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Technical Report: Integrated Phase Resonance Computer (IPRC) --- A Rigorous Theoretical Framework for Scalable Room-Temperature Coherent Computing with Comprehensive Sensitivity and Uncertainty Quantification

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Zenodo2025-12-23 更新2026-05-26 收录
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The Integrated Phase Resonance Computer (IPRC) represents a groundbreaking theoretical framework for scalable, room-temperature coherent computing, addressing the thermal decoherence and cryogenic cost barriers of traditional quantum systems. By unifying multi-particle phase encoding, resonant amplification, and noise-mediated structural entanglement in a bosonic network, IPRC enables exponential fidelity growth to target eigenstates without isolation, operating at 300 K with projected coherence times exceeding 10 ns.The core dynamics are governed by a master Hamiltonian $\hat{H}(t) = \hat{H}0 + \hat{H}\text{res}(t) + \hat{H}\text{ent} + \hat{H}\text{env}(t)$, augmented by Lindblad dissipators that harness thermal noise ($\bar{n} > 0$) as an entangling resource. A pivotal theorem establishes resonant amplification: upon phase determinant vanishing $\det[\boldsymbol{\Phi}(t_r)] = 0$, fidelity $F(t) \geq 1 - \exp[-\lambda (t - t_r)] - \mathcal{O}(\gamma t / \lambda)$, with rate $\lambda = 2g\sqrt{N(1 + \eta)}$ ($\eta = \bar{\gamma} \bar{n}/g > 0$), ensuring $O(\log N)$ post-resonance complexity.A deterministic algorithm encodes inputs via phase modulation, propagates to resonance ($t_r \leq \pi / (g \sqrt{N})$), and reads out via homodyne detection. Architectural viability leverages metal-organic frameworks and NV-center substrates for $N \to 10^3$ scalability, with QuTiP simulations verifying amplification (e.g., $N=2$: peak $\langle \hat{S} + \hat{S}^\dagger \rangle \approx 2.42$).Sobol sensitivity analysis reveals coupling $g$ dominates variance ($S_g \approx 0.41$, $T_g \approx 0.45$), while Monte Carlo propagation yields robust fidelity $\mathbb{E}[F] = 0.8472 \pm 0.0389$ (4.6% CV). Development is budgeted at $20 million over 4.5 years, promising transformative applications in AI, quantum simulation, and cosmology via open-source, ambient-operation paradigms.

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Zenodo
创建时间:
2025-12-23
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