## **The QWAV Venture Prospectus** ### A Proposal for Partnership **Project:** Quantum Harmonic Resonance Wave Computing (QWAV) **Author:** Rowan Brad Quni-Gudzinas **Date:** September 26, 2025 **Confidential – For Review by Prospective Partners & Investors Only** --- ### **Founder’s Letter** **To:** Prospective Partners & Investors **From:** Rowan Brad Quni-Gudzinas | Founder & Chief Architect, QNFO **Subject:** A Partnership to Build the Next Paradigm in Computing For over 20 years, my career has focused on architecting and managing complex, national-scale systems. This work has spanned leading multi-million dollar R&D programs as a certified PMP and COR at the U.S. Department of Transportation, to leading data analytics for public sector clients at Deloitte, to architecting the nationally-recognized AARP Livability Index. This experience, particularly in pioneering the use of distributed mobile networks at the FHWA and synthesizing massive datasets at AARP, provided a unique perspective on the architectural bottlenecks and energy demands of large-scale computation. Today, high-performance computing faces an existential crisis. The end of Moore’s Law and the unsustainable energy demands of AI are symptoms of a fundamental mismatch between our digital models and physical reality. My foundational research in theoretical physics offers a new path forward: **Quantum Harmonic Resonance Wave Computing (QWAV)**. This paradigm, protected by 20 pending patents and detailed in over 110 scholarly works, reframes computation as an emergent property of resonant wave harmonics. It is the culmination of my career, bridging systems architecture with fundamental physics. My expertise is in leading the science and R&D. I am not a commercial CEO. I am seeking a partner—a co-founder or lead investor—to build the business enterprise with the same rigor I have applied to the technology. A foundational first step will be to establish a formal corporate structure, preferably domiciled internationally to serve a global mission. The attached plan details the 24-month, $5M proof-of-concept designed to de-risk the core technology and create tangible value. I invite you to review this work and consider joining me in building the future of computation.  Sincerely, Rowan Brad Quni-Gudzinas, PMP --- ### **Technical Prospectus** **Title:** Quantum Harmonic Resonance Wave Computing (QWAV): Foundational Principles, System Architecture, and Intellectual Property **Version:** 1.0 #### **I. The Imperative for a New Paradigm** The field of quantum computing, despite immense promise, confronts significant inherent challenges that impede its path to practical, large-scale applications. Current gate-based quantum computing approaches struggle with the extreme fragility of qubits, leading to rapid decoherence and high error rates that necessitate extensive error correction. Furthermore, fundamental limitations exist in scaling the number of physical qubits due to complex entanglement management, physical connectivity requirements, and the need for extreme hardware isolation (e.g., cryogenics). These systems often struggle with the broad algorithmic scope required for real-world, non-linear problems. Concurrently, high-performance computing (HPC) faces an existential crisis. The predictable scaling of transistor performance, known as Moore’s Law, has ended due to fundamental physical and economic limits. This is compounded by an AI-driven energy crisis, with data centers facing unsustainable power density problems. Conventional “quantum” alternatives attempt to isolate and control fragile, unnatural quantum states at enormous physical and economic expense, fighting a brute-force battle against nature. These converging crises demand a new computational paradigm. #### **II. Foundational Principles of QWAV** The prevailing qubit-centric approach to quantum computing fundamentally misrepresents quantum phenomena. It attempts to impose a discrete, localized “particle-centric” model onto a reality more accurately described by continuous field dynamics and emergent resonant patterns. This conceptual mismatch leads to the formidable technical challenges of decoherence and error correction. Quantum Harmonic Resonance Wave Computing (QWAV) proposes a radical paradigm shift, redefining computation as an emergent property of dynamic, interacting frequency fields. This approach is grounded in a re-evaluation of fundamental energy relations. By synthesizing E = mc² and E = hf, we arrive at the Mass-Frequency Identity: in natural units, a pattern’s rest mass is numerically identical to its intrinsic angular frequency (m = ω). This reinterprets mass not as inert substance, but as a stable, resonant standing wave pattern within a dynamic medium. Physical entities are