Qalice
Journeying Through the Quantum Glass
Last updated
Journeying Through the Quantum Glass
Last updated
Revolutionizing Quantum Computation, Communication, Security, and Energy Transmission
Abstract
Introduction â2.1 Background and Motivation â2.2 Expanding the Scope: Energy Transmission and Optimization
Theoretical Framework â3.1 Quantum Mirroring â3.2 Photonics and Laser Pulse Interactions (LPIs) â3.3 Deformable Mirrors â3.4 Photonic Integrated Circuits (PICs) â3.5 Quantum Electrodynamics (QED)
Integration of Quantum Mirroring
Transmitters and Free Space Links (FSLs) â5.1 Quantum Transmitter (qTr) â5.2 Quantum Receiver (qRe) â5.3 Hybrid Quantum Receiver/Transmitter (qReTr) â5.4 Free Space Links (FSLs)
Energy-Based Laser Transmission and Distribution â6.1 Conversion of Energy into Photonic Beams â6.2 Advanced Materials, Waveguides, and Thermal Management â6.3 Receiver and Redistribution Networks â6.4 Integration of Quantum Control for Energy Beaming
Mathematical Models and Equations
Applications and Use Cases â8.1 Quantum Computing and Communication Enhancements â8.2 Global Energy Grid Modernization
Experimental Data, Resources, and Performance Metrics
Challenges, Safety, and Regulatory Considerations
Ethical and Societal Implications
Future Directions and Research Roadmap
Quantum for Quantitative and Qualitative Measures with Energy Resource Data Extraction â13.1 The QE3 Framework: Energy, Efficiency, and Economic Growth â13.2 QE3 Equation and Performance Metrics â13.3 Case Studies and Simulated Outcomes
Direct Energy Beams and Laser Power Transmission â14.1 Overview and Historical Context â14.2 Fundamental Principles of Laser Power Transmission â14.3 Advanced Materials and Waveguides for High-Power Laser Transmission â14.4 Direct Energy Beaming Architectures â14.5 Experimental Demonstrations and Metrics â14.6 Integration with Quantum Control Systems â14.7 Applications and Future Prospects â14.8 Economic and Environmental Considerations
Transforming the Energy Grid: Centralized Control and Decentralized, Off-Grid Solutions â15.1 Rethinking the Traditional Grid â15.2 Centralized Control of Energy Interaction â15.3 Decentralized and Off-Grid Solutions â15.4 Integration Strategies for a Modernized Energy Grid
Wireless Charging and Qi Wireless Energy Integration â16.1 Fundamentals of Qi Wireless Charging â16.2 Integration into the đē Qalice Hybrid Model â16.3 Technical Enhancements and Future Research
Conclusion
References
Appendices âAppendix A: Detailed Derivations for Quantum State Evolution, LaserâQubit Interactions, and Adaptive Optics Corrections âAppendix B: Experimental Setups, Raw Data, and Simulation Models for Free-Space and Fiber-Based Transmission Trials âAppendix C: Thermal Management Models for High-Power Waveguides and Comprehensive CostâBenefit Analyses
Author Biographies
Glossary
Note from the Founder:
I would like to extend my deepest gratitude to everyone who has supported and believed in me throughout this journey. A heartfelt thank you goes to my beloved Ericka and my family, whose unwavering support has been my constant source of inspiration and strength. The insights and experiences I have gathered, along with the extensive material research, have finally brought together the puzzle pieces that form đē Qaliceâa project designed to change the world for the better. I envision this as the dawn of a new era, one that empowers humanity and helps us thrive in a more decentralized, independent, sustainable, and innovative world. Let us journey on together no matter the challenges we face and come together to stand.
Quantum Mirroring and Energy Transformation: A New Frontier đē Qalice presents an integrated framework uniting quantum communication, computation, and security with next-generation energy transmission. By harnessing quantum mirroring, advanced photonics, and QED, the system establishes resilient quantum networks that convert renewable or conventional energy into high-power laser beams. These beams traverse long distances and are then captured by quantum receiverâtransmitter units which close the loop by converting the energy for local distribution via Qi wireless charging. Complemented by the QE3 modelâwhich optimizes energy efficiency, reduces environmental impact, and fosters economic growthâđē Qalice outlines a transformative pathway to modernize global power grids into adaptive, decentralized, and sustainable infrastructures.
