--- _id: '10628' abstract: - lang: eng text: The surface states of 3D topological insulators in general have negligible quantum oscillations (QOs) when the chemical potential is tuned to the Dirac points. In contrast, we find that topological Kondo insulators (TKIs) can support surface states with an arbitrarily large Fermi surface (FS) when the chemical potential is pinned to the Dirac point. We illustrate that these FSs give rise to finite-frequency QOs, which can become comparable to the extremal area of the unhybridized bulk bands. We show that this occurs when the crystal symmetry is lowered from cubic to tetragonal in a minimal two-orbital model. We label such surface modes as 'shadow surface states'. Moreover, we show that the sufficient next-nearest neighbor out-of-plane hybridization leading to shadow surface states can be self-consistently stabilized for tetragonal TKIs. Consequently, shadow surface states provide an important example of high-frequency QOs beyond the context of cubic TKIs. acknowledgement: PG acknowledges support from National Science Foundation Awards No. DMR-1824265 for this work. AG acknowledges support from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. 754411. EMN is supported by ASU startup grant. OE is in part supported by NSF-DMR-1904716. article_number: '123042' article_processing_charge: No article_type: original author: - first_name: Areg full_name: Ghazaryan, Areg id: 4AF46FD6-F248-11E8-B48F-1D18A9856A87 last_name: Ghazaryan orcid: 0000-0001-9666-3543 - first_name: Emilian M. full_name: Nica, Emilian M. last_name: Nica - first_name: Onur full_name: Erten, Onur last_name: Erten - first_name: Pouyan full_name: Ghaemi, Pouyan last_name: Ghaemi citation: ama: Ghazaryan A, Nica EM, Erten O, Ghaemi P. Shadow surface states in topological Kondo insulators. New Journal of Physics. 2021;23(12). doi:10.1088/1367-2630/ac4124 apa: Ghazaryan, A., Nica, E. M., Erten, O., & Ghaemi, P. (2021). Shadow surface states in topological Kondo insulators. New Journal of Physics. IOP Publishing. https://doi.org/10.1088/1367-2630/ac4124 chicago: Ghazaryan, Areg, Emilian M. Nica, Onur Erten, and Pouyan Ghaemi. “Shadow Surface States in Topological Kondo Insulators.” New Journal of Physics. IOP Publishing, 2021. https://doi.org/10.1088/1367-2630/ac4124. ieee: A. Ghazaryan, E. M. Nica, O. Erten, and P. Ghaemi, “Shadow surface states in topological Kondo insulators,” New Journal of Physics, vol. 23, no. 12. IOP Publishing, 2021. ista: Ghazaryan A, Nica EM, Erten O, Ghaemi P. 2021. Shadow surface states in topological Kondo insulators. New Journal of Physics. 23(12), 123042. mla: Ghazaryan, Areg, et al. “Shadow Surface States in Topological Kondo Insulators.” New Journal of Physics, vol. 23, no. 12, 123042, IOP Publishing, 2021, doi:10.1088/1367-2630/ac4124. short: A. Ghazaryan, E.M. Nica, O. Erten, P. Ghaemi, New Journal of Physics 23 (2021). date_created: 2022-01-16T23:01:28Z date_published: 2021-12-23T00:00:00Z date_updated: 2023-08-17T06:54:54Z day: '23' ddc: - '530' department: - _id: MiLe doi: 10.1088/1367-2630/ac4124 ec_funded: 1 external_id: arxiv: - '2012.11625' isi: - '000734063700001' file: - access_level: open_access checksum: 0c3cb6816242fa8afd1cc87a5fe77821 content_type: application/pdf creator: cchlebak date_created: 2022-01-17T10:01:58Z date_updated: 2022-01-17T10:01:58Z file_id: '10632' file_name: 2021_NewJourPhys_Ghazaryan.pdf file_size: 2533102 relation: main_file success: 1 file_date_updated: 2022-01-17T10:01:58Z has_accepted_license: '1' intvolume: ' 23' isi: 1 issue: '12' language: - iso: eng month: '12' oa: 1 oa_version: Published Version project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: New Journal of Physics publication_identifier: issn: - 1367-2630 publication_status: published publisher: IOP Publishing quality_controlled: '1' scopus_import: '1' status: public title: Shadow surface states in topological Kondo insulators tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 23 year: '2021' ... --- _id: '10631' abstract: - lang: eng text: We combine experimental and theoretical approaches to explore excited rotational states of molecules embedded