Information Conservational Security with “Black Hole” Keypad Compression and Scalable One-Time Pad — An Analytical Quantum Intelligence Approach to Pre- and Post-Quantum Cryptography

Although it is widely deemed impossible to overcome the information theoretic optimality of the one-time pad (OTP) cipher in pre and post-quantum cryptography, this work shows that the optimality of information theoretic security (ITS) of OTP is paradoxical from the perspective of information conservational computing and cryptography. To prove this point, ITS of OTP is extended to information conservational security (ICS) of scalable OTP (S-OTP) with percentage-based key extension where total key length can be reduced to a condensed tiny minimum through “black hole” keypad compression coupled with “big bang” data recovery. The cost is a limited increase in total data length and network traffic; the gain is making the transmission of long messages possible without weakening information theoretic security. It is proven that if ITS/OTP were optimal, ICS/S-OTP would be impossible; on the other hand, if ICS/S-OTP were not information theoretically secure, ITS/OTP would not be secure either. Thus, we have a proof by contradiction on the paradoxical nature of OTP optimality. It is further proven that a summation with percentage distribution is a special case of equilibrium-based bipolar quantum cellular automata. This proof bridges a classical world with a quantum world and makes it possible to combine the advantages of both approaches for pre and post-quantum cryptography. It is suggested that the findings of this work form an analytical paradigm of quantum intelligence machinery toward perfect information conservational security. Some mysteries in Nature and science are identified. In particular, the question is posted: Could modern science have been like a well-founded building with a floor of observable beings, truths, and entropy but missing its roof for equilibrium, harmony, information conservation, and logically definable causality

G-CPT Symmetry of Quantum Emergence and Submergence -- An Information Conservational Multiagent Cellular Automata Unification of CPT Symmetry and CP Violation for Equilibrium-Based Many-World Causal Analysis of Quantum Coherence and Decoherence

An equilibrium-based YinYang bipolar dynamic Generalization of CPT (G -CPT) symmetry is introduced based on energy/information conservational quantum emergence-submergence. As a bottleneck of quantum computing, quantum decoherence or collapse has been plaguing quantum mechanics for decades. It is suggested that the crux of the problem can trace its origin back to the incompleteness of CPT symmetry due to the lack of holistic representation for equilibrium-based bipolar coexistence. In this work, the notion of quantum emergence-submergence is coined as two opposite processes with bipolar energy/information conservation. The new notion leads to G-CPT symmetry supported by a Bipolar Quantum Cellular Automata (BQCA) interpretation of quantum mechanics. It is shown that the new interpretation further leads to the unification of electromagnetic particle- antiparticle bipolarity and gravitational action-reaction bipolarity as well as CPT symmetry and CP violation into a philosophically, geometrically and logically different quantum gravity theory. On one hand, G -CPT symmetry enables a Bipolar Quantum Agent (BQA) to emerge as a bipolar quantum superposition or entanglement coupled to a globally coherent BQCA; on the other hand, G -CP violation supports a causal theory of BQA submergence or decoupling from the global coherence. In turn, BQAs can submerge from one world but emerge in another within YinYang bipolar quantum geometry. It is suggested t hat all logical, physical, social, biological and mental worlds are bipolar quantum entangled under G -CPT symmetry. It is contended that G -CPT symmetry constitutes an analytical paradigm of quantum mechanics and quantum gravity— a fundamental departure from “what goes around comes around ”. The new paradigm leads to a number of predictions and challenges

Causality Is Logically Definable-Toward an Equilibrium-Based Computing Paradigm of Quantum Agents and Quantum Intelligence (QAQI)

A survey on agents, causality and intelligence is presented and an equilibrium-based computing paradigm of quantum agents and quantum intelligence (QAQI) is proposed. In the survey, Aristotle’s causality principle and its historical extensions by David Hume, Bertrand Russell, Lotfi Zadeh, Donald Rubin, Judea Pearl, Niels Bohr, Albert Einstein, David Bohm, and the causal set initiative are reviewed; bipolar dynamic logic (BDL) is introduced as a causal logic for bipolar inductive and deductive reasoning; bipolar quantum linear algebra (BQLA) is introduced as a causal algebra for quantum agent interaction and formation. Despite the widely held view that causality is undefinable with regularity, it is shown that equilibrium-based bipolar causality is logically definable using BDL and BQLA for causal inference in physical, social, biological, mental, and philosophical terms. This finding leads to the paradigm of QAQI where agents are modeled as quantum ensembles; intelligence is revealed as quantum intelligence. It is shown that the ensembles formation, mutation and interaction of agents can be described as direct or indirect results of quantum causality. Some fundamental laws of causation are presented for quantum agent entanglement and quantum intelligence. Applicability is illustrated; major challenges are identified in equilibrium based causal inference and quantum data mining

Animal use in Major Depressive Disorder : a necessary evil? Assessing the past to improve the future

Animal models are widely used in research aimed at advancing human healthcare, although their utility for this purpose is more often presumed, than studied. In this thesis I evaluate the contribution of animal models to current knowledge of Major Depressive Disorder (MDD), a poorly understood mental disorder of multifactorial origin that affects thousands of people worldwide. My hypothesis is that if animal models are contributing meaningfully to medical advances, then animal studies will be well cited by human medical literature. Accordingly, and after conducting a pilot study on ADHD (Chapter 2), I conducted a citation analysis on studies which used rats (Chapter 3) and non-human primates (NHP) (Chapter 4) as models for MDD research. The number of citations of these papers by human medical papers was low. To determine if the low number of citations could be caused by the need for sufficient evidence to accumulate within a field, before a medical breakthrough can be reached, I determined if the citations were by papers on the same disorder, or on unrelated disorders (Chapter 5). In an attempt to determine if low citation numbers are common to all indirect research approaches, I compared the number and relevance of citations of in silico, in vitro and NHP studies, by human medical papers. Other research approaches more effectively informed human research, than NHP models (Chapter 4). I also quantified the citations of other research methods by subsequent animal studies. Citations were low, contrary to common expectations that in vitro and in silico inform subsequent animal studies (Chapter 6). Overall, these results indicate that animal models make poor contributions to human mental disorders research. This merits a change in the extant paradigm in biomedical research, at least in some human disorders, as proposed in Chapter 7