Technological evolution has repeatedly redefined connectivity, from analog signals to quantum networks. Inspired by pioneering innovations such as Blackberryâs mobile revolution, đē Qalice embodies a paradigm shift by merging quantum mirroring with cutting-edge photonics. This integration significantly enhances secure data transmission while also addressing the critical inefficiencies of conventional energy systems.
Traditional power grids are hampered by centralized control, high transmission losses, and aging infrastructure. đē Qalice extends its capabilities to convert energy into coherent laser beamsâstabilized via quantum-enhanced feedbackâwhich are transmitted over long distances via free-space or optical waveguides. Upon reaching a quantum receiverâtransmitter unit, the energy is converted and then delivered locally through Qi wireless charging, creating a closed-loop system. Complementing these innovations, the QE3 model provides a quantitative framework to optimize efficiency, minimize environmental impact, and
Quantum mirroring employs a dynamic feedback loop that stabilizes qubit states, counteracting decoherence and preserving entanglement. Laboratory results demonstrate coherence enhancements by 2â5Ã, with mirror reflectivity targets exceeding 99.9%.
Key Metrics:
Coherence time improvements by factors of 2â5Ã (Nielsen & Chuang, 2010).
Target mirror reflectivity >99.9% to minimize photon loss.
LPIs provide precise control over photon states necessary for quantum operations and energy conversion. Using ultrashort pulses (femtosecond to picosecond), conversion efficiencies of ~70% have been achieved under laboratory conditions.
Experimental Data:
Pulse durations on the order of to seconds.
Conversion efficiencies around 70% in controlled laboratory conditions (Milonni & Eberly, 2010).
Deformable mirrors are critical for dynamically correcting optical aberrations in both quantum communication and high-power laser systems. They adjust their surface in real time to maintain optimal beam quality.
Performance:
Wavefront error corrections achieving residual errors below Îģ/20.
PICs integrate multiple optical functions on a single chip, achieving routing efficiencies above 95%, thereby reducing system complexity and enhancing performance.
Efficiency:
Routing and modulation efficiencies exceeding 95% (Scully & Zubairy, 1997).
QED models the fundamental interactions between light and matter, providing a theoretical foundation critical for both quantum network operations and the dynamics of high-power laser beams, with experimental results matching predictions within 1â2%.
Accuracy:
Experimental results typically match QED predictions within 1â2% error (Peskin & Schroeder, 1995).
By integrating quantum mirroring with PICs and QED, đēQalice achieves enhanced stabilization of quantum states, leading to improved data fidelity and robust laser beam control. Simulation models demonstrate that this integrated approach can improve coherence and beam stability by over 4Ã compared to traditional systems, providing a solid foundation for both secure quantum communication and precise energy transmission.
The qTr converts information into photonic signals using high-performance PICs and quantum mirrors. It achieves high photon generation rates (exceeding photons/second) with error rates maintained below , ensuring robust and efficient quantum data encoding.
The qRe decodes the transmitted photonic signals while preserving their quantum states. Utilizing integrated PICs and adaptive optics, the system achieves quantum bit error rates (QBER) below 2%, enabling accurate and secure data retrieval.
The qReTr is a versatile device that performs both transmission and reception. Its bidirectional functionality supports protocols like quantum teleportation and secure interactive communication, essential for dynamic network environments.
FSLs enable the transmission of quantum information through the atmosphere without physical cables. Advanced adaptive optics systems counteract atmospheric turbulence, with experimental trials demonstrating reliable transmission over distances up to 144 km.
Energy is converted from renewable or conventional sources into high-intensity laser beams using LPIs. The process is designed to maximize conversion efficiency while preserving beam quality.
Efficiency:
Laboratory systems currently achieve 60â70% conversion efficiency, with projections of up to 80% using advanced quantum control techniques..
Efficient high-power laser transmission requires materials that minimize absorption and manage heat effectively:
Hollow-Core Photonic Crystal Fibers: Reduce absorption by guiding most of the light in an air core.
Metallic/Dielectric Waveguides: Use high-reflectivity coatings combined with active cooling systems.
Crystalline Materials (e.g., Sapphire, Diamond): Offer superior thermal conductivity (diamond ~2000 W/mK) and high damage thresholds.
