List of Contributors xv Notes on Contributors xxi Preface xxxi 1 Introduction to Quantum Biosensing: A New Frontier in Diagnostics 1 Jyotirmayee Sahoo, Muneshwar Harsha Vardhan, Nireekshana Nandigam, and Sonu Gandhi 1.1 Introduction 1 1.2 Foundations of Quantum Mechanics in Biosensing 4 1.2.1 Basics of Biosensing Technologies 4 1.2.2 Principles of Quantum Mechanics 6 1.2.

2.1 Quantum Superpositions 6 1.2.2.2 Entanglement 7 1.2.2.3 Quantum Tunneling 7 1.

2.3 Technological Components of Quantum Biosensing 7 1.2.3.1 Quantum Dots 8 1.2.3.2 Nitrogen-Vacancy (NV) Centers in Diamonds 9 1.

2.3.3 Quantum Photonics and Light-Matter Interaction 10 1.3 Applications of Quantum Biosensing in Diagnostics 10 1.3.1 Fluorescent Probes in Medical Diagnostics 11 1.3.2 Applications of Quantum Biosensing in Oncology 11 1.

3.3 Quantum Biosensors for Cardiovascular Disease Detection 13 1.3.4 Quantum Biosensing in Infectious Disease Diagnostics 13 1.3.5 Nanoparticles in Quantum Biosensing 15 1.3.6 Quantum Optical Sensors for Biomedical Applications 15 1.

4 Role of Artificial Intelligence in Quantum Biosensing 18 1.5 Conclusion 20 Acknowledgments 20 References 21 2 Quantum Dots: Fluorescent Probes in Medical Diagnostics 29 Balamurugan Arumugam, Po-Ling Chang, Sathish Kumar Ponnaiah, and Sayee Kannan Ramaraj 2.1 Introduction 29 2.2 Properties of Quantum Dots (QDs) 30 2.2.1 Key Requirements for Applying QDs in Medicine 31 2.3 Methods of Synthesis of Quantum Dots 33 2.3.

1 Colloidal Chemistry 33 2.3.2 Organometallic Method 34 2.3.3 Aqueous Phase Method 34 2.3.4 Epitaxial Growth 35 2.3.

5 Lithography 35 2.3.6 Eco-Friendly Synthesis 35 2.3.7 Electrochemical Methods 36 2.4 Quantum Dots in Medical Diagnostics 36 2.4.1 Imaging Applications 37 2.

4.1.1 Real-Time Cellular Imaging and Intracellular Tracking 37 2.4.1.2 Forster Resonance Energy Transfer (FRET) with QDs 37 2.4.2 Biomarker Detection 38 2.

4.2.1 Cancer Biomarkers and Tumor-Specific Antigen Detection 38 2.4.2.2 Role in Infectious Disease Diagnostics 39 2.4.2.

3 Use of QDs for Simultaneous Detection of Multiple Analytes 40 2.4.3 Multiplexed Diagnostic Platforms 41 2.4.3.1 Use of QDs for Simultaneous Recognition of Various Analytes 41 2.5 Recent Advancements and Emerging Trends 42 2.5.

1 Development of QD-Based Biosensors 42 2.5.2 Integration with Other Nanomaterials 43 2.5.2.1 Graphene and Graphene Quantum Dots (GQDs) 43 2.5.2.

2 Gold-Graphene Nanocomposites 43 2.5.2.3 Plasmonic-Quantum Dot Hybrids 43 2.5.2.4 SERS and Multimodal Platforms 43 2.5.

3 Role of AI and ML in QD-Based Diagnostics 44 2.6 Conclusion and Future Perspectives 44 References 45 3 Single-Molecule Detection with Quantum Biosensors 53 Jayeeta Chattopadhyay and Tara Sankar Pathak 3.1 Introduction 53 3.2 Fundamental Principles of Quantum Biosensing for Single-Molecule Detection 54 3.2.1 Quantum Confinement 54 3.2.2 Quantum Properties for Enhanced Sensing 54 3.

