"Diagnosis is not the end, but the beginning of practice" - Martin H. Fischer
ChemicalQDeviceGenerativeArtificialIntelligence#genai, #llms, and #tensornetworks
Recent ResultsAbout ChemicalQDevice
Drug Discovery Generative AI: GPT, BERTExplainability: Tensor Network, Neural Network
How to Code LLMs with Tensor NetworksLLM Explainability with Tensor NetworksTensor Networks vs. PCA and PLS
Tensor Network, Neural Network, or HybridTensor Network Developer RevolutionFDA GMLP Guidelines; and Practical QiML 2.0
QiML 2.0 Speed-Ups, Scalability, Performance, New EraThe Practical Era of QiML 2.0 for HealthcareSurpassing the Competition with 3 QiML Frameworks
Appreciably Better Quantum-inspired Processing vs. FieldMedical Quantum-inspired ML Software Migration SeminarMedical Quantum-inspired ML Software Migration
Quantum Algorithm Time Complexity AnalysisInnovation by ChemicalQDeviceEffective QML Algorithms for Medical R&D
Quantum ML Algorithms for Medical School ResearchEfficiency Metrics: Single vs. Parallel QML Algorithms QML Parameters for Breakthrough Parallel Algorithms
Quantum Algorithms & Parallel Architectures New ResultsHow to Conduct Medical R&D with QiML AlgorithmsParallel Quantum Algorithms Innovation PyTorch, Keras
Advanced PyTorch, Keras Deep Learning with QML/QiMLNIH Developer Seminar: PennyLane, GPUs, and QiMLAdvanced Benchmarking/Efficiency; PennyLane QML/QiML
38 Qiskit, PennyLane QML/QiML DemosDeep Learning with Quantum and Classical ParametersQML/QiML for Medical Regulatory Agency Review
QiML Algorithm Architecture R&D; New UtilitiesThe Shift Towards a Healthy QiML Industry
Kernel Based Training of Quantum ModelsNew 2023 FDA Annual Approvals; QiML Applications
FDA AI/ML Medical Device Guidelines; Potential QMLAll IBM Qiskit Machine Learning Tutorials Seminar Specific QiML Algorithms for Medical R&D Applications
Data-Reuploading, Quantum Universal Classifier R&DQuantum Parameter Study for Quantum Inspired Machine LearningHow to Select the Correct QML Loss Function and Optimizer
Discussion: Potential Quantum Radiomics ML WorkflowsBenchmarking Quantum Machine Learning DevicesQuantum ML Algorithms Historical Perspective
100 Coding Tips for Qiskit, Cirq, or PennyLane, a Special Event100 Resources for Medical QML Software Developers Python PyTorch Quantum ML Ports/Models for Potential Medical Use
All PennyLane Python Quantum Machine Learning Demos SeminarHow to Succeed in PennyLane Library: For Medical DevelopersQuantum Inspired ML, Potential New FDA Submissions
Time, Cost, Efficiency: ResNet Quantum TL, TL ModelsQuantum ML Developer UpdatesStartup Tables Research & Development
Quantum ML Algorithms Prototyping for NeuroradiologyQuantum Algorithms Prototyping for Neuroradiology44 Class Classification Quantum TL vs. 3 Classical Models
Embedding Medical Data into Quantum Computing AlgorithmsChemicalQDevice Quantum Medical Image Analysis PlatformQuantum Computing Developments for Healthcare
Fireside Chat April 13th, 2023Medical Industry Quantum Algorithms ForecastMinimum Viable Product Iteration Ten
ChemicalQDevice June 2023 R&D UpdateChemicalQDevice May 2023 R&D UpdateChemicalQDevice Apr 2023 R&D Update
QML Platform Benefits: Qiskit QML, Pennylane..QML Advantages for Medical: Qiskit, Pennylane..Quantum Computers and Simulators for Healthcare
MIT and Google QML Platforms Medical ImagesOpen Discussion-Quantum and Medical Imaging Radiology
Optimizing Quantum Parameters for Better ResultsExisting Quantum Computing Advantages, NeuroimagesNext Steps in Quantum Computing and Neuroradiology
Demo Quantum Classical Hybrid Code; NeuroradiologyQuantum Algorithm Advancements for RadiologyLive Demo: Brain Algorithms Design, Hybrid
Advancing Quantum Algorithms, NeuroradiologyNext Gen Neuroradiology Algorithms, InsightIncorporation of New Quantum Frameworks
FDA Radiology and Quantum AlgorithmsBrain Disorders and Quantum ComputingDeveloping New Quantum Neural Networks
