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Spacetime duality between localization transitions and measurement-induced transitions

PRX quantum, 2021-10, Vol.2 (4), p.040319, Article 040319

2021

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Detecting Topological Order at Finite Temperature Using Entanglement Negativity

Physical review letters, 2020-09, Vol.125 (11), p.1, Article 116801

2020

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Entanglement Renyi Negativity across a Finite Temperature Transition: A Monte Carlo study

Physical review letters, 2020-09, Vol.125 (14), p.140603-140603, Article 140603

2020

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Measurement as a Shortcut to Long-Range Entangled Quantum Matter

PRX quantum, 2022-12, Vol.3 (4), p.040337, Article 040337

2022

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Entanglement Negativity and Mutual Information after a Quantum Quench: Exact Link from Space-Time Duality

Physical review letters, 2022-09, Vol.129 (14), p.140503-140503, Article 140503

2022

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DbPTM 3.0: an informative resource for investigating substrate site specificity and functional association of protein post-translational modifications

Nucleic acids research, 2013-01, Vol.41 (Database issue), p.D295

2013

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Feasibility Study of Cement Modified Mastic Emulsified Asphalt Concrete

Journal of physics. Conference series, 2020-07, Vol.1578 (1), p.12227

2020

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SNOSite: exploiting maximal dependence decomposition to identify cysteine S-nitrosylation with substrate site specificity

PloS one, 2011-07, Vol.6 (7), p.e21849-e21849

2011

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GSHSite: exploiting an iteratively statistical method to identify s-glutathionylation sites with substrate specificity

PloS one, 2015-04, Vol.10 (4), p.e0118752-e0118752

2015

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Mixed-State Long-Range Order and Criticality from Measurement and Feedback

PRX quantum, 2023-08, Vol.4 (3), p.030318, Article 030318

2023

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Renyi entropy of chaotic eigenstates

Physical review. E, 2019-03, Vol.99 (3-1), p.032111-032111, Article 032111

2019

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Exploiting maximal dependence decomposition to identify conserved motifs from a group of aligned signal sequences

Bioinformatics, 2011-07, Vol.27 (13), p.1780-1787

2011

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PlantPhos: using maximal dependence decomposition to identify plant phosphorylation sites with substrate site specificity

BMC bioinformatics, 2011-06, Vol.12 (1), p.261-261, Article 261

2011

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Identifying protein phosphorylation sites with kinase substrate specificity on human viruses

PloS one, 2012-07, Vol.7 (7), p.e40694-e40694

2012

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Singularity in entanglement negativity across finite-temperature phase transitions

Physical review. B, 2019-02, Vol.99 (7), p.075157, Article 075157

2019

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Entanglement transitions as a probe of quasiparticles and quantum thermalization

Physical review. B, 2020-12, Vol.102 (23), p.1, Article 235110

2020

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An Intelligent System for Identifying Acetylated Lysine on Histones and Nonhistone Proteins

BioMed research international, 2014-01, Vol.2014, p.528650-11

2014

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Anomalous localization in a kicked quasicrystal

Nature physics, 2024-03, Vol.20 (3), p.409-414

2024

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dbGSH: a database of S-glutathionylation

Bioinformatics (Oxford, England), 2014-08, Vol.30 (16), p.2386-2388

2014

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RegPhos 2.0: an updated resource to explore protein kinase-substrate phosphorylation networks in mammals

Database : the journal of biological databases and curation, 2014, Vol.2014, p.bau034-bau034

2014

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SOHSite: incorporating evolutionary information and physicochemical properties to identify protein S-sulfenylation sites

BMC genomics, 2016-01, Vol.17 Suppl 1 (S1), p.9-9, Article 9

2016

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dbSNO 2.0: a resource for exploring structural environment, functional and disease association and regulatory network of protein S-nitrosylation

Nucleic acids research, 2015-01, Vol.43 (Database issue), p.D503

2015

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Investigation and identification of protein γ-glutamyl carboxylation sites

BMC bioinformatics, 2011-11, Vol.12 Suppl 13 (S13), p.S10-S10, Article S10

2011

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MDD-SOH: exploiting maximal dependence decomposition to identify S-sulfenylation sites with substrate motifs

Bioinformatics (Oxford, England), 2016-01, Vol.32 (2), p.165-172

2016

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A two-layered machine learning method to identify protein O-GlcNAcylation sites with O-GlcNAc transferase substrate motifs

BMC bioinformatics, 2015-12, Vol.16 Suppl 18 (S18), p.S10-S10, Article S10

2015

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Spacetime duality between localization transitions and measurement-induced transitions

Detecting Topological Order at Finite Temperature Using Entanglement Negativity

Entanglement Renyi Negativity across a Finite Temperature Transition: A Monte Carlo study

Measurement as a Shortcut to Long-Range Entangled Quantum Matter

Entanglement Negativity and Mutual Information after a Quantum Quench: Exact Link from Space-Time Duality

DbPTM 3.0: an informative resource for investigating substrate site specificity and functional association of protein post-translational modifications

Feasibility Study of Cement Modified Mastic Emulsified Asphalt Concrete

SNOSite: exploiting maximal dependence decomposition to identify cysteine S-nitrosylation with substrate site specificity

GSHSite: exploiting an iteratively statistical method to identify s-glutathionylation sites with substrate specificity

Mixed-State Long-Range Order and Criticality from Measurement and Feedback

Renyi entropy of chaotic eigenstates

Exploiting maximal dependence decomposition to identify conserved motifs from a group of aligned signal sequences

PlantPhos: using maximal dependence decomposition to identify plant phosphorylation sites with substrate site specificity

Identifying protein phosphorylation sites with kinase substrate specificity on human viruses

Singularity in entanglement negativity across finite-temperature phase transitions

Entanglement transitions as a probe of quasiparticles and quantum thermalization

An Intelligent System for Identifying Acetylated Lysine on Histones and Nonhistone Proteins

Anomalous localization in a kicked quasicrystal

dbGSH: a database of S-glutathionylation

RegPhos 2.0: an updated resource to explore protein kinase-substrate phosphorylation networks in mammals

SOHSite: incorporating evolutionary information and physicochemical properties to identify protein S-sulfenylation sites

dbSNO 2.0: a resource for exploring structural environment, functional and disease association and regulatory network of protein S-nitrosylation

Investigation and identification of protein γ-glutamyl carboxylation sites

MDD-SOH: exploiting maximal dependence decomposition to identify S-sulfenylation sites with substrate motifs

A two-layered machine learning method to identify protein O-GlcNAcylation sites with O-GlcNAc transferase substrate motifs

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