marek that our method pertains not only to classical waves such as sound and light but also quantum waves such as electrons in tiny nanostructures.” Based on the new know-how, the designers of crystals can now benefit from new ‘rules of thumb’ for specific applications, resulting in highly simplified and thus efficient design processes. MACS group leaders dr Matthias Schlottbom and prof dr Jaap van der Vegt adds: “Our results are relevant for efficient information processing in new photonic and electronic chips that will populate future smart cities.”

This research was done in the groups Complex Photonic Systems (COPS) and Mathematics of Computational Science (MACS), both part of UT’s MESA+ Institute for Nanotechnology. The paper ‘Scaling theory of wave confinement in classical and quantum periodic systems’, by Marek Kozoň, prof dr Ad Lagendijk, dr Matthias Schlottbom, prof dr Jaap van der Vegt and prof dr Willem Vos, has been published in Physical Review Letters in October 2022.

The work is supported by the Shell-NWO/FOM program "Computational Sciences for Energy Research" (CSER), by the NWO-TTW Perspectief program P15-36 ‘Free-form scattering optics’ (FFSO), by the NWO Open Competitie ENW-GROOT “Self-Assembled lcosahedral Photonic Quasicrystals with a Band Gap for Visible Light”, and MESA+ section Applied Nanophotonics (ANP).

Japanese prof Osada brings quantum supercomputing one step closer to implementation

Scientists from the University of Tokyo invented a way to cool down and measure the motion of a trapped electron in the quantum regime using hybrid quantum systems.  CREDIT Alto Osada, The University of TokyoQuantum computers are powerful computational devices that rely on quantum mechanics, or the science of how particles like electrons and atoms interact with the world around them. These devices could potentially be used to solve certain kinds of computational problems in a much shorter amount of time. Scientists have long hoped that quantum supercomputing could be the next great advance in computing; however, existing limitations have prevented the technology from hitting its true potential. For these computers to work, the basic unit of information integral to their operation, known as quantum bits, or qubits, need to be stable and fast.

Qubits are represented both by simple binary quantum states and by various physical implementations. One promising candidate is a trapped electron that levitates in a vacuum. However, controlling the quantum states, especially the vibrational motions, of trapped electrons can be difficult.

In a paper published in Physical Review Research, researchers identified possible solutions to some of the limitations of qubits for quantum supercomputing. They looked at two different hybrid quantum systems: an electron-superconducting circuit and an electron-ion coupled system. Both systems were able to control the temperature and the movement of the electron.

“We found a way to cool down and measure the motion of an electron levitated in a vacuum, or a trapped electron, both in the quantum regime,” said Assistant Professor Alto Osada at the Komaba Institute for Science at the University of Tokyo. “With the feasibility of quantum-level control of the motion of trapped electrons, the trapped electron becomes more promising and attractive for quantum-technology applications, such as quantum computing.”

The proposed systems that the researchers focused on included an electron trapped in a vacuum called a Paul trap interacting with superconducting circuits and a trapped ion. Because ions are positively charged and electrons are negatively charged, when they are trapped together, they move toward each other because of a phenomenon called Coulomb attraction. Because the electron has such a light mass, the interactions between the electron and circuit and the electron and the ion were particularly strong. They also found that they were able to control the temperature of the electron using microwave fields and optical lasers.

Another important metric that the researchers used to measure the success of their calculations was the phonon mode of the electron. Phonon refers to a unit of energy that characterizes a vibration, or, in this case, the oscillation of the trapped electron. The desirable result was a single-phonon readout and ground-state cooling. Ground-state cooling refers to the frozen state of the electron. Researchers were able to accomplish these through the two hybrid systems they analyzed. “Highly efficient and high-fidelity quantum operations are available in the trapped-electron system,” said Osada. “This novel system manifests itself as a new playground for the development of quantum technologies.”

Looking ahead, researchers note that additional experimental research will need to be done to see if their methods can be implemented and applied to quantum computing. For example, they plan to demonstrate their idea with a proof-of-concept experiment. “We are planning to examine our schemes using electrons trapped in a microwave cavity,” said Osada. “Through this research, we will be able to get another step closer toward precise quantum operations and toward the implementation of quantum computation.”