信息-能量转换的基本原理
Fundamental Principle of Information-to-Energy Conversion
摘要：
1961年，Landauer给出了1比特信息与熵的等价性：kln 2，k是玻耳兹曼常量。擦除信息意味着热耗散，并且1比特的能量将是（兰道尔极限）kTln 2，T是环境温度。从量子宇宙学的观点来看，今天宇宙中能量的最小量子对应于10^（-29）K的温度，可能形成玻色凝聚的宇宙背景[1]。那么，今天宇宙中能量最小的比特是一个能量为10^（-45）尔格的量子，其等效质量为10^（-66）g。低温意味着每比特的低能量，当然，这是更快和更少能量耗散的计算设备的方式。我们的猜想是：未来进入牛熊证的可能性（耦合/通道？）将意味着这些设备性能的巨大飞跃。
英文摘要：
The equivalence of 1 bit of information to entropy was given by Landauer in 1961 as kln2, k the Boltzmann constant. Erasing information implies heat dissipation and the energy of 1 bit would then be (the Landauers limit) kT ln 2, T being the ambient temperature. From a quantum-cosmological point of view the minimum quantum of energy in the universe corresponds today to a temperature of 10^(-29) degrees K, probably forming a cosmic background of a Bose condensate [1]. Then, the bit with minimum energy today in the Universe is a quantum of energy 10^(-45)ergs, with an equivalent mass of 10^(-66)g. Low temperature implies low energy per bit and, of course, this is the way for faster and less energy dissipating computing devices. Our conjecture is this: the possibility of a future access to the CBBC (a coupling/channeling?) would mean a huge jump in the performance of these devices.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