Active Cooling: Liquid or gas-cooling systems and segmented waveguide designs maintain operating temperatures below 150°C at power densities exceeding
Ground-based receivers convert laser energy back into electricity using systems such as:
Rectenna Arrays: Achieve conversion efficiencies of 50â60%.
Thermophotovoltaic Systems: Offer alternative conversion pathways with efficiencies of 30â40%. These receivers integrate with local microgrids to enable decentralized energy distribution, enhancing grid resilience and efficiency.
Quantum-enhanced feedback mechanisms ensure the stability and precision of high-power laser beams:
Quantum Sensors and Adaptive Optics: Provide real-time correction to maintain sub-micron alignment accuracy.
Dual-Use Infrastructure: Shared optical channels support both secure quantum data communication and efficient energy transmission, maximizing system utilization.
The following key equations underpin the đēQalice framework:
where is the beam radius at distance and is the beam waist.
where gg is the coupling constant, and are the photon creation and annihilation operators, and and are the qubit raising and lowering operators.
with representing temperature, the thermal diffusivity, and the heat generation term.
Further derivationsâincluding Zernike polynomial decompositions for adaptive opticsâare detailed in Appendix A.
Enhanced Qubit Stability: Extended coherence times facilitate more complex quantum computations.
Secure Communication: Quantum key distribution (QKD) and robust error-correction protocols ensure secure data exchange across global networks.
Real-Time Data Processing: The integration of quantum communication channels supports high-speed, secure information transfer.
Space-Based Solar Power: Satellite platforms can harness solar energy and transmit it via high-power lasers, potentially delivering gigawatts of power.
Decentralized Energy Distribution: Localized receivers integrated with microgrids reduce transmission losses and provide resilience against outages.
Industrial Applications: Remote industrial operations and emergency power systems benefit from rapid, secure energy delivery.
Quantum Platform Data: IBMâs Quantum Platform and Qiskit benchmarks provide coherence and error-correction performance metrics.
Free-Space Transmission Trials: Experimental setups have achieved quantum bit error rates below 2% over distances up to 144 km.
Thermal Testing: High-power waveguide tests demonstrate stable operation at power densities exceeding with active cooling.
Conversion Efficiency: Laboratory systems have demonstrated 65% efficiency, with quantum-enhanced systems projected to reach 80%.
Beam Stability: Adaptive optics reduce divergence by up to 50%, ensuring over 90% energy capture at the receiver.
Cost Savings and Emissions: Pilot studies indicate up to a 25% reduction in operational expenses and a 33% reduction in emissions compared to traditional systems..
(Refer to Appendices B and C for detailed datasets and simulations.)
Decoherence: Mitigating environmental noise to preserve quantum states.
Material Limitations: Developing materials that sustain high power without degradation.
Integration: Bridging novel optical infrastructures with legacy grid systems.
Laser Safety: Ensuring high-power lasers are operated with stringent safety protocols to protect human health, aircraft, and satellites.
Cybersecurity: Implementing quantum-safe cryptography measures to secure energy and communication networks.
International Standards: Collaboration among regulatory bodies to establish safety and interoperability standards.
Environmental Regulations: Compliance with environmental impact assessments and sustainability requirements.
Data and Energy Security: The adoption of quantum encryption protects critical infrastructure.
Energy Democratization: Decentralized energy systems empower communities and reduce reliance on centralized utilities.
Environmental Sustainability: Increased efficiency and reduced losses contribute to lower greenhouse gas emissions.
Inclusive Innovation: Encouraging stakeholder participation in policy formation ensures equitable access to emerging technologies.
Improvements in qubit coherence, error rates, and scalable PIC integration.
Exploration of new quantum computing architectures.
Research on metamaterials, hollow-core fibers, and crystalline waveguides.
Developing advanced cooling and real-time monitoring solutions.
Implementation of demonstration projects in urban microgrids and remote regions.
Evaluation of system performance under real-world conditions.
Building partnerships among academia, industry, and regulatory bodies.
Standardizing protocols and developing international standards.
Extended simulation studies and integration of weighted non-linear metrics.
Continuous improvement based on pilot data and performance feedback.
QE3 unifies three pillars:
Efficiency (Ρ): Optimizing processes to minimize wasted energy.
Environment (I): Precisely measuring and reducing environmental impact.
Economy (E): Achieve cost savings and promote sustainable economic growth.