2.2.1 Superposition and Quantum Coherence 54 3.2.2.2 Entanglement 54 3.2.2.

3 Quantum Noise Reduction 55 3.2.3 Transduction Mechanisms 55 3.2.3.1 Optical Transduction 55 3.2.3.

2 Electronic Transduction 55 3.3 Types of Quantum Biosensors for Single-Molecule Detection 56 3.3.1 Quantum Dots (QDs)-Based Biosensors 56 3.3.1.1 Properties and Synthesis Methods 56 3.3.

1.2 Integration into Biosensors 56 3.3.1.3 Recent Breakthroughs in QD Sensors 56 3.3.2 Nitrogen-Vacancy (NV) Centers in Diamond 57 3.3.

2.1 Properties and Development for Magnetic Quantum Sensing 57 3.3.2.2 Breakthroughs in Integrating NV Centers into Living Cells 57 3.3.2.3 New Techniques Using Nanodiamonds in Microdroplets 57 3.

3.3 Superconducting Qubits 58 3.3.3.1 Principles of Superconducting Qubits 58 3.3.3.2 Recent Advances in Single-Molecule Sensing with Superconducting Qubits 58 3.

4 Advantages of Quantum Biosensors for Single-Molecule Detection 58 3.4.1 Unprecedented Sensitivity and Resolution 59 3.4.1.1 Beyond Classical Limits 59 3.4.1.

2 Digital Readout and Molecular Counting 59 3.4.1.3 Real-Time and Continuous Monitoring 59 3.4.2 Noninvasiveness and Biocompatibility 59 3.4.2.

1 Low Light Levels and Minimal Sample Damage 59 3.4.2.2 Integration into Biological Systems 60 3.4.3 Ability to Uncover Hidden Molecular Properties 60 3.4.3.

1 Heterogeneity and Stochastic Variability 60 3.4.3.2 Rare Event Detection 60 3.5 Applications of Single-Molecule Detection with Quantum Biosensors 60 3.5.1 Biomedical and Clinical Diagnostics 61 3.5.

1.1 Early Disease Diagnosis and Personalized Medicine 61 3.5.1.2 Drug Discovery and Neuroscience Research 61 3.5.1.3 Detection of Pathogens and Biomarkers in Bodily Fluids 61 3.

5.2 Environmental Monitoring and Food Safety 61 3.5.2.1 Detection of Contaminants 61 3.5.3 Materials Science and Fundamental Research 62 3.5.

3.1 Characterization of Quantum Materials 62 3.5.3.2 Probing Molecular Dynamics and Interactions 62 3.6 Challenges and Limitations 62 3.6.1 Fabrication and Integration Complexities 63 3.

6.1.1 Material Immobilization and Contamination 63 3.6.1.2 Miniaturization and Cost 63 3.6.1.

3 Debye Screening Effect in Physiological Solutions 63 3.6.2 Signal Processing and Data Analysis 63 3.6.2.1 Low Signal-to-Noise Ratio in Complex Samples 63 3.6.2.

2 Quantum State Reconstruction Challenges 64 3.6.2.3 Decoherence and Environmental Interference 64 3.6.3 Toxicity and Biocompatibility (For Certain QDs) 64 3.7 Conclusion 64 References 65 4 Photonic Quantum Sensors: Light-Based Diagnostic Tools 69 Monima Sarma and Tanmay Chatterjee 4.1 Introduction 69 4.

2 Various Light-Based Diagnostic Tools and Technologies 70 4.2.1 Quantum Interferometers 70 4.2.1.1 HOM Interferometers 70 4.2.1.

2 N00N State Interferometers 74 4.2.1.3 Franson Interferometers 77 4.2.2 Squeezed Light Interferometers 83 4.2.3 Quantum Magnetometers 84 4.

