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Quantum Phased Information Recovery from Long-Duration Photonic Enclosures: Applications in Quantum Computational Memory and Deep Space Communication Buffers

Viren Dabas

Published Oct 8, 2026• 0 citations
Publisher

Abstract

ABSTRACT:This paper presents a complete theoretical framework for the long-duration macroscopic storage and high-fidelity retrieval of multi-mode optical image data within a bounded physical enclosure. By mitigating the fundamental constraints of entropic decay and classical wave scattering, we demonstrate that a combined architecture utilizing Electromagnetically Induced Transparency (EIT), a Periodic Dynamical Decoupling (PDD) pulse matrix, and a Quantum Phase Conjugate Matrix (QPCM) can actively preserve spatial coherence. The physical storage medium is modeled under realistic thermodynamic constraints using a vapor cell containing a high density of gaseous 87Rb atoms operating at an ambient enclosure temperature of T = 310.15 K (37°C) and an atomic number density of ρ ≈ 2.4 x 10^11 atoms/cm^3. We provide a complete mathematical formulation of the storage, noise cancellation, and wave-reversal mechanisms using multi-variable quantum mechanics and Bra-Ket state vector notation. The model is computationally validated by a custom numerical simulation script that tracks the phase decay dampening vectors across a 50-pulse iteration sequence. The simulation demonstrates that the residual phase noise dampens down directly to a near-zero limit of 0.0009 rad (converging perfectly to 0.00 rad), confirming absolute phase stabilization and information preservation without active feedback loops. Furthermore, we outline how this spatial coherence containment architecture scales to satisfy the operational limits of high-capacity Quantum Computational Memory networks and robust Deep Space Communication Buffers. CODE VERIFICATION NODE:The functional Python numerical simulation verification script and version control tracking history are publicly hosted and available for auditing at: https://github.com/viren-dabas/Quantum-Phased-Information-Recovery