The QE3 optimization equation is defined as:
Where:
(Quantum Efficiency): Efficiency of the quantum-enhanced process.
(Energy Efficiency): Fraction of energy successfully converted and transmitted.
(Environmental Impact): Quantified emissions and ecological costs.
(Economic Viability): Operational costs versus economic benefits.
ÎS (Entropy): Represents inherent system inefficiencies.
Simulations and preliminary pilot studies indicate:
Efficiency Gains: Improvements from 78% to 92%.
Energy Loss Reduction: Decreases from 20% to 7%.
Environmental Impact: Emission reductions of approximately 33%.
Economic Benefits: Operational cost reductions of up to 25%.
These outcomes are supported by extensive simulation models and experimental data, detailed further in Appendices B and C.
Direct energy beams transmit power via electromagnetic radiationâtraditionally explored with microwaves in the 1970s. Advances in high-power lasers, adaptive optics, and quantum control have reignited interest in laser power transmission for both space-based and terrestrial applications.
Energy Conversion: Converting electrical or solar energy into coherent laser light.
Beam Collimation: Utilizing advanced adaptive optics and quantum feedback to maintain beam focus over long distances.
Key Equations:
Hollow-Core Fibers: Reduce absorption by confining light to an air core.
Metallic/Dielectric Waveguides: Incorporate high-reflectivity coatings and active cooling.
Crystalline Windows: Sapphire and diamond provide superior thermal management and durability.
Architectural models include:
Free-Space Laser Beaming: Direct transmission through the atmosphere or space; requires precise alignment and adaptive corrections.
Fiber-Based Transmission: Uses engineered optical fibers to guide high-power beams in controlled environments, offering increased stability but requiring advanced materials.
Laboratory Data: Conversion efficiencies of 60â70% have been achieved under controlled conditions.
Adaptive Optics: Systems demonstrate maintenance of beam focus over distances of several kilometers.
Thermal Tests: Active cooling maintains operational temperatures below 150°C at power densities.
Quantum-enhanced feedbackâutilizing entangled photons and adaptive correctionsâensures sub-micron alignment and stabilizes the energy beam, enhancing both transmission efficiency and security.
Space-Based Solar Power: Satellites beam gigawatt-scale power to Earth.
Remote Power Distribution: Enables off-grid communities and disaster zones to receive energy directly.
Industrial and Military Applications: Provides secure, rapid energy delivery for specialized operations.
Economic Analysis: Costâbenefit evaluations show potential long-term savings compared to traditional grid upgrades.
Environmental Impact: Reduced transmission losses and lower emissions contribute significantly to sustainability.
Traditional power grids rely on centralized generation and long transmission lines, which lead to significant losses and vulnerabilities. A hybrid grid integrating laser-based energy beaming with on-ground optical waveguides offers enhanced efficiency, flexibility, and resilience.
Centralized command centers employing quantum-enhanced monitoring and adaptive optics can dynamically optimize energy flows. Secure quantum communication protocols further protect grid operations from cyber threats.
Autonomous Microgrids: Remote communities and facilities can independently generate, share, and utilize energy.
Dual-Use Infrastructure: Optical systems that support both data and energy transmission reduce reliance on traditional cabling, fostering resilience.
Pilot Projects: Field trials in urban microgrids and remote areas validate system performance.
Standardization: International regulatory frameworks and cybersecurity protocols ensure interoperability.
Economic Impact: Reduced losses and enhanced grid resilience promise long-term savings and environmental benefits.
Qi wireless charging is a widely adopted technology based on resonant inductive coupling. In this method, energy is transferred wirelessly between a transmitter coil and a receiver coil through an oscillating magnetic field, typically operating in the 100â205 kHz frequency range. This approach offers several advantages:
Efficient, Contactless Power Delivery: By eliminating physical connectors, Qi charging enables convenient and wear-resistant power transfer.
Scalability and Safety: Qi systems are designed to manage power levels safely over short distances, making them suitable for a variety of applications ranging from consumer electronics to electric vehicles.
Standardization: The Qi standard, developed by the Wireless Power Consortium, ensures interoperability among different devices and charging stations.
