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  "slug": "thermodynamic-constraints-and-architectural-inversions-in-scalable-quantum-information-systems",
  "title": "Thermodynamic and Quantum Constraints on Scalable Quantum Computing",
  "authors": [
    "Rowan Brad Quni-Gudzinas"
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  "abstract": "The central tension in scalable quantum computing lies between the exponential growth of quantum information density and the polynomial limits of cryogenic heat extraction. This thermodynamic bottleneck motivates an architectural inversion, where high-power control and readout electronics are offloaded to the 4 Kelvin stage to leverage its vastly greater cooling capacity. However, the physical viability of this paradigm is contingent upon qubits maintaining high-fidelity operation in this more energetic environment. This work validates this architectural solution through a consilience of a physically-grounded numerical model and established thermodynamic theory. Moving beyond simplistic temperature-centric models, we construct a Lindblad framework grounded in the measurable physics of two-level system (TLS) loss and intrinsic 1/f noise. We demonstrate that the systematic engineering of dielectric material quality—specifically the reduction of the effective TLS loss tangent—is the key enabling factor for thermal robustness. [...]",
  "abstract_markdown": "The central tension in scalable quantum computing lies between the exponential growth of quantum information density and the polynomial limits of cryogenic heat extraction. This thermodynamic bottleneck motivates an architectural inversion, where high-power control and readout electronics are offloaded to the 4 Kelvin stage to leverage its vastly greater cooling capacity. However, the physical viability of this paradigm is contingent upon qubits maintaining high-fidelity operation in this more energetic environment. This work validates this architectural solution through a consilience of a physically-grounded numerical model and established thermodynamic theory. Moving beyond simplistic temperature-centric models, we construct a Lindblad framework grounded in the measurable physics of two-level system (TLS) loss and intrinsic 1/f noise. We demonstrate that the systematic engineering of dielectric material quality—specifically the reduction of the effective TLS loss tangent—is the key enabling factor for thermal robustness. [...]",
  "date": "2025-12-01",
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        "description": "The central tension in scalable quantum computing lies between the exponential growth of quantum information density and the polynomial limits of cryogenic heat extraction. This thermodynamic bottleneck motivates an architectural inversion, where high-power control and readout electronics are offloaded to the 4 Kelvin stage to leverage its vastly greater cooling capacity. However, the physical viability of this paradigm is contingent upon qubits maintaining high-fidelity operation in this more energetic environment. This work validates this architectural solution through a consilience of a physically-grounded numerical model and established thermodynamic theory. Moving beyond simplistic temperature-centric models, we construct a Lindblad framework grounded in the measurable physics of two-level system (TLS) loss and intrinsic 1/f noise. We demonstrate that the systematic engineering of dielectric material quality—specifically the reduction of the effective TLS loss tangent—is the key enabling factor for thermal robustness. [...]",
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