0000000000021711

AUTHOR

J. Almeida

showing 4 related works from this author

Frustrated quantum spin models with cold coulomb crystals

2011

We exploit the geometry of a zig-zag cold-ion crystal in a linear trap to propose the quantum simulation of a paradigmatic model of long-ranged magnetic frustration. Such a quantum simulation would clarify the complex features of a rich phase diagram that presents ferromagnetic, dimerized antiferromagnetic, paramagnetic, and floating phases, together with previously unnoticed features that are hard to assess by numerics. We analyze in detail its experimental feasibility, and provide supporting numerical evidence on the basis of realistic parameters in current ion-trap technology.

FOS: Physical sciencesGeneral Physics and AstronomyQuantum simulatorQuantum phases01 natural sciences010305 fluids & plasmasParamagnetismCondensed Matter - Strongly Correlated ElectronsQuantum mechanics0103 physical sciencesAtom010306 general physicsPhase diagramPhysicsQuantum PhysicsStrongly Correlated Electrons (cond-mat.str-el)Condensed matter physicsANNNI modelCondensed Matter - Other Condensed MatterFerromagnetismZigzagQuantum Gases (cond-mat.quant-gas)Condensed Matter::Strongly Correlated ElectronsQuantum Physics (quant-ph)Condensed Matter - Quantum GasesOther Condensed Matter (cond-mat.other)Physical Review Letters
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A26-5 Electrical performances of a 2MM2 steroid electrode

2003

business.industryPhysiology (medical)medicine.medical_treatmentElectrodemedicineCardiology and Cardiovascular MedicinebusinessSteroidBiomedical engineeringEP Europace
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Quantum magnetism of spin-ladder compounds with trapped-ion crystals

2012

Abstract The quest for experimental platforms that allow for the exploration, and even control, of the interplay of low dimensionality and frustration is a fundamental challenge in several fields of quantum many-body physics, such as quantum magnetism. Here, we propose the use of cold crystals of trapped ions to study a variety of frustrated quantum spin ladders. By optimizing the trap geometry, we show how to tailor the low dimensionality of the models by changing the number of legs of the ladders. Combined with a method for selectively hiding ions provided by laser addressing, it becomes possible to synthesize stripes of both triangular and Kagome lattices. Besides, the degree of frustrat…

Phase transitionMagnetismmedia_common.quotation_subjectGeneral Physics and AstronomyFrustrationFOS: Physical sciences01 natural sciencesIonenfalle010305 fluids & plasmasCondensed Matter - Strongly Correlated Electrons0103 physical sciencesTrapped ionsddc:530010306 general physicsSpin (physics)AnisotropyQuantummedia_commonPhysicsQuantum PhysicsCondensed matter physicsStrongly Correlated Electrons (cond-mat.str-el)DDC 530 / PhysicsANNNI modelQuantum Gases (cond-mat.quant-gas)Condensed Matter::Strongly Correlated ElectronsCondensed Matter - Quantum GasesQuantum Physics (quant-ph)Curse of dimensionalityNew Journal of Physics
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Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score

2021

The British journal of surgery 108(11), 1274-1292 (2021). doi:10.1093/bjs/znab183

Cuidado perioperatorioAcademicSubjects/MED00910Settore MED/18 - CHIRURGIA GENERALEMedizinpulmonary complicationspreoperative screeningDatasets as TopicSurgical Procedures Operative/mortality030230 surgeryperioperative care ; surgical procedures ; operative mortality ; machine learning ; sars-cov-2Medical and Health SciencesProcediments quirúrgicsCohort StudiesMachine LearningTumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14]0302 clinical medicineModelsProcedimientos quirúrgicosMedicine and Health SciencesCOVIDSurg Collaborative Co-authorsMedicine030212 general & internal medicineskin and connective tissue diseasesRapid Research Communication11 Medical and Health SciencesOperative/mortalitySARS-CoV-19COVID-19/mortalityStatisticalCOVID-19/mortality; Cohort Studies; Datasets as Topic; Humans; Machine Learning; Models Statistical; Risk Assessment; SARS-CoV-2; Surgical Procedures Operative/mortalityCOVID-19; Cohort Studies; Datasets as Topic; Humans; Machine Learning; SARS-CoV-2; Surgical Procedures Operative; Models Statistical; Risk AssessmentAprendizaje automáticoOperativeSurgical Procedures OperativeoutcomeOperativo[SDV.IB]Life Sciences [q-bio]/BioengineeringPatient SafetyAcademicSubjects/MED000106.4 SurgeryLife Sciences & BiomedicineHuman61medicine.medical_specialty616.9Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-.Risk AssessmentNOCOVIDSurg CollaborativeVaccine Related03 medical and health sciencesClinical ResearchBiodefenseCures perioperatòriesAprenentatge automàticMortalitatHumansOperatiusLS7_4Surgical ProceduresScience & TechnologyModels Statisticalbusiness.industrySARS-CoV-2SARS-CoV-2 infectionKirurgiPreventionnot indicatedcovid 19fungiEvaluation of treatments and therapeutic interventionsCOVID-19Perioperativecovid 19; pulmonary complications; postoperative mortality risk; SARS-CoV-2 infection; preoperative screening; vaccinationvaccinationmortalityGood Health and Well BeingMortalidadEmergency medicineSurgeryHuman medicineCohort Studiebusinesspostoperative mortality riskPerioperative care
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