Within the đē Qalice framework, Qi wireless charging is integrated as a complementary near-field energy delivery mechanism that augments long-range laser energy transmission. The process works as follows:
Long-Range Transmission: Energy is initially converted into coherent laser beams using advanced laser pulse interactions (LPIs) and transmitted over long distances via free-space links or optical waveguides.
Quantum Receiver Conversion: Upon reaching its destination, the laser energy is captured by a quantum receiverâtransmitter unit. This unit utilizes quantum-enhanced control systems to convert the optical energy into a stable electrical output.
Local Distribution via Qi Charging: The electrical energy is then fed into integrated Qi modules, which further condition and distribute the power to end devices through resonant inductive coupling. This closed-loop feedback systemâcombining long-range beaming with localized Qi-based deliveryâensures a seamless, resilient, and efficient energy supply chain, particularly beneficial for urban microgrids, mobile applications, and decentralized power systems.
Ongoing research and development efforts focus on several key areas to further enhance Qi wireless integration within the đē Qalice framework:
Optimizing Resonant Coupling: Researchers are employing quantum sensors and adaptive algorithms to precisely tune the resonance between transmitter and receiver coils. This optimization minimizes energy loss during the transfer process and improves overall system efficiency.
Advanced Coil Designs: Investigations into novel coil geometries and the use of metamaterials are underway. These innovations aim to extend the effective range of Qi charging, enhance magnetic field uniformity, and improve coupling efficiency, thereby boosting power transfer capabilities.
Hybrid Control Algorithms: By integrating data streams from both long-range laser transmission systems and near-field Qi modules, hybrid control algorithms can dynamically manage power distribution. This approach allows real-time adjustments based on fluctuations in demand, environmental conditions, and energy availability, ensuring optimal performance across the entire energy network.
Interfacing with Quantum Control Systems: The integration of Qi charging within a quantum-enhanced framework presents opportunities to leverage quantum error correction and feedback mechanisms. This can further stabilize energy conversion processes, ensuring that the system remains robust even under variable operating conditions.
The incorporation of Qi wireless charging into đē Qalice represents a strategic move toward creating a fully hybrid energy network. This network:
Enhances Reliability: By providing an alternative power distribution method when long-range transmission is affected by environmental conditions, the system ensures continuous energy delivery.
Improves Flexibility: The dual-mode approach allows for seamless transitions between centralized long-range power beaming and decentralized, on-demand local charging.
Supports Scalability: As Qi technology is already standardized and widely implemented, integrating it with advanced quantum-controlled energy beaming systems accelerates deployment and facilitates rapid scaling across various sectors.
Overall, the convergence of Qi wireless technology with đē Qaliceâs advanced energy transmission capabilities lays the groundwork for next-generation, sustainable, and resilient power infrastructures.
The đē Qalice framework represents a transformative convergence of quantum communication, computation, and next-generation energy transmission. By integrating quantum mirroring, advanced photonic technologies, and rigorous QED models, đē Qalice enables secure data exchange and efficient energy distribution through high-power laser transmission. The innovative closed-loop systemâwhere quantum receiverâtransmitters convert incoming laser energy into locally deliverable power via Qi wireless chargingâcreates a seamless hybrid model that optimizes energy efficiency, reduces environmental impact, and drives economic growth. With ongoing research and pilot projects, đē Qalice is poised to modernize global energy infrastructures, democratize power access, and foster sustainable development across industries.
Appendix A: Detailed derivations for quantum state evolution, laserâqubit interactions, and adaptive optics corrections.
A.1 Quantum State Evolution
The time evolution of a single qubit is governed by the time-dependent SchrÃļdinger equation:
For a qubit in superposition:
Substituting into the SchrÃļdinger equation yields:
These coupled differential equations model qubit evolution. In the presence of a laser field, additional interaction terms from the dipole Hamiltonian are included.
A.2 LaserâQubit Interaction Derivations
Starting with the dipole Hamiltonian,
and expressing the quantized electric field as:
projecting onto the qubit basis and applying the rotating wave approximation (RWA) yields:
A.3 Adaptive Optics Corrections Using Zernike Polynomials
The aberrated wavefront is expressed as:
Coefficients are computed via:
The deformable mirror is then adjusted to apply a corrective phase of -.
Appendix B: Experimental setups, raw data, and simulation models for free-space and fiber-based transmission trials.
B.1 Free-Space Laser Transmission Experimental Setup
Components:
Laser Source: High-power pulsed laser (e.g., 1.06 Âĩm).