dynamic, information-theoretic patterns. What we perceive as a stable particle is more accurately a persistent, self-sustaining pattern of resonance—a stable, localized excitation—within the underlying quantum field. Quantum superposition is the natural state of a quantum process existing as a complex “chord” of multiple potential frequency patterns. Measurement is a process of resonant selection, analogous to tuning a radio to select one signal from many. This frequency-based ontology allows us to bypass the limitations of particle-centric systems by aligning computation with reality’s native principles of resonance and continuous field dynamics. #### **III. The QWAV System Architecture: The Five Foundational Innovations** The QWAV vision, while long-theorized, has been unrealizable due to five fundamental and previously unsolved problems. The QWAV system overcomes these barriers through the synergistic operation of five novel subsystems, transforming the global telecommunications grid from a passive data conduit into an active, power-efficient, and massively scalable computational resource. **3.1 Stroboscopic Coherence Stabilization (SCS)** The SCS protocol overcomes the critical temporal mismatch problem, where the natural coherence time of a signal in a real-world network is far too short for a complex computation to converge. SCS addresses this by breaking the computation into a series of short, coherent evolution steps. After each step, the system’s state is rapidly measured, compared to an ideal model, and a classically computed correction is applied to “rejuvenate” the wave field. This effectively resets the decoherence clock at each iteration, synthesizing one long, coherent computation from a series of short, decoherence-limited physical steps. **3.2 Dynamic Pump Synthesis & SBS Suppression** This system tames the parasitic nonlinearities inherent in optical fibers. To perform computation, the weak Kerr effect is desired, but it is typically overwhelmed by a much stronger, destructive effect called Stimulated Brillouin Scattering (SBS). Our solution synthesizes the required pump signal from a frequency comb of many weaker, phase-dithered lasers. The rapid, continuous scrambling of the phase means the slow acoustic grating required for SBS cannot form, while the instantaneous peak power from constructive interference is sufficient to induce the fast electronic Kerr effect needed for computation. This decouples peak power from the conditions required for SBS, selectively engaging the desired nonlinearity. **3.3 Neuro-Physical Inverse Compiler (NPIC)** The NPIC solves the compilation bottleneck, a computationally intensive inverse problem that could otherwise negate any quantum speedup. It uses a hybrid, two-stage architecture. First, a deep neural network—pre-trained offline on a high-fidelity “Resonant Digital Twin” of the network—provides an instantaneous, approximate compilation, placing the physical system in the correct “basin of attraction.” Second, a real-time, low-latency classical feedback loop makes minor, corrective adjustments “on-the-fly” during the SCS process, fine-tuning the system’s energy landscape to guide its evolution precisely to the true ground state. **3.4 Doppler-Compensated Spatio-Temporal Eigenmode (DC-STE) Tracking** DC-STE tracking stabilizes computation in a dynamic wireless cavity. A wireless environment is a rich but highly unstable medium due to movement and Doppler shifts. DC-STE reframes this instability as a manageable resource. The system continuously monitors the Channel State Information (CSI) and uses a predictive model to forecast the channel’s evolution. The NPIC then maps the computational problem not onto a static set of eigenmodes, but onto a desired *trajectory* through the evolving eigenmode space, actively “steering” the computational state to remain valid as the physical “computer” changes. **3.5 Holographic Calibration & Differential Tomography Readout (HCDTR)** HCDTR enables high-fidelity readout from a vast network of uncalibrated sensors (e.g., smartphones), a problem long considered practically impossible. At the conclusion of the computation, the base station transmits two fields: the final Computation Field (Ψcomp) and a known Holographic Reference Field (Ψref). Each device measures the total interference pattern. By comparing the measured reference to its ideal description, the device calculates a unique Calibration Vector that encapsulates all its local errors. It applies the inverse of this vector to its measurement of Ψcomp to produce a “cleaned” data point, which it transmits back. This transforms an impossible problem into a standard, well-posed tomographic reconstruction at the central server. The feasibility of this approach is supported by the founder’s prior work at