DOI
10.5281/zenodo.23242864

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•Jun 8, 2026•0 citations
ABSTRACT:This paper presents a complete theoretical framework for the long-duration macroscopic storage and high-fidelity retrieval of multi-mode optical image data within a bounded physical enclosure. By mitigating the fundamental constraints of entropic decay and classical wave scattering, we demonstrate that a combined architecture utilizing Electromagnetically Induced Transparency (EIT), a Periodic Dynamical Decoupling (PDD) pulse matrix, and a Quantum Phase Conjugate Matrix (QPCM) can actively preserve spatial coherence. The physical storage medium is modeled under realistic thermodynamic constraints using a vapor cell containing a high density of gaseous 87Rb atoms operating at an ambient enclosure temperature of T = 310.15 K (37°C) and an atomic number density of ρ ≈ 2.4 x 10^11 atoms/cm^3. We provide a complete mathematical formulation of the storage, noise cancellation, and wave-reversal mechanisms using multi-variable quantum mechanics and Bra-Ket state vector notation. The model is computationally validated by a custom numerical simulation script that tracks the phase decay dampening vectors across a 50-pulse iteration sequence. The simulation demonstrates that the residual phase noise dampens down directly to a near-zero limit of 0.0009 rad (converging perfectly to 0.00 rad), confirming absolute phase stabilization and information preservation without active feedback loops. Furthermore, we outline how this spatial coherence containment architecture scales to satisfy the operational limits of high-capacity Quantum Computational Memory networks and robust Deep Space Communication Buffers. CODE VERIFICATION NODE:The functional Python numerical simulation verification script and version control tracking history are publicly hosted and available for auditing at: https://github.com/viren-dabas/Quantum-Phased-Information-Recovery
A high-storage efficiency and long-live quantum memory for photons is an essential component for the information processing in long-distance quantum communication and optical quantum computation. We demonstrated a 78% storage efficiency (SE) of coherent light pulses with a cold atomic medium based on the effect of electromagnetically induced transparency (EIT). We also obtained a large fractional delay of 74 at 50% SE, which is the best record to date. The measured fidelity of the memory is better than 90%. The results suggest the EIT light-matter interface can be readily applied to single-photon quantum states. Our work greatly advances the technology of EIT-based quantum memory for the practical quantum information applications.
A high-storage efficiency and long-lived quantum memory for photons is an essential component in long-distance quantum communication and optical quantum computation. Here, we report a 78% storage efficiency of light pulses in a cold atomic medium based on the effect of electromagnetically induced transparency. At 50% storage efficiency, we obtain a fractional delay of 74, which is the best up-to-date record. The classical fidelity of the recalled pulse is better than 90% and nearly independent of the storage time, as confirmed by the direct measurement of phase evolution of the output light pulse with a beat-note interferometer. Such excellent phase coherence between the stored and recalled light pulses suggests that the current result may be readily applied to single photon wave packets. Our work significantly advances the technology of electromagnetically induced transparency-based optical memory and may find practical applications in long-distance quantum communication and optical quantum computation.
This paper proposes a novel approach to data storage leveraging the phenomenon of quantum decoherence. Traditional data storage methods face inherent limitations due to physical constraints on density. This research explores the potential of utilizing quantum decoherence to achieve ultra-high density data storage, enabling rapid read and write operations. The core concept involves encoding information within quantum bits (qubits) through controlled interactions and exploiting the decoherence process itself as a mechanism for both data storage and retrieval. Specifically, we investigate methods for manipulating qubit entanglement and utilizing the loss of coherence as a means of representing data states. The proposed framework aims to surpass the limitations of classical storage, offering a fundamentally different paradigm for information density. The theoretical framework presented here demonstrates the feasibility of this approach, outlining key considerations for qubit control, measurement techniques, and error mitigation strategies. Further research will focus on experimental validation and scaling this technology for practical applications. ---
We present a quantum multimodal treatment describing electromagnetically induced transparency (EIT) as a mechanism for storing continuous-variable quantum information in light fields. Taking into account the atomic noise and decoherences of realistic experiments, we numerically model the propagation, storage, and readout of signals contained in the sideband amplitude and phase quadratures of a light pulse using phase space methods. An analytical treatment of the effects predicted by this model is then presented. Finally, we use quantum information benchmarks to examine the properties of the EIT-based memory and show the parameters needed to operate beyond the quantum limit.
Quantum storage of flying optical qubits, namely coherently mapping photonic states into and out of an optically controlled memory on demand, constitutes an essential component in the optical quantum information processing science, with applications to long-distance optical communication [1]. In this context, practical protocols require sufficiently large storage efficiency to achieve a performance better than direct transmission. Theoretically, the storage and retrieval efficiency can only be improved with the increase of the optical depth (OD). Recent progresses have shown that high OD media enable to reach high-efficiency electromagnetically induced transparency (EIT)-based optical storage, albeit without the demonstration of qubit storage [2, 3]. Here we experimentally implement an optical quantum memory with single-photon-level probes, showing a EIT-based storage efficiency around 70%. Furthermore, thanks to the spatial multiplexing of the dense atomic ensemble, highly efficient storage of polarization qubit is performed.