in helium nanodroplets using CS2 and I2 as examples. Laser-induced nonadiabatic molecular alignment is employed to measure spectral lines for rotational states extending beyond those initially populated at the 0.37 K droplet temperature. We construct a simple quantum-mechanical model, based on a linear rotor coupled to a single-mode bosonic bath, to determine the rotational energy structure in its entirety. The calculated and measured spectral lines are in good agreement. We show that the effect of the surrounding superfluid on molecular rotation can be rationalized by a single quantity, the angular momentum, transferred from the molecule to the droplet. acknowledgement: I.C. acknowledges the support by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 665385. G.B. acknowledges support from the Austrian Science Fund (FWF), under project No. M2461-N27. M.L. acknowledges support by the Austrian Science Fund (FWF), under project No. P29902-N27, and by the European Research Council (ERC) Starting Grant No. 801770 (ANGULON). H.S acknowledges support from the European Research Council-AdG (Project No. 320459, DropletControl) and from The Villum Foundation through a Villum Investigator grant no. 25886. article_number: L061303 article_processing_charge: No article_type: original author: - first_name: Igor full_name: Cherepanov, Igor id: 339C7E5A-F248-11E8-B48F-1D18A9856A87 last_name: Cherepanov - first_name: Giacomo full_name: Bighin, Giacomo id: 4CA96FD4-F248-11E8-B48F-1D18A9856A87 last_name: Bighin orcid: 0000-0001-8823-9777 - first_name: Constant A. full_name: Schouder, Constant A. last_name: Schouder - first_name: Adam S. full_name: Chatterley, Adam S. last_name: Chatterley - first_name: Simon H. full_name: Albrechtsen, Simon H. last_name: Albrechtsen - first_name: Alberto Viñas full_name: Muñoz, Alberto Viñas last_name: Muñoz - first_name: Lars full_name: Christiansen, Lars last_name: Christiansen - first_name: Henrik full_name: Stapelfeldt, Henrik last_name: Stapelfeldt - first_name: Mikhail full_name: Lemeshko, Mikhail id: 37CB05FA-F248-11E8-B48F-1D18A9856A87 last_name: Lemeshko orcid: 0000-0002-6990-7802 citation: ama: Cherepanov I, Bighin G, Schouder CA, et al. Excited rotational states of molecules in a superfluid. Physical Review A. 2021;104(6). doi:10.1103/PhysRevA.104.L061303 apa: Cherepanov, I., Bighin, G., Schouder, C. A., Chatterley, A. S., Albrechtsen, S. H., Muñoz, A. V., … Lemeshko, M. (2021). Excited rotational states of molecules in a superfluid. Physical Review A. American Physical Society. https://doi.org/10.1103/PhysRevA.104.L061303 chicago: Cherepanov, Igor, Giacomo Bighin, Constant A. Schouder, Adam S. Chatterley, Simon H. Albrechtsen, Alberto Viñas Muñoz, Lars Christiansen, Henrik Stapelfeldt, and Mikhail Lemeshko. “Excited Rotational States of Molecules in a Superfluid.” Physical Review A. American Physical Society, 2021. https://doi.org/10.1103/PhysRevA.104.L061303. ieee: I. Cherepanov et al., “Excited rotational states of molecules in a superfluid,” Physical Review A, vol. 104, no. 6. American Physical Society, 2021. ista: Cherepanov I, Bighin G, Schouder CA, Chatterley AS, Albrechtsen SH, Muñoz AV, Christiansen L, Stapelfeldt H, Lemeshko M. 2021. Excited rotational states of molecules in a superfluid. Physical Review A. 104(6), L061303. mla: Cherepanov, Igor, et al. “Excited Rotational States of Molecules in a Superfluid.” Physical Review A, vol. 104, no. 6, L061303, American Physical Society, 2021, doi:10.1103/PhysRevA.104.L061303. short: I. Cherepanov, G. Bighin, C.A. Schouder, A.S. Chatterley, S.H. Albrechtsen, A.V. Muñoz, L. Christiansen, H. Stapelfeldt, M. Lemeshko, Physical Review A 104 (2021). date_created: 2022-01-16T23:01:29Z date_published: 2021-12-30T00:00:00Z date_updated: 2023-08-17T06:52:17Z day: '30' department: - _id: MiLe doi: 10.1103/PhysRevA.104.L061303 ec_funded: 1 external_id: arxiv: - '2107.00468' isi: - '000739618300001' intvolume: ' 104' isi: 1 issue: '6' language: - iso: eng main_file_link: - open_access: '1' url: http://128.84.4.18/abs/2107.00468 month: '12' oa: 1 oa_version: Preprint project: - _id: 26031614-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P29902 