Ion Trap for Radiology AdvancementsQuantum Programming for NeuroradiologyQuantum Coding Advantages: Neuroradiology
QML Neuroradiology (QMLN) InnovationAlzheimer's Disease Neuroradiology, QuantumTrapped Ion Quantum Computers for Neuroradiology
2023 President's Quantum Initiative SummaryQuantum Neuroimaging Industry, Alzheimer’sQuantum Computing and Medical Industry Results
Washington D.C. Quantum Efforts, NeuroimagingTowards a New Quantum Era in HealthcareFDA AI/ML Approvals, Basis for QNN Neuroimaging
Apple Healthcare AI, and QMLN OpportunitiesAI in Imaging, Framework for New Quantum EraMultimodal Neuroimaging, and QML for Alzheimer’s
ChemicalQDevice Year End Summary - 2022Welcome to ChemicalQDevice Holidays 2022Alzheimer’s QML - Neuroimaging & other Biomarkers
Explainable Neuroimaging AI/ML for FDA; Prospective QMLQML, and Neuroimaging AI/ML Alzheimer's PredictionQuantum Machine Learning Neuroimaging
Classification & QML Neuroimaging for Alzheimer’s PredictionQML Product Development for Neuroimaging/Alzheimer’sPre-existing Alzheimer's Neuroimages and QML Prediction
FDA 510(k)/De Novo & QML Neuroimaging: Alzheimer’sImage Classification, MRI PET for AD Drug Clinical TrialsAI/ML in Medical Imaging, and Quantum ML
FDA and Regulation factors for Upcoming QMLProspective FDA approval factors for Healthcare QMLQML Neuroimaging Clinical Implementation Factors
A New Quantum Era in HealthcareThe Case for Quantum Machine Learning NeuroimagingTransitioning from ML to Hybrid QML in Neuroimaging
QML, QGANs, and QFL for NeuroimagingChemicalQDevice Annual Update
QMLN for Alzheimer'sQuantum Neuroimage Processing/QML
QMLN OutlineQuantum MachineLearning Neuroimaging
Quantum AI NeuroimagingWeekly Newsletter YouTubeQuantum Neuroimaging Outline
About ContactSpecial Speakers LinkedIn FacebookInstagram Twitter
“Technologies based on the fundamental properties of quantum mechanics will revolutionize industries” - Forbes
Created by Kevin Kawchak Founder CEO ChemicalQDevice2024 San Diego, CaliforniaHealthcare Innovation
ChemicalQDeviceGenerativeArtificialIntelligence#genai, #llms, and #tensornetworks
Recent ResultsAbout ChemicalQDevice
Drug Discovery Generative AI: GPT, BERTExplainability: Tensor Network, Neural Network
How to Code LLMs with Tensor NetworksLLM Explainability with Tensor NetworksTensor Networks vs. PCA and PLS
Tensor Network, Neural Network, or HybridTensor Network Developer RevolutionFDA GMLP Guidelines; and Practical QiML 2.0
QiML 2.0 Speed-Ups, Scalability, Performance, New EraThe Practical Era of QiML 2.0 for HealthcareSurpassing the Competition with 3 QiML Frameworks
Appreciably Better Quantum-inspired Processing vs. FieldMedical Quantum-inspired ML Software Migration SeminarMedical Quantum-inspired ML Software Migration
Quantum Algorithm Time Complexity AnalysisInnovation by ChemicalQDeviceEffective QML Algorithms for Medical R&D
Quantum ML Algorithms for Medical School ResearchEfficiency Metrics: Single vs. Parallel QML Algorithms QML Parameters for Breakthrough Parallel Algorithms
Quantum Algorithms & Parallel Architectures New ResultsHow to Conduct Medical R&D with QiML AlgorithmsParallel Quantum Algorithms Innovation PyTorch, Keras
Advanced PyTorch, Keras Deep Learning with QML/QiMLNIH Developer Seminar: PennyLane, GPUs, and QiMLAdvanced Benchmarking/Efficiency; PennyLane QML/QiML
38 Qiskit, PennyLane QML/QiML DemosDeep Learning with Quantum and Classical ParametersQML/QiML for Medical Regulatory Agency Review
QiML Algorithm Architecture R&D; New UtilitiesThe Shift Towards a Healthy QiML Industry
Kernel Based Training of Quantum ModelsNew 2023 FDA Annual Approvals; QiML Applications
FDA AI/ML Medical Device Guidelines; Potential QMLAll IBM Qiskit Machine Learning Tutorials Seminar Specific QiML Algorithms for Medical R&D Applications
Data-Reuploading, Quantum Universal Classifier R&DQuantum Parameter Study for Quantum Inspired Machine LearningHow to Select the Correct QML Loss Function and Optimizer