2.4 Quantum-Enabled Imaging Tools and Techniques 85 4.3 Conclusion 87 References 87 5 Quantum Resonance Imaging: A New Era in Medical Imaging 95 Dhivya Antony, Arasan Saroja Anakath, Pandurangan Anandan, and Chinnapiyan Vedhi 5.1 Introduction 95 5.1.1 Background of Quantum Resonance Imaging with Traditional MRI 96 5.1.2 Technological Review on Magnetic Resonance Imaging (MRI) 96 5.

1.3 Relation Between QRI and MRI 98 5.2 Quantum Resonance Imaging 99 5.2.1 Discovery of Quantum Resonance Imaging 99 5.2.2 Development of Quantum Resonance Imaging (QRI) 99 5.2.

3 The Science Behind Quantum Resonance Imaging 100 5.3 Advance Technologies in Quantum Resonance Imaging 101 5.4 QRI in Medical and Healthcare Applications 102 5.4.1 Disease Diagnosis and Early Detection 102 5.4.2 Brain and Neurological Imaging 103 5.4.

3 Regenerative Medicine and Tissue Engineering 104 5.4.4 Personalized Medicine 104 5.4.5 Cancer Treatment and Monitoring 105 5.5 Advantages of QRI 105 5.6 Challenges of QRI 105 5.7 Future Prospects of QRI 106 5.

8 Conclusion 106 References 107 6 Applications of Quantum Biosensing in Oncology 111 Hülya Silah and Bengi Uslu 6.1 Introduction 111 6.2 Quantum Dots and Their Unique Physicochemical Properties 113 6.3 Quantum Dots in Oncology: Advanced Applications in Electrochemical Biosensing 115 6.4 Conclusion 122 References 123 7 Quantum Biosensors for Cardiovascular Disease Detection 129 Seydanur Yücer, Begüm Sarac, and Fatih Ciftci 7.1 Introduction 129 7.2 Cardiovascular Diseases: Current Diagnostic Challenges 130 7.2.

1 Common Types of Cardiovascular Diseases 130 7.2.1.1 Coronary Artery Disease (CAD) 130 7.2.1.2 High Blood Pressure (Hypertension) 130 7.2.

1.3 Heart Failure 130 7.2.1.4 Arrhythmia (Irregular Heartbeat) 131 7.2.1.5 Peripheral Artery Disease (PAD) 131 7.

2.1.6 Heart Valve Diseases 131 7.2.1.7 Aortic Aneurysm 132 7.2.2 Traditional Diagnostic Methods and Their Limitations 132 7.

2.3 Need for More Sensitive and Rapid Detection 133 7.3 Quantum Biosensors: Principles and Mechanisms 134 7.3.1 Fundamental Quantum Concepts 134 7.3.2 Sensing Elements and Working Mechanisms of Quantum Biosensors 135 7.3.

2.1 Nitrogen-Vacancy (NV) Centers in Diamonds 135 7.3.2.2 Quantum Dots 135 7.3.2.3 Spin and Magnetic Sensing 136 7.

3.2.4 Optical Detection 137 7.3.3 Comparison with Conventional Biosensors 137 7.4 Design and Functionality of Quantum Biosensors for Cardiovascular Biomarkers 139 7.4.1 Key Cardiovascular Biomarkers for Detection 139 7.

4.1.1 Troponin (TnC), (TnI), (TnT) 139 7.4.1.2 B-type Natriuretic Peptide (BNP) 139 7.4.1.

3 High-Sensitivity C-Reactive Protein (hs-CRP) 139 7.4.1.4 Myoglobin 140 7.4.1.5 Creatine Kinase-MB (CK-MB) 140 7.4.

2 Quantum Materials and Detection Techniques 140 7.4.2.1 Quantum Materials 140 7.4.2.2 Detection Techniques 143 7.4.

3 Wearable and Implantable Quantum Biosens.