the U.S. FHWA, which involved extracting coherent signals from national-scale mobile device networks. #### **IV. The Competitive Landscape** QWAV represents a different class of computation. While other paradigms struggle with the overhead of simulating abstract logic, QWAV is a direct physical solver for today’s most valuable NP-hard optimization problems (QUBOs). This focus on applied wave physics provides a fundamentally more direct, efficient, and scalable path to commercial viability. | Paradigm | Core Principle | Scalability | Operating Conditions | | :------------------- | :------------------------ | :-------------------- | :---------------------- | | **QWAV (Projected)** | **Analog Wave Resonance** | **Millions of modes** | **Room Temp / Ambient** | | Gate-Based QC | Gate Operations | ~10³ qubits | Cryogenic (<1K) | | Quantum Annealer | Quantum Annealing | ~10⁴ qubits | Cryogenic (mK) | | Photonic Ising | Optical Ising Emulation | ~10² spins | Room Temp / Lab | | Classical Hardware | Digital Annealing | ~10⁵ variables | Room Temp / Data Center | | Paradigm | Infrastructure | Energy Efficiency | Near-Term Viability | | :------------------- | :------------------- | :---------------- | :------------------ | | **QWAV (Projected)** | **Existing Telecom** | **Very High** | **Near-Term** | | Gate-Based QC | Bespoke Fab | Very Low | Long-Term R&D | | Quantum Annealer | Bespoke Fab | Low | Commercial | | Photonic Ising | Bespoke Lab | High | R&D / Niche | | Classical Hardware | Standard CMOS | Moderate | Commercial | #### **V. Applications & Broader Impact** The unique principles of QWAV extend its potential impact far beyond merely solving existing computational challenges. - **Telecommunications as Quantum Computing Centers:** The very nature of QWAV, which computes on frequency, implies a profound convergence with telecommunications infrastructure. Existing fiber optic and wireless networks can evolve into a vast, distributed quantum computer, where computation and communication are seamlessly integrated. This leads to ultra-low latency processing, massive distributed quantum power, and enhanced network security. - **Foundational Challenge to Digital Security:** QWAV’s hypothesized massive parallelism could enable the rapid factorization of large composite numbers and the swift resolution of discrete logarithm problems, rendering widely deployed public-key encryption standards like RSA and ECC effectively insecure. It also presents a theoretical challenge to Quantum Key Distribution (QKD) through its proposed capacity for “non-destructive interception.” - **Algorithmic Engineering:** QWAV opens the door to a new discipline dedicated to designing systems that directly interface with and influence the universe’s underlying generative processes, moving beyond merely computing *within* reality to actively participating in its ongoing, self-organizing computation. - **Speculative Applications:** Building on these foundational shifts, QWAV could enable transformative, yet highly speculative, applications such as localized inertia manipulation, novel energy harnessing from the vacuum, and even a direct interface with consciousness if it is also a resonant pattern. #### **VI. Intellectual Property Portfolio** QNFO’s work is secured by a deep portfolio of 20 pending U.S. patents, protecting the foundational principles of QWAV and its enabling technologies. | Application No. | Abbreviated Patent Title | | :--- | :--- | | 19/043,486 | Bio-Inspired Platform for Enhanced Quantum Coherence | | 19/043,521 | Liquid Shielded Quantum Device | | 19/088,934 | Probabilistic Quantum Information Processing via Information States | | 19/171,267 | Phase-Encoded Information System for Unified Storage & Processing | | 63/751,846 | QPU with Bio-Inspired Lattice for Enhanced Coherence & Scalability | | 63/751,887 | Bio-Inspired Platform for Enhanced Quantum Coherence | | 63/766,414 | Analog Quantum Observation & Simulation (Non-Collapsing States) | | 63/772,770 | Analog Quantum Observation & Simulation (Non-Collapsing States) | | 63/780,399 | Analog Quantum Observation & Simulation (Non-Collapsing States) | | 63/784,100 | Phase-Encoded Information System for Unified Storage & Processing | | 63/824,935 | Integrated Nanoscale Shield for Coherent Operation at Elevated Temps | | 63/837,236 | Resonant Field Computing Using Engineered Field State Qubits | | 63/840,123 | HRC with Delocalized Resonant Field State Units | | 63/842,205 | HRC Utilizing Telecom Infrastructure | | 63/842,356 | HRC Utilizing an Engineered 3D Toroidal Physical Medium | | 63/843,145 | HRC Leveraging Universal Resonant Principles for AI | | 63/846,855 | Various Systems and Methods Related to Computing | | 63/847,035 | Various Systems and Methods for Computing v20250719-2 | | 63/852,206 | Wave-Based Computational Systems and Simulators | | 63/856,869 | QRC Systems and Methods for Stable Quantum Computation | #### **VII. Publications & Scholarly Output** The theoretical and technical foundations of QWAV are supported by over 110 scholarly works, including preprints, technical reports, and books. These documents provide a deep well of information for technical due diligence and establish the scientific rigor behind this venture. - **QNFO Research Portal:** [zenodo.org/communities/qnfo](https://zenodo.org/communities/qnfo) - **Founder’s ORCID Profile:** [orcid.org/0009-0002-4317-5604](https://orcid.org/0009-0002-4317-5604) --- ### **Project QWAV: Resource & Staging Plan** **1. Project Overview & Objectives** This plan outlines a two-phase, 24-month project to experimentally validate the core technologies of Quantum Harmonic Resonance Wave Computing (QWAV), as detailed in the Technical Prospectus. The objective is to systematically de-risk the key engineering challenges and produce an integrated, functioning prototype capable of solving small-scale optimization problems. This will provide the empirical foundation for commercialization and a subsequent Series A funding round. **2. Principal Investigator Competencies** The project will be led by Rowan Brad Quni-Gudzinas. Key qualifications for the execution of this plan include: - **20+ years of experience** in managing complex, national-scale systems (AARP Livability Index, FHWA National Model System). - **Certified Project Management Professional (PMP).** - **Certified Contracting Officer’s Representative (COR)** with direct experience managing a multi-million dollar portfolio of federally-funded technical research, ensuring fiscal and technical accountability. - **Demonstrated Expertise** in managing and extracting coherent signals from national-scale, distributed mobile sensor networks, providing a strong practical foundation for the HCDTR innovation. **3. Milestone Plan & Key Deliverables** **3.1 Phase 1: Validation of Core Feedback and Readout Mechanisms (Months 1-12)** **Objective:** To validate the most critical and unproven aspects of the innovation in parallel, controlled experiments, as recommended in the Technical Assessment. **Deliverable 1A (Optical):** A comprehensive report and live demonstration of the Stroboscopic Coherence Stabilization (SCS) and Dynamic Pump Synthesis systems maintaining a stable, nonlinear state in a controlled dark fiber loop for a duration significantly longer than its natural coherence time. **Deliverable 1B (Wireless):** A comprehensive report and live demonstration of the Holographic Calibration (HCDTR) protocol successfully reconstructing a known test field with high fidelity from a network of uncalibrated receivers. **3.2 Phase 2: Integrated Optical System Demonstration (Months 13-24)** **Objective:** To integrate the validated subsystems and demonstrate a full, end-to-end computational solution. **Deliverable 2A:** A functioning, first-generation Neuro-Physical Inverse Compiler (NPIC) capable of translating QUBO problems into physical control signals for the optical testbed. **Deliverable 2B (Final PoC Deliverable):** A live demonstration of the fully integrated optical system successfully solving a benchmark set of small-scale QUBO problems, from compilation (NPIC) to stable execution (SCS) and readout. **4. Pro Forma Budget (Use of Funds)** | Category | Allocation | Amount | Key Activities | | :--- | :--- | :--- | :--- | | **Research & Development** | 65% | $3,250,000 | Salaries for PI and core science team (4-5 specialists). Equipment for SCS/SBS and HCDTR testbeds. Software/cloud compute for NPIC Digital Twin. | | **Intellectual Property** | 10% | $500,000 | Aggressive prosecution of 20 pending patents; strategy for international filings (PCT). | | **General & Administrative** | 15% | $750,000 | Lab/Office setup, insurance, legal/accounting services for corporate formation, partnership development travel. | | **Contingency Fund** | 10% | $500,000 | Reserved for unforeseen R&D challenges, managed by the PI. | | **Total** | **100%** | **$5,000,000** | | **5. Corporate Structure Memorandum** The QNFO project currently has no formal corporate structure. The intellectual property is held by the founder. A foundational objective of this seed stage is to work with our lead partner to establish a new corporate entity. **Objective:** To select an optimal international jurisdiction (e.g., Switzerland, Singapore, UK) that supports the company’s long-term goals for global collaboration, IP protection, and capital attraction. **Action Item:** The first use of G&A funds will be to engage a top-tier international law firm to advise on and execute the formation of this new entity, into which all IP will be formally transferred.