Pre-training strategy using real particle collision data for event classification in collider physics

This study aims to improve the performance of event classification in collider physics by introducing a pre-training strategy. Event classification is a typical problem in collider physics, where the goal is to distinguish the signal events of interest from background events as much as possible to search for new phenomena in nature. A pre-training strategy with feasibility to efficiently train the target event classification using a small amount of training data has been proposed. Real particle collision data were used in the pre-training phase as a novelty, where a self-supervised learning technique to handle the unlabeled data was employed. The ability to use real data in the pre-training phase eliminates the need to generate a large amount of training data by simulation and mitigates bias in the choice of physics processes in the training data. Our experiments using CMS open data confirmed that high event classification performance can be achieved by introducing a pre-trained model. This pre-training strategy provides a potential approach to save computational resources for future collider experiments and introduces a foundation model for event classification.Comment: Presented at the Machine Learning and the Physical Sciences Workshop, NeurIPS 202

くちコミ情報が消費者判断に及ぼす影響

The effects of word-of-mouth information on consumer judgments were investigated. Female undergraduates(n=145) were presented with two types of sunscreen creams, one of which was described as more effective and inexpensive than the other. Then, the participants\u27 attitudes regarding both products were measured. Results indicated that the participants formed favorable attitudes about the above described product, and an unfavorable attitude about the other. Next, participants read a scenario that contained positive or negative word-of-mouth information by a friend of a friend about either product, or a scenario that did not contain such word-of-mouth information. Their attitudes toward the products were measured through items regarding their impressions of the product, newsworthiness, purchase intent, and brand recognition. The results showed that word-of-mouth information had an effect on consumer judgments, but that the effects of negative information were weaker than the effects of positive information. Moreover, prior attitudes toward the product had no significant influence on consumer judgments. Issues for future studies regarding the effects of word-of-mouth information and prior attitudes on consumer judgments are discussed

関連感情がメッセージの精緻化に及ぼす効果 : ムード改善期待感の役割

The effect of affective states which stem directly from a target message (relevant affect) on elaboration of the same message was investigated. In an experiment, expectancies for mood improvement were manipulated through a bogus task. Then the target advertisement was presented, and positive or negative affective sates were introduced through the ad. The extent of message elaboration of the ad was measured by an unexpected recall task. Under the negative mood condition, participants who expected mood improvements elaborated the message more than participants who were not introduced such expectancies. These results indicated that the expectancies for mood improvement mediated the message elaboration under the negative mood condition. The issues for future investigations regarding affect and information processing are discussed

Quantum Gate Pattern Recognition and Circuit Optimization for Scientific Applications

There is no unique way to encode a quantum algorithm into a quantum circuit. With limited qubit counts, connectivities, and coherence times, circuit optimization is essential to make the best use of near-term quantum devices. We introduce two separate ideas for circuit optimization and combine them in a multi-tiered quantum circuit optimization protocol called AQCEL. The first ingredient is a technique to recognize repeated patterns of quantum gates, opening up the possibility of future hardware co-optimization. The second ingredient is an approach to reduce circuit complexity by identifying zero- or low-amplitude computational basis states and redundant gates. As a demonstration, AQCEL is deployed on an iterative and efficient quantum algorithm designed to model final state radiation in high energy physics. For this algorithm, our optimization scheme brings a significant reduction in the gate count without losing any accuracy compared to the original circuit. Additionally, we have investigated whether this can be demonstrated on a quantum computer using polynomial resources. Our technique is generic and can be useful for a wide variety of quantum algorithms.Comment: 22 pages, 16 figure

The Effects of Communication Partner’s Group Membership and Communication Openness on Emotional Sharing and Perceived Connection : An Examination Using LINE Chat Screens

本研究では，二者間のコミュニケーションにおいて，集団成員性と開放性（第三者の存在の有無）が感情共有や関係性認知に及ぼす影響について，ウェブ実験を用いて検討した。646人の参加者が架空のLINEメッセージを呈示され，自分の感情や送り手の感情推測，送り手との結びつき知覚などを回答した。送り手の集団成員性が操作され，個人メッセージかグループトークかで開放性が操作された。実験の結果，集団成員性と開放性は感情共有に影響を与えなかったが，送り手と感情共有をした場合，しなかった場合と比べて態度共有も促進され，送り手との結びつきも強く感じられた。また，送り手があわれみの感情を表出している場合，他の感情は抑制された。これらの結果から，感情共有が他者との関係性維持に貢献することが示され，また，表出される感情の内容も感情共有に影響を及ぼす可能性が示唆された。This study investigated the effects of group membership and openness (presence or absence of a third party) on emotion sharing and relationship recognition in dyadic communication using a web experiment. Six hundred forty-six participants were presented with fictitious LINE messages and were asked to answer questions about their own emotions, their perception of the sender's emotions, and their perceived connection with the sender. The sender's group membership was manipulated, and the level of openness was manipulated by presenting messages as either individual or group chats. Results showed that group membership and openness did not affect emotion sharing. Still, attitude sharing was more promoted, and a stronger perceived connection with the sender was felt when participants shared emotions with the sender compared to when they did not. Furthermore, when the sender expressed a feeling of pity, other emotions were suppressed. These results suggest that emotion sharing contributes to maintaining relationships with others and that the content of expressed emotions may also affect emotion sharing.4論文departmental bulletin pape