This paper introduces \textbf{Noetic Field Dynamics (NFD)}, a novel theoretical framework that unifies consciousness studies, quantum mechanics, and performance optimization. NFD posits that consciousness operates as a fundamental field (the Noetic Field) from which cognitive excitations emerge as wave-like solutions. The theory integrates three established paradigms: Csikszentmihalyi's flow psychology, Jung's synchronicity principle, and Nelson-Isaacs' quantum resonance model. We demonstrate how NFD explains peak performance phenomena across artistic, musical, and athletic domains through mathematical formalism of coherence optimization. The framework offers testable predictions for enhancing human potential while providing a unified explanation for subjective experiences of flow, synchronicity, and optimal performance. Cross-domain applications are presented with mathematical formulations, empirical predictions, and practical implications for performance enhancement.
Recent quantum information experiments demonstrate universal protocols capable of reversing, pausing, or accelerating the evolution of isolated quantum systems. These results are frequently described as ``quantum time reversal.'' In this paper, we present a rigorous reinterpretation using the MXD--COGN mixed-domain, mixed-depth coherence engineering framework. We show that quantum rewinding corresponds to restoration of inference-loop closure under deformation rather than reversal of physical time. We introduce a global coherence order parameter $\Phi$, provide an operational estimator $\widehat{\Phi}$ from experimentally accessible observables, and derive falsifiable predictions regarding metastability, critical collapse, and scaling limits. We complement the theory with illustrative simulations of $\Phi(\lambda)$ showing metastable basins and cliff-like transitions near a critical threshold $\Phi_c$. The framework provides audit-ready metrics for quantum time-control experiments and suggests practical diagnostics for quantum technologies.
Maxdi Inc.
ORCID: https://orcid.org/0000-0002-5438-8923
Mahdi Haghzadeh, PhD
Research Division
Cognitave Inc
tex@cognitave.com
Keywords: Quantum Computing, Simulations and Modeling, Integrated Systems, Analysis and Applied Mathematics, MXD-COGN, mixed-domain cognition, mixed-depth cognition, deformed-control inference, order parameter, coherence functional, inferential closure, non-commutativity, inference operator, operator norm, commutator, closure error, EDFS, Emergent Deformed Field Structure, Emergent Deformed Field Structure, gradient, curvature, phase transition,.
Complex systems fail in ways that are neither random nor well explained by existing theories of control, learning, or cognition. Advanced artificial systems, large organizations, and socio-technical infrastructures often exhibit prolonged periods of apparent stability followed by abrupt, irreversible collapse. These failures are typically attributed post hoc to insufficient data, incorrect objectives, or implementation errors. Such explanations are incomplete. This textbook introduces a fundamentally new theoretical framework—MXD-COGN—that explains these phenomena as structural consequences of cognition and control operating across mismatched domains. The central claim of this work is that instability, misalignment, and catastrophic failure are not anomalies of intelligent systems but predictable outcomes of mixed-domain, mixed-depth inference. When inference operators do not commute, when representations are heterogeneous, and when control is mediated through layered abstractions, classical assumptions of global state consistency break down. Failure, in this setting, takes the form of a phase transition rather than gradual degradation.
MXD-COGN (Mixed-Domain Cognition) provides: an algebraic formalism for non-commuting inference operators, a macroscopic coherence order parameter governing control, a geometric field structure encoding stability and irreversibility, and a phase-theoretic account of failure, alignment, and safety.
MXD-Cogn does not promise perfect control. It explains when control is possible—and when it is not.
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a Booklet download entitle above (RAVS) in "*.pdf" format is available to download upon purchase of a token that will be sent to you e-mail inbox.
#RadarSignalProcessing #RSP #RADAR #LIDAR #Automotive #ADAS #OEM #TIER1 #SensorFusion
Mahdi Haghzadeh, PhD
Electronics Department
Cognitave Inc
Keywords: Radar Signal Processing (RSP), FMCW, Tracking, RF/MW Integrated Systems
Radar for Advanced Vehicular Systems (RAVS) is a short technical manual on RADAR (Radio Frequency Detection and Ranging) technology used in modern ADAS (Advanced Driver Assistance Systems) and autonomous, driver-less vehicles (cars and drones) under development globally. This manual reviews main Radar sensing techniques and analysis that enable detection and tracking of targets in the front and proximity of a vehicle equipped with this sensor.
An online EE course, Advanced Radar for Autonomous Driving (ARAD), is available for in-depth development of topics and techniques on ADAS, Sensor Fusion, and advanced signal processing algorithms utilizing machine learning and AI.
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a Booklet download entitle above (MAQM) in "*.pdf" format is available to download upon purchase of a token that will be sent to you e-mail inbox.
#Electronics #QuantumMicroelectronics #QuantumRF #PhotonicCrystals #nanotechnology #photonics #QuantumPhysics #AppliedMathematics
Mahdi Haghzadeh, PhD
Electronics Department
Cognitave Inc
Keywords: Quantum Computing, Simulations and Modeling, Integrated Systems, Analysis and Applied Mathematics
Modern Applied QM (MAQM) mathematics and numerical tools presented in this technical and business ee course are applied in consumer electronics, warfare defense and aerospace industries to solve design and engineering problems in telecommunications or for environmental threats mitigation and counter measures.
