Pub Date : 2024-07-08DOI: 10.34133/icomputing.0099
Juan Lin, Shou-Bang Yang, Fan Wu, Zhen-Biao Yang
A Kerr nonlinear oscillator (KNO) supports a pair of steady eigenstates, coherent states with opposite phases, that are good for the encoding of continuous variable qubit basis states. Arbitrary control of the KNO confined within the steady state subspace allows extraction of the Berry curvature through the linear response of the physical observable to the quench velocity of the system, providing an effective method for the characterization of topology in the KNO. As an alternative, the control adopting the"shortcut to adiabaticity"to the KNO enables the exploration of the topology through accelerated adiabatic eigenstate evolution to measure all three physical observables. Topological transitions are revealed by the jump of the first Chern number, obtained respectively from the integral of the Berry curvature and of the new polar angle relation, over the whole parameter space. Our strategy paves the way for measuring topological transitions in continuous variable systems.
{"title":"Topological Transitions in a Kerr Nonlinear Oscillator","authors":"Juan Lin, Shou-Bang Yang, Fan Wu, Zhen-Biao Yang","doi":"10.34133/icomputing.0099","DOIUrl":"https://doi.org/10.34133/icomputing.0099","url":null,"abstract":"A Kerr nonlinear oscillator (KNO) supports a pair of steady eigenstates, coherent states with opposite phases, that are good for the encoding of continuous variable qubit basis states. Arbitrary control of the KNO confined within the steady state subspace allows extraction of the Berry curvature through the linear response of the physical observable to the quench velocity of the system, providing an effective method for the characterization of topology in the KNO. As an alternative, the control adopting the\"shortcut to adiabaticity\"to the KNO enables the exploration of the topology through accelerated adiabatic eigenstate evolution to measure all three physical observables. Topological transitions are revealed by the jump of the first Chern number, obtained respectively from the integral of the Berry curvature and of the new polar angle relation, over the whole parameter space. Our strategy paves the way for measuring topological transitions in continuous variable systems.","PeriodicalId":502319,"journal":{"name":"Intelligent Computing","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141668399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.34133/icomputing.0089
Andreas Triantafyllopoulos, Lukas Christ, Alexander Gebhard, Xin Jing, Alexander Kathan, M. Milling, Iosif Tsangko, S. Amiriparian, Bjorn W. Schuller
{"title":"Beyond Deep Learning: Charting the Next Frontiers of Affective Computing","authors":"Andreas Triantafyllopoulos, Lukas Christ, Alexander Gebhard, Xin Jing, Alexander Kathan, M. Milling, Iosif Tsangko, S. Amiriparian, Bjorn W. Schuller","doi":"10.34133/icomputing.0089","DOIUrl":"https://doi.org/10.34133/icomputing.0089","url":null,"abstract":"","PeriodicalId":502319,"journal":{"name":"Intelligent Computing","volume":"29 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141684654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.34133/icomputing.0098
Laurynas Valantinas, Tom Vettenburg
{"title":"Scaling Up Wave Calculations with a Scattering Network","authors":"Laurynas Valantinas, Tom Vettenburg","doi":"10.34133/icomputing.0098","DOIUrl":"https://doi.org/10.34133/icomputing.0098","url":null,"abstract":"","PeriodicalId":502319,"journal":{"name":"Intelligent Computing","volume":"55 s61","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-11DOI: 10.34133/icomputing.0086
M. Moranges, A. Fournel, Marc Thévenet, Marc Plantevit, Moustafa Bensafi
{"title":"Using Exceptional Attributed Subgraph Mining to Explore Interindividual Variability in Odor Pleasantness Processing in the Piriform Cortex & Amygdala","authors":"M. Moranges, A. Fournel, Marc Thévenet, Marc Plantevit, Moustafa Bensafi","doi":"10.34133/icomputing.0086","DOIUrl":"https://doi.org/10.34133/icomputing.0086","url":null,"abstract":"","PeriodicalId":502319,"journal":{"name":"Intelligent Computing","volume":"61 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141360007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tracking Emotions using an Evolutionary Model of Mental State Transitions: Introducing a New Paradigm","authors":"Fuji Ren, Yangyang Zhou, Jiawen Deng, Kazuyuki Matsumoto, Duo Feng, Tianhao She, Ziyun Jiao, Zheng Liu, Taihao Li, Satoshi Nakagawa, Xin Kang","doi":"10.34133/icomputing.0075","DOIUrl":"https://doi.org/10.34133/icomputing.0075","url":null,"abstract":"","PeriodicalId":502319,"journal":{"name":"Intelligent Computing","volume":"24 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140226215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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