Beam Expander and Collimator: Ensures beam collimation over long distances.
Adaptive Optics: Deformable mirrors with ShackâHartmann sensors for real-time correction.
Receiver Station: High-sensitivity photodetector or rectenna array.
Environmental Monitoring: Sensors for temperature, humidity, and turbulence.
Raw data include beam profiles, wavefront maps (Zernike coefficients), and transmission efficiency metrics (e.g., ~65% efficiency).
B.2 Fiber-Based Laser Transmission Experimental Setup
Components:
Laser Source: High-power laser optimized for fiber coupling.
Specialized Fiber: Large-core photonic crystal or hollow-core fiber.
Coupling Optics: Mode-matching lenses to optimize injection.
Receiver Module: Fiber-coupled photovoltaic array.
Data Acquisition: Logs power, conversion efficiency, and thermal behavior.
Simulation models (using COMSOL or Zemax) predict beam propagation characteristics, attenuation, and thermal profiles.
B.3 Simulation Models
Free-Space Propagation: Models beam divergence and atmospheric effects using parameters such as laser power, wavelength, and environmental conditions.
Fiber Propagation: Simulates mode propagation and attenuation within the fiber, accounting for core size and refractive index.
Thermal Modeling: Finite Element Analysis (FEA) simulates temperature distributions and cooling efficiency.
Appendix C: Thermal management models for high-power waveguides and comprehensive costâbenefit analyses.
C.1 Thermal Management Models for High-Power Waveguides
The heat equation:
is solved via FEA, modeling a 3D waveguide with given thermal properties. Results show that with active cooling, temperatures can be maintained below 150°C even under high power densities . Simulation results detail optimal cooling channel configurations.
C.2 Comprehensive CostâBenefit Analysis
Parameters include:
CapEx: Costs of lasers, adaptive optics, specialized fibers, receiver modules.
OpEx: Maintenance, cooling, energy losses.
ROI Calculation:
Sensitivity analyses vary key parameters (e.g., conversion efficiency, attenuation) to determine economic viability. Case studies show potential operational cost reductions up to 25% and significant energy savings.
C.3 Environmental and Economic Integration
A Life-Cycle Analysis (LCA) quantifies emissions per kWh transmitted and compares the carbon footprint of traditional grids versus laser-based systems. Non-linear models incorporating regulatory and market factors provide further insight into long-term sustainability and scalability.
Keaton McCune
My name is Keaton R. McCune and I am a visionary entrepreneur, independent researcher, and self-taught innovator whose journey is defined by relentless discipline, creative obsession, and an unwavering commitment to progress. Forging my own path outside traditional academic structures, I have harnessed the transformative capabilities of artificial intelligence and cutting-edge technologies to push boundaries in quantum communication, computation, and energy transmission.
I believe in the power of showing up every dayâtesting ideas, brainstorming solutions, and developing breakthroughs that challenge conventional limits. My work is a testament to what can be achieved when passion meets perseverance. Through a self-motivated approach and continuous learning, I have demonstrated that independence and discipline can lead to groundbreaking innovations that not only advance technology but also inspire current and future generations.
By integrating AI into my research and adopting a never-give-up mindset, I strive to create sustainable, decentralized, and innovative solutions that transform challenges into opportunities. I am dedicated to inspiring others to believe in the potential of independent thought and to pursue their dreams relentlessly. My journey is proof that with determination and curiosity, we can collectively drive positive change and pave the way for a brighter, more innovative future.
Quantum Mirroring: Technique using reflective feedback loops to preserve qubit coherence.
Photonics: The science and technology of generating, controlling, and detecting photons.
Laser Pulse Interaction (LPI): Techniques for manipulating photon states using ultrashort laser pulses. .
Photonic Integrated Circuits (PICs): Integrated circuits that incorporate optical components for managing photon pathways.
Quantum Electrodynamics (QED): The quantum field theory describing interactions between light and matter.
Adaptive Optics: Systems that dynamically correct optical aberrations in real time.
Metamaterials: Engineered materials with properties not found in nature, used to tailor optical behavior.
Rectenna: A receiving antenna that converts electromagnetic energy into direct current (DC) electricity.
Qi Wireless Charging: A near-field, contactless power transfer technology based on resonant inductive coupling.
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