Papers
Topics
Authors
Recent
Search
2000 character limit reached

Reversible Imprinting and Retrieval of Quantum Information: Experimental Verification of the Quantum Memory Matrix Hypothesis

Published 15 Feb 2025 in physics.gen-ph | (2502.15766v1)

Abstract: We present a series of quantum computing experiments designed to test a central prediction of the Quantum Memory Matrix (QMM) hypothesis - that quantum information can be locally stored in finite-dimensional cells of space-time and later retrieved in a fully unitary and reversible manner. Our work encompasses five distinct experiments: a basic three-qubit imprint-retrieval cycle, an extended five-qubit model implementing two parallel cycles, and variations incorporating dynamic evolution and controlled error injection. In each case, a field qubit is prepared in an arbitrary superposition, and its state is imprinted onto memory qubit(s) via controlled-R_y gates, with subsequent controlled-SWAP operations retrieving the stored information into output qubit(s). Execution on an IBM Quantum Processing Unit using the Qiskit Runtime service yielded significant correlations between the initially prepared field states and the retrieved outputs, with fidelities that, while subject to hardware noise and decoherence, consistently demonstrate the reversible and unitary nature of the process. These results not only confirm the basic imprint-retrieval cycle as predicted by the QMM hypothesis but also establish a scalable experimental methodology that may ultimately contribute to resolving challenges such as the black hole information paradox and advancing our understanding of quantum gravity.

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We found no open problems mentioned in this paper.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 2 tweets with 1 like about this paper.