Ex) Article Title, Author, Keywords
Ex) Article Title, Author, Keywords
Abstract : Ion trap is emerging as one of the key techniques in the field of quantum computing due to its high precision and long coherence time. This review covers recent research trends in quantum computing technologies based on ion trap, discussing the technological advancements in the control and operation of quantum bits (qubits). We deal with quantum state preparation, Rabi oscillations, and decoherence suppression methods within ion trap systems. Additionally, the potential and commercialization prospects of ion trap for realizing next-generation quantum computers are examined, along with its contributions to enhancing the performance of quantum computers. Compared to other quantum computing implementations, ion trap offers remarkable accuracy and scalability, and it is expected to play a crucial role in the development of next-generation high-performance quantum computers.
Abstract : In high-energy experiments, photo detectors using photomultiplier tubes require detection materials that absorb the energy of incident particles and convert it into an optical signal. These materials must exhibit high geometric efficiency, scintillation efficiency, and light output. The most common detection materials that satisfy these characteristics are utilized in the form of liquid scintillators where certain organic scintillation solutes are dissolved in a solvent. In order to achieve a high signal-to-noise ratio, this paper is focusing efforts on the development of next-generation liquid scintillators as detection materials and the saturation response of photomultiplier tubes to high-energy gamma rays as photo detector response characteristics. As a preliminary step towards achieving a high signal-to-noise ratio, to date, basic several research that has not been reported was performed on the recognition of detector output signal patterns and predictive maintenance of triggered detectors through signal preprocessing studies.
Abstract : Recently, researches on the various types of neuromorphic synaptic devices are attracting attention. In this paper, a synaptic device was fabricated and its characteristics were analyzed using a mesh-type platinum floating gate that mimics nanoparticles. Compared with single floating gates, mesh-type floating gates have a wider memory window and excellent electrical characteristics with improved operation speed and retention. Appropriate thickness conditions were set by checking the EOT (equivalent oxide thickness) and breakdown voltage of the tunnel oxide and control oxide using capacitance-voltage curves and a current-voltage curve. Excellent program and erase operation, synaptic weight, repeatability, reproducibility and memory window width were confirmed using the capacitance-voltage curves. It was compared whether the same performance was achieved even if part of the floating gate was damaged, suggesting the possibility of a synaptic device.
Abstract : Hamiltonian-based impurity solvers for dynamical mean-field theory (DMFT) approximate a continuous hybridization function with a finite set of effective bath orbitals to keep computational costs manageable. This process involves minimizing a cost function that quantifies the difference between the hybridization function of the continuous bath and that of a finite number of bath orbitals. However, as the number of effective bath orbitals increases, minimizing a multi-dimensional cost function becomes increasingly complex, and the computational expense of optimizing bath parameters escalates. To address these challenges, we employ a machine learning approach using supervised learning to replace computationally intensive tasks. We test various features and labels to identify efficient machine-learning models capable of bypassing the time-consuming bath fitting procedure.
Abstract : This study investigated pre-service elementary school teachers' preconceptions regarding the shape of light from the bulbs passing through a small hole by varying the shape of the hole (circular or triangular) and the type of light source (point, linear, or composite). The analysis revealed that the majority of participants, regardless of the number or shape of light sources, responded that the light passing through a circular hole would form a single circular shape on the screen, while the light passing through a triangular hole would form a single triangular shape on the screen. Additionally, 74 participants (71.2%) consistently responded with misconceptions across all the questions. They believed that the shape of light projected onto the screen was determined by the hole shape in the mask, or that the light spread out in a circular manner after passing through the small hole. Furthermore, some participants believed that as the number or size of bulbs increased, the lit area on the screen would also become larger. The findings could be used as fundamental data for developing educational courses and programs at teacher training universities (colleges) to correct the pre-service elementary school teachers' misconceptions regarding the rectilinear propagation of light.
Aekyung Shin, Donggeul Hyun, Jeongwoo Park
New Phys.: Sae Mulli 2023; 73(1): 37-43
https://doi.org/10.3938/NPSM.73.37
Geon Park, Inseo Kim, Hojung Sun, Yongjei Lee, Kimoon Lee, JungYup Yang
New Phys.: Sae Mulli 2023; 73(1): 23-28
https://doi.org/10.3938/NPSM.73.23
Sangwoo Ha
New Phys.: Sae Mulli 2023; 73(9): 734-749
https://doi.org/10.3938/NPSM.73.734