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Studies in computational intelligence

A Brief Account on the Recent Advances in the Use of Quantum Mechanics for Information Retrieval

Massimo Melucci

Published Aug 10, 2012• 0 citations
Publisher
DOI
10.1007/978-3-642-31546-6_1

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•Sep 18, 2026•0 citations
Recently people started to understand that applications of the mathematical formalism of quantum theory are not reduced to physics. Nowadays, this formalism is widely used outside of quantum physics, in particular, in cognition, psychology, decision making, information processing, especially information retrieval. The latter is very promising. The aim of this brief introductory review is to stimulate research in this exciting area of information science. This paper is not aimed to present a complete review on the state of art in quantum information retrieval.
Summary A brief account is given of the reasons why the many-body problem has recently become the subject of a rapidly expanding literature. After a survey of the main ideas of recent theories, it is shown how these ideas have played a rôle in giving us a better understanding of such topics as superconductivity, plasmas, and liquid helium. In the theory of the many-body problem the main branches of theoretical physics applied are Hamiltonian mechanics or quantum mechanics (to describe the motion of the constituent particles of the many-body system under consideration) and statistical mechanics (to describe the collective action of the large number of particles in the system). As these subjects are relatively advanced we have discussed in an appendix the main concepts of Hamiltonian mechanics and some of those of quantum statistics, including the definition and some of the properties of fermions and bosons.
This paper proposes a technology-oriented research roadmap for investigating whether advanced physics, quantum information science, artificial intelligence, and consciousness research could eventually enable new forms of temporal information retrieval and postmortem accountability. It reviews quantum state reconstruction, reversible quantum dynamics, indefinite causal order, Many-Worlds interpretations, computational historical reconstruction, near-death experiences, terminal lucidity, and anomalous information-reception research. The proposed research architecture progresses from experimentally tractable technologies—AI-assisted historical reconstruction, quantum information recovery, reversible computation, and controlled consciousness-at-death experiments—to more speculative objectives, including information retrieval from the past, cross-timeline information exchange, investigation of postmortem consciousness, and empirical testing of whether moral accountability or reparative processes could exist beyond biological death. The framework is explicitly designed to distinguish established capabilities, theoretical possibilities, and high-risk/high-reward hypotheses suitable for long-term advanced research.