Discussion: Potential Quantum Radiomics ML WorkflowsBenchmarking Quantum Machine Learning DevicesQuantum ML Algorithms Historical Perspective
100 Coding Tips for Qiskit, Cirq, or PennyLane, a Special Event100 Resources for Medical QML Software Developers Python PyTorch Quantum ML Ports/Models for Potential Medical Use
All PennyLane Python Quantum Machine Learning Demos SeminarHow to Succeed in PennyLane Library: For Medical DevelopersQuantum Inspired ML, Potential New FDA Submissions
Time, Cost, Efficiency: ResNet Quantum TL, TL ModelsQuantum ML Developer UpdatesStartup Tables Research & Development
Quantum ML Algorithms Prototyping for NeuroradiologyQuantum Algorithms Prototyping for Neuroradiology44 Class Classification Quantum TL vs. 3 Classical Models
Embedding Medical Data into Quantum Computing AlgorithmsChemicalQDevice Quantum Medical Image Analysis PlatformQuantum Computing Developments for Healthcare
Fireside Chat April 13th, 2023Medical Industry Quantum Algorithms ForecastMinimum Viable Product Iteration Ten
ChemicalQDevice June 2023 R&D UpdateChemicalQDevice May 2023 R&D UpdateChemicalQDevice Apr 2023 R&D Update
QML Platform Benefits: Qiskit QML, Pennylane..QML Advantages for Medical: Qiskit, Pennylane..Quantum Computers and Simulators for Healthcare
MIT and Google QML Platforms Medical ImagesOpen Discussion-Quantum and Medical Imaging Radiology
Optimizing Quantum Parameters for Better ResultsExisting Quantum Computing Advantages, NeuroimagesNext Steps in Quantum Computing and Neuroradiology
Demo Quantum Classical Hybrid Code; NeuroradiologyQuantum Algorithm Advancements for RadiologyLive Demo: Brain Algorithms Design, Hybrid
Advancing Quantum Algorithms, NeuroradiologyNext Gen Neuroradiology Algorithms, InsightIncorporation of New Quantum Frameworks
FDA Radiology and Quantum AlgorithmsBrain Disorders and Quantum ComputingDeveloping New Quantum Neural Networks
Ion Trap for Radiology AdvancementsQuantum Programming for NeuroradiologyQuantum Coding Advantages: Neuroradiology
QML Neuroradiology (QMLN) InnovationAlzheimer's Disease Neuroradiology, QuantumTrapped Ion Quantum Computers for Neuroradiology
2023 President's Quantum Initiative SummaryQuantum Neuroimaging Industry, Alzheimer’sQuantum Computing and Medical Industry Results
Washington D.C. Quantum Efforts, NeuroimagingTowards a New Quantum Era in HealthcareFDA AI/ML Approvals, Basis for QNN Neuroimaging
Apple Healthcare AI, and QMLN OpportunitiesAI in Imaging, Framework for New Quantum EraMultimodal Neuroimaging, and QML for Alzheimer’s
ChemicalQDevice Year End Summary - 2022Welcome to ChemicalQDevice Holidays 2022Alzheimer’s QML - Neuroimaging & other Biomarkers
Explainable Neuroimaging AI/ML for FDA; Prospective QMLQML, and Neuroimaging AI/ML Alzheimer's PredictionQuantum Machine Learning Neuroimaging
Classification & QML Neuroimaging for Alzheimer’s PredictionQML Product Development for Neuroimaging/Alzheimer’sPre-existing Alzheimer's Neuroimages and QML Prediction
FDA 510(k)/De Novo & QML Neuroimaging: Alzheimer’sImage Classification, MRI PET for AD Drug Clinical TrialsAI/ML in Medical Imaging, and Quantum ML
FDA and Regulation factors for Upcoming QMLProspective FDA approval factors for Healthcare QMLQML Neuroimaging Clinical Implementation Factors
A New Quantum Era in HealthcareThe Case for Quantum Machine Learning NeuroimagingTransitioning from ML to Hybrid QML in Neuroimaging
QML, QGANs, and QFL for NeuroimagingChemicalQDevice Annual Update
QMLN for Alzheimer'sQuantum Neuroimage Processing/QML
QMLN OutlineQuantum MachineLearning Neuroimaging
Quantum AI NeuroimagingWeekly Newsletter YouTubeQuantum Neuroimaging Outline
About ContactSpecial Speakers LinkedIn FacebookInstagram Twitter
“Technologies based on the fundamental properties of quantum mechanics will revolutionize industries” - Forbes
Created by Kevin Kawchak Founder CEO ChemicalQDevice2024 San Diego, CaliforniaHealthcare Innovation