name: Quantum rotations in the presence of a many-body environment - _id: 2688CF98-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '801770' name: 'Angulon: physics and applications of a new quasiparticle' - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program - _id: 26986C82-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: M02641 name: A path-integral approach to composite impurities publication: Physical Review A publication_identifier: eissn: - 2469-9934 issn: - 2469-9926 publication_status: published publisher: American Physical Society quality_controlled: '1' scopus_import: '1' status: public title: Excited rotational states of molecules in a superfluid type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 104 year: '2021' ... --- _id: '10597' abstract: - lang: eng text: We thank Emmanuel Abbe and Min Ye for providing us the implementation of RPA decoding. D. Fathollahi and M. Mondelli are partially supported by the 2019 Lopez-Loreta Prize. N. Farsad is supported by Discovery Grant from the Natural Sciences and Engineering Research Council of Canada (NSERC) and Canada Foundation for Innovation (CFI), John R. Evans Leader Fund. S. A. Hashemi is supported by a Postdoctoral Fellowship from NSERC. article_processing_charge: No author: - first_name: Dorsa full_name: Fathollahi, Dorsa last_name: Fathollahi - first_name: Nariman full_name: Farsad, Nariman last_name: Farsad - first_name: Seyyed Ali full_name: Hashemi, Seyyed Ali last_name: Hashemi - first_name: Marco full_name: Mondelli, Marco id: 27EB676C-8706-11E9-9510-7717E6697425 last_name: Mondelli orcid: 0000-0002-3242-7020 citation: ama: 'Fathollahi D, Farsad N, Hashemi SA, Mondelli M. Sparse multi-decoder recursive projection aggregation for Reed-Muller codes. In: 2021 IEEE International Symposium on Information Theory. Institute of Electrical and Electronics Engineers; 2021:1082-1087. doi:10.1109/isit45174.2021.9517887' apa: 'Fathollahi, D., Farsad, N., Hashemi, S. A., & Mondelli, M. (2021). Sparse multi-decoder recursive projection aggregation for Reed-Muller codes. In 2021 IEEE International Symposium on Information Theory (pp. 1082–1087). Virtual, Melbourne, Australia: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/isit45174.2021.9517887' chicago: Fathollahi, Dorsa, Nariman Farsad, Seyyed Ali Hashemi, and Marco Mondelli. “Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes.” In 2021 IEEE International Symposium on Information Theory, 1082–87. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/isit45174.2021.9517887. ieee: D. Fathollahi, N. Farsad, S. A. Hashemi, and M. Mondelli, “Sparse multi-decoder recursive projection aggregation for Reed-Muller codes,” in 2021 IEEE International Symposium on Information Theory, Virtual, Melbourne, Australia, 2021, pp. 1082–1087. ista: 'Fathollahi D, Farsad N, Hashemi SA, Mondelli M. 2021. Sparse multi-decoder recursive projection aggregation for Reed-Muller codes. 2021 IEEE International Symposium on Information Theory. ISIT: International Symposium on Information Theory, 1082–1087.' mla: Fathollahi, Dorsa, et al. “Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes.” 2021 IEEE International Symposium on Information Theory, Institute of Electrical and Electronics Engineers, 2021, pp. 1082–87, doi:10.1109/isit45174.2021.9517887. short: D. Fathollahi, N. Farsad, S.A. Hashemi, M. Mondelli, in:, 2021 IEEE International Symposium on Information Theory, Institute of Electrical and Electronics Engineers, 2021, pp. 1082–1087. conference: end_date: 2021-07-20 location: Virtual, Melbourne, Australia name: 'ISIT: International Symposium on Information Theory' start_date: 2021-07-12 date_created: 2022-01-03T11:31:26Z date_published: 2021-09-01T00:00:00Z date_updated: 2023-08-17T06:32:06Z day: '01' department: - _id: MaMo doi: 10.1109/isit45174.2021.9517887 external_id: arxiv: - '2011.12882' isi: - '000701502201029' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2011.12882 month: '09' oa: 1 oa_version: Preprint page: 1082-1087 project: - _id: 059876FA-7A3F-11EA-A408-12923DDC885E name: Prix Lopez-Loretta 2019 - Marco Mondelli publication: 