# AbstractThis paper proposes a novel computing architecture that fundamentally bypasses and breaks the bottleneck of the micro-scaling race of Moore's Law, which relies on transistor miniaturization. This architecture is named the **Hourglass Charge-Conservation Analog Computing Architecture**. Its core breakthrough lies in the integration of **computing units, registers and power storage units on a single chip**. At the hardware level, it is implemented through the deep integration of three functional matrices: relaxor ferroelectric/quantum paraelectric supercapacitor matrix, all-optical controlled switch matrix, and photovoltaic voltage sampling matrix, which together form a complete hardware foundation for computing-storage-energy integration. This architecture possesses inherently excellent parallel computing characteristics and unlimited future development potential. Its analog computing natively supports neuromorphic quantization and fuzzy information processing. Meanwhile, the hardware-intrinsic natural random number perturbations provide a crucial physical basis for computers to truly evolve towards emotional and human-like intelligence. Completely opposite to the linear growth model of Moore's Law, which relies on process iteration and technology stacking, the performance of the Hourglass architecture will naturally increase exponentially with breakthroughs in materials science and mathematical algorithms. The future application of superconducting materials will further enable a qualitative leap. Not only will the hardware computing power be improved synchronously, but the optimization space of supporting software algorithms will also expand exponentially. This preprint is an independent research result and has not received any institutional funding. All parameters are derived from currently published cutting-edge laboratory technologies, with no super-physical assumptions.Welcome peer exchanges and experimental verification. Contact information: hxy@yhdzele.cn; 52287423@qq.com --- ## KeywordsComputing-Storage-Energy Integration; Charge-Conservation Analog Computing; Relaxor Ferroelectric Supercapacitor; Quantum Paraelectric Supercapacitor; All-Optical Controlled Switch; Photovoltaic Voltage Sampling; Neuromorphic Computing; Parallel Analog Computing; Pulsed Power --- # 摘要本文提出的新型计算架构,**从底层原理上绕过并打破了摩尔定律依赖晶体管微缩的微观竞赛瓶颈**。 该架构命名为**沙漏电荷守恒模拟计算机架构**,其核心突破在于:**运算单元、寄存器与电源储能单元集成于同一芯片**。硬件层面通过三组功能矩阵的深度合一实现:弛豫铁电/量子顺电超级电容矩阵、全光控开关矩阵、光电压采样矩阵,三者协同构成完整的存算能一体化硬件基础。 该架构具备原生优良的并行运算特性与无限的未来发展可能性。其模拟量计算天然支持仿神经量化与模糊化信息处理,同时硬件本征的自然随机数扰动,为计算机真正走向具备情感与类人智能提供了关键的物理基础。 与摩尔定律依赖工艺迭代堆技术的线性增长模式完全相反,沙漏架构的性能天然会随着材料学、数学算法的突破呈指数级上升,未来超导材料的应用更将使其实现质的飞跃;不仅硬件算力会同步提升,配套软件算法的优化空间也将同步指数级放大。 本预印本为独立研究成果,未接受任何机构资助。所有参数均基于当前已发表的实验室前沿技术推导,无超物理假设。欢迎同行交流与实验验证,联系方式:hxy@yhdzele.cn;52287423@qq.com --- ## 关键词存算能一体化;电荷守恒模拟计算;弛豫铁电超级电容;量子顺电超级电容;全光控开关;光电压采样;类脑计算;并行模拟运算;脉冲功率
xiaoyan huang (Thu,) studied this question.
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