---
_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'
...