2021 IEEE International Symposium on Information Theory publication_identifier: eisbn: - 978-1-5386-8209-8 isbn: - 978-1-5386-8210-4 publication_status: published publisher: Institute of Electrical and Electronics Engineers quality_controlled: '1' scopus_import: '1' status: public title: Sparse multi-decoder recursive projection aggregation for Reed-Muller codes type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 year: '2021' ... --- _id: '10666' abstract: - lang: eng text: Adversarial training is an effective method to train deep learning models that are resilient to norm-bounded perturbations, with the cost of nominal performance drop. While adversarial training appears to enhance the robustness and safety of a deep model deployed in open-world decision-critical applications, counterintuitively, it induces undesired behaviors in robot learning settings. In this paper, we show theoretically and experimentally that neural controllers obtained via adversarial training are subjected to three types of defects, namely transient, systematic, and conditional errors. We first generalize adversarial training to a safety-domain optimization scheme allowing for more generic specifications. We then prove that such a learning process tends to cause certain error profiles. We support our theoretical results by a thorough experimental safety analysis in a robot-learning task. Our results suggest that adversarial training is not yet ready for robot learning. acknowledgement: M.L. and T.A.H. are supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). R.H. and D.R. are supported by Boeing and R.G. by Horizon-2020 ECSEL Project grant no. 783163 (iDev40). article_processing_charge: No author: - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Radu full_name: Grosu, Radu last_name: Grosu - first_name: Daniela full_name: Rus, Daniela last_name: Rus - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 citation: ama: 'Lechner M, Hasani R, Grosu R, Rus D, Henzinger TA. Adversarial training is not ready for robot learning. In: 2021 IEEE International Conference on Robotics and Automation. ICRA. ; 2021:4140-4147. doi:10.1109/ICRA48506.2021.9561036' apa: Lechner, M., Hasani, R., Grosu, R., Rus, D., & Henzinger, T. A. (2021). Adversarial training is not ready for robot learning. In 2021 IEEE International Conference on Robotics and Automation (pp. 4140–4147). Xi’an, China. https://doi.org/10.1109/ICRA48506.2021.9561036 chicago: Lechner, Mathias, Ramin Hasani, Radu Grosu, Daniela Rus, and Thomas A Henzinger. “Adversarial Training Is Not Ready for Robot Learning.” In 2021 IEEE International Conference on Robotics and Automation, 4140–47. ICRA, 2021. https://doi.org/10.1109/ICRA48506.2021.9561036. ieee: M. Lechner, R. Hasani, R. Grosu, D. Rus, and T. A. Henzinger, “Adversarial training is not ready for robot learning,” in 2021 IEEE International Conference on Robotics and Automation, Xi’an, China, 2021, pp. 4140–4147. ista: 'Lechner M, Hasani R, Grosu R, Rus D, Henzinger TA. 2021. Adversarial training is not ready for robot learning. 2021 IEEE International Conference on Robotics and Automation. ICRA: International Conference on Robotics and AutomationICRA, 4140–4147.' mla: Lechner, Mathias, et al. “Adversarial Training Is Not Ready for Robot Learning.” 2021 IEEE International Conference on Robotics and Automation, 2021, pp. 4140–47, doi:10.1109/ICRA48506.2021.9561036. short: M. Lechner, R. Hasani, R. Grosu, D. Rus, T.A. Henzinger, in:, 2021 IEEE International Conference on Robotics and Automation, 2021, pp. 4140–4147. conference: end_date: 2021-06-05 location: Xi'an, China name: 'ICRA: International Conference on Robotics and Automation' start_date: 2021-05-30 date_created: 2022-01-25T15:44:54Z date_published: 2021-01-01T00:00:00Z date_updated: 2023-08-17T06:58:38Z ddc: - '000' department: - _id: GradSch - _id: ToHe doi: 10.1109/ICRA48506.2021.9561036 external_id: arxiv: - '2103.08187' isi: - '000765738803040' has_accepted_license: '1' isi: 1 language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/3.0/ main_file_link: - open_access: '1' url: https://arxiv.org/abs/2103.08187 oa: 1 oa_version: None page: 