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a Technology Report presented by Cognitave Inc Department of Electronics
#EDA #MICROELECTRONICS
Mahdi Haghzadeh, PhD
Electronics Department
Cognitave Inc
Keywords: Numerical Computing, Circuit & EM Simulations, RF/MW Integrated Systems
This Technological Report presents to microelectronics design engineering professionals in semiconductor and electronics industries latest modern design-workflow tools for simulation, modeling and fabrication.
A complete set of computer-aided micro-electronics design automation (MEDA) tools presented in this technological report that are available open source without paid-for licenses or tokens. The tools are considered industry open-source standards and used across the globe for design, modeling, manufacturing and testing of electronic and computing devices that go into medium to ultra-high complexity systems in consumer electronics, warfare defense and aerospace industries.
Access related on-demand EE course at:
a Booklet download entitle above (MAQM) in "*.pdf" format is available to download upon purchase of a token that will be sent to you e-mail inbox.
#Electronics #QuantumMicroelectronics #QuantumRF #PhotonicCrystals #nanotechnology #photonics #QuantumPhysics #AppliedMathematics
Mahdi Haghzadeh, PhD
Electronics Department
Cognitave Inc
Keywords: Quantum Computing, Simulations and Modeling, Integrated Systems, Analysis and Applied Mathematics
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Modern Applied QM (MAQM) mathematics and numerical tools presented in this technical and business ee course are applied in consumer electronics, warfare defense and aerospace industries to solve design and engineering problems in telecommunications or for environmental threats mitigation and counter measures.
Access related on-demand EE course at:
a Technology Report downloadable entitled (LODE-DTMM) in "*.pdf" format is available to download upon purchase of a token that will be sent to your e-mail inbox.
#NumericalProgramming #SignalProcessing #RadarSystems#Electronics #NumericalSimulations #AppliedMathematics
Mahdi Haghzadeh, PhD
Electronics Department
Cognitave Inc
Keywords: Numerical programming, numerical Simulations and Modeling, Integrated Systems, Analysis and Applied Mathematics
Linear ODE-DTM special topic presented in Advanced Radar for Autonomous Driving (ARAD) is a technical ee-course in the field of Autonomous Driving and Sensor Fusion of signals and data in-flow from sensing and control modules OEMs deploy in autonomous and semiautonomous systems.
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#SolarCells #Photovoltaic #Silicon #SolidStatePhysics #Electronics #RenewableEnergy #Electricity #Sustainability
Mahdi Haghzadeh, PhD
Electronics Department
Cognitave Inc
Keywords: Solar Cells, Renewable Energy, Solid State Physics, Thin Film, Organic Electronics, Dye Sensitized Solar Cells, Concentrators, Printed Electronics
This technology report was first presented at Electrical School of Engineering at Sharif University of Technology on latest technological advancement made in development and fabrication of third generation solar cells, namely Organic Photovoltaic (PV). First generation is inorganic, single junction silicon based solar cells that reach 14—19 percent conversion efficiency for single- and multi-crystal silicon. The payback is 3.5—7 years. Second generation is based on thin film technology that yields 7—11 percent efficiency. The payback is less than a year due to inexpensive development and fabrication costs. The drawback is use of environmentally hazardous material. Third generation is organic thin film technology that can reach up to 30 percent efficiency for multi-junction cells. In this category Dye Sensitized Solar Cells are gaining popularity with a promise to deliver cost effective solar cells.
Applied Quantum Mechanics
by Dr. Sina Khorasan
Sharif University of Technology, Tehran Iran
Language: Farsi
Edits: Dr. Mahdi Haghzadeh
Audio Files | Translation | Mathematics Codes | Matlab Codes
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Reserved 2023 All Rights reserved for contained herein by United States of America Laws and Regulations and Internationally. All relevant Copyrights, all proprietary and specially trademarks are reserved and enforced through proper legal routes. Maxdi Inc. Copyright 2023.
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Micro-Electronics Design Automation using Open-Source, free of charge EDA tools - Part2.
Presented at IEEE BOSTON 2024 by Electronics Department at Cognitave Inc.
Quantum Theory Fundamentals presents a modern, coherence-engineering interpretation of quantum mechanics grounded in the MXD-COGN mixed-domain inference framework. Rather than treating quantum theory as a collection of abstract postulates, this eBook develops it as a structured inference system governed by coherence, deformation, and control constraints.
The book introduces foundational quantum concepts through the lens of MXD-COGN, unifying state evolution, measurement, interference, and reversibility within a single inference-theoretic geometry. It emphasizes operational meaning, mathematical clarity, and predictive structure, making it suitable for researchers, advanced students, and engineers working at the intersection of quantum information, control theory, and complex systems.
This volume is part of the Maxdi Research eBook series and reflects independent theoretical research conducted by Maxdi Inc.