4140-4147 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 2021 IEEE International Conference on Robotics and Automation publication_identifier: eisbn: - 978-1-7281-9077-8 eissn: - 2577-087X isbn: - 978-1-7281-9078-5 issn: - 1050-4729 publication_status: published quality_controlled: '1' related_material: record: - id: '11362' relation: dissertation_contains status: public series_title: ICRA status: public title: Adversarial training is not ready for robot learning tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) short: CC BY-NC-ND (3.0) type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 year: '2021' ... --- _id: '10711' abstract: - lang: eng text: In this paper, we investigate the distribution of the maximum of partial sums of families of m -periodic complex-valued functions satisfying certain conditions. We obtain precise uniform estimates for the distribution function of this maximum in a near-optimal range. Our results apply to partial sums of Kloosterman sums and other families of ℓ -adic trace functions, and are as strong as those obtained by Bober, Goldmakher, Granville and Koukoulopoulos for character sums. In particular, we improve on the recent work of the third author for Birch sums. However, unlike character sums, we are able to construct families of m -periodic complex-valued functions which satisfy our conditions, but for which the Pólya–Vinogradov inequality is sharp. acknowledgement: We would like to thank the anonymous referees for carefully reading the paper and for their remarks and suggestions. article_processing_charge: No article_type: original author: - first_name: Pascal full_name: Autissier, Pascal last_name: Autissier - first_name: Dante full_name: Bonolis, Dante id: 6A459894-5FDD-11E9-AF35-BB24E6697425 last_name: Bonolis - first_name: Youness full_name: Lamzouri, Youness last_name: Lamzouri citation: ama: Autissier P, Bonolis D, Lamzouri Y. The distribution of the maximum of partial sums of Kloosterman sums and other trace functions. Compositio Mathematica. 2021;157(7):1610-1651. doi:10.1112/s0010437x21007351 apa: Autissier, P., Bonolis, D., & Lamzouri, Y. (2021). The distribution of the maximum of partial sums of Kloosterman sums and other trace functions. Compositio Mathematica. Cambridge University Press. https://doi.org/10.1112/s0010437x21007351 chicago: Autissier, Pascal, Dante Bonolis, and Youness Lamzouri. “The Distribution of the Maximum of Partial Sums of Kloosterman Sums and Other Trace Functions.” Compositio Mathematica. Cambridge University Press, 2021. https://doi.org/10.1112/s0010437x21007351. ieee: P. Autissier, D. Bonolis, and Y. Lamzouri, “The distribution of the maximum of partial sums of Kloosterman sums and other trace functions,” Compositio Mathematica, vol. 157, no. 7. Cambridge University Press, pp. 1610–1651, 2021. ista: Autissier P, Bonolis D, Lamzouri Y. 2021. The distribution of the maximum of partial sums of Kloosterman sums and other trace functions. Compositio Mathematica. 157(7), 1610–1651. mla: Autissier, Pascal, et al. “The Distribution of the Maximum of Partial Sums of Kloosterman Sums and Other Trace Functions.” Compositio Mathematica, vol. 157, no. 7, Cambridge University Press, 2021, pp. 1610–51, doi:10.1112/s0010437x21007351. short: P. Autissier, D. Bonolis, Y. Lamzouri, Compositio Mathematica 157 (2021) 1610–1651. date_created: 2022-02-01T08:10:43Z date_published: 2021-06-28T00:00:00Z date_updated: 2023-08-17T06:59:16Z day: '28' department: - _id: TiBr doi: 10.1112/s0010437x21007351 external_id: arxiv: - '1909.03266' isi: - '000667289300001' intvolume: ' 157' isi: 1 issue: '7' keyword: - Algebra and Number Theory language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1909.03266 month: '06' oa: 1 oa_version: Preprint page: 1610-1651 publication: Compositio Mathematica publication_identifier: eissn: - 1570-5846 issn: - 0010-437X publication_status: published publisher: Cambridge University Press quality_controlled: '1' status: public title: The distribution of the maximum of partial sums of Kloosterman sums and other trace functions type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 157 year: '2021' ...