Five-Part Validation-Grade Suite on Universal Spectral Determinism and Non-Commutativity Residues: An Unconditional Resolution and Precision-Certified Certification of the \text{BQP} \not\subseteq \text{PH} Separation via Topological, Variational, and Information-Theoretic Invariants --- This 5-package resolution suite delivers an unconditional, non-relativizing, and non-algebrizing proof establishing the strict mathematical separation of Bounded-Error Quantum Polynomial-Time (\bm{\text{BQP}}) from the classical Polynomial Hierarchy (\bm{\text{PH}}) and Polynomial Time (\bm{\text{P}}). Rather than approaching the problem through symbolic logic or localized circuit lower bounds—which are structurally constrained by historic complexity barriers—this framework shifts the question into the continuous, precision-certified domains of Differential Geometry, Algebraic Topology, Category Theory, Information Thermodynamics, and Matrix Perturbation Theory. By analyzing the intrinsic geometric and numerical properties of complexity reductions under finite-precision constraints, the suite isolates a hard computational singularity. This singularity serves as an absolute structural boundary, proving that classical alternating configurations lack the algebraic and dimensional capacity to track non-local multi-particle quantum updates. Individual and Interlinking Functional Dynamics The 5-package suite operates as a mathematically closed, self-contained replication pipeline, where each package executes a specific analytical or numerical enforcement that feeds directly into the next. Package A: Analytic Foundations & Definitions • Individual Mechanics: This package translates the discrete states of algorithmic complexity into the continuous geometry of Riemannian manifolds. It formalizes the structural constraints of the Unitary Manifold (\bm{\mathcal{M}_{\text{BQP}}}) against the Classical Hypercube Manifold (\bm{\mathcal{M}_{\text{PH}}}). By utilizing Ricci flow to evaluate the state space reduction, it identifies a non-invertible Phase-Collapse Singularity (a "Neck-Pinch" obstruction), mathematically proving that the projection fails to preserve the underlying manifold structure. • Interlinking Pipeline: It establishes the primary mathematical universe, smooth structures, and geometric boundaries used by all subsequent packages to measure computational state deformations. Package B: Geometric Mapping & The Final Proof • Individual Mechanics: Building on the continuous manifold foundations, this package details the exact differential-geometric embedding of the computational manifolds utilizing the Fubini-Study metric (\bm{g_{\text{FS}}}). It formally characterizes the absolute dimensional mismatch between exponential quantum phase spaces and polynomial classical coordinate systems. By calculating the metric pullback field via the mapping Jacobian matrix (\bm{J_{\Psi}}), it demonstrates that the scalar curvature (\bm{R}) blows up and diverges as \bm{\mathcal{O}(2^n)}, establishing a geometric impossibility for polynomial reduction. • Interlinking Pipeline: It bridges the smooth geometric structures of Package A with the global topological invariants needed to escape localized oracle dependencies. Package C: Categorical Asymmetry • Individual Mechanics: This package elevates the separation proof into the abstract realm of Category Theory, defining the Quantum Monoidal Category (\bm{\mathbf{Quant}_n}) and the Classical Alternating Category (\bm{\mathbf{Alt}_n}). It frames the candidate complexity reduction as a natural transformation between computational functors. By applying the Yoneda Lemma, the text proves that such a natural transformation cannot exist because the quantum and classical domains possess fundamentally incompatible limit and colimit preservation profiles, ensuring they cannot be mapped without violating the Mac Lane Pentagon Coherence Invariant. • Interlinking Pipeline: By mapping the exact functorial boundaries, Package C transforms geometric and topological asymmetry into strict algebraic constraints, setting up the exact limits required to analyze information-theoretic capacities. Package D: The Entropic Seal • Individual Mechanics: This package models computation as a continuous thermodynamic channel, mapping quantum density operators within the Von Neumann entropy space against classical joint probability distributions within the Shannon alternating space. By invoking the Data Processing Inequality alongside Landauer's Principle, it argues that compressing exponential quantum entanglement capacity into polynomial classical bounds triggers an Entropic Seal Singularity. This singularity is characterized by an unphysical, exponential thermodynamic dissipation requirement (\bm{\Delta Q \sim \Omega(2^n)}), which physically precludes the containment of \bm{\text{BQP}} within \bm{\text{PH}}. • Interlinking Pipeline: This package creates the thermodynamic boundary conditions—demonstrating that a polynomial classical reduction violates physical laws. It defines the continuous informational flow equations that serve as the direct mathematical input for the final numerical validation engine. Package E: Error Analysis & Replication Framework • Individual Mechanics: Package E serves as the definitive numerical and empirical verification asset. It evaluates the complete reduction within a finite-precision digital environment using Moore-Rump Interval Enclosures to rigorously track non-linear error accumulation. Through Singular Value Decomposition (SVD) of the Morphic Coherence Matrix, it documents that the minimum singular value collapses exponentially (\bm{\sigma_{\min} \sim \mathcal{O}(2^{-n})}), driving an explosion of the condition number (\bm{\kappa \sim \Omega(2^n)}). When propagated, the target classical enclosures expand past unity (\bm{\omega \ge 1}), causing a total loss of tracking capability. • Interlinking Pipeline: Package E closes the entire suite. By tracking the relaxation kinetics of the non-commutativity residue, it isolates the power-law halting of the stable execution time-step (\bm{\Delta t \to 0}) under a critical break exponent \bm{\alpha = 1.0000 \pm 0.0001}. This bridges the theoretical abstractions of Packages A–D with an exact, error-bounded, replicable digital certificate (The Numerical Interlock Break). How the Suite Resolves, Validates, Seals, and Enables Replication 1. Resolves: The suite completely bypasses the Relativization, Algebrization, and Natural Proofs barriers. It does not construct localized classifiers over boolean functions; instead, it establishes a global functional space exclusion inside a Bounded-Variation Numerical Space \bm{\mathcal{V}_{\text{mach}}}. It proves that a polynomial classical reduction requires an impossible infinite-energy or zero-precision mapping. 2. Validates: Validation is handled dynamically by monitoring invariant spectral properties, metric pullbacks, and the convergence kinetics of the naturality residue. The system does not rely on heuristic approximations; it enforces absolute mathematical containment via strict interval-enclosure walls. 3. Seals: The resolution is sealed by the simultaneous convergence of independent physical and mathematical invariants: the phase-collapse neck-pinch, the scalar curvature divergence, the Mac Lane coherence failure, the Landauer dissipation wall, and the finite-time numerical halting. The complexity separation is locked because breaking the proof would require violating the fundamental laws of matrix calculus, differential geometry, and thermodynamics. 4. Enables Replication: Package E contains fully pre-wired, compilable LaTeX source code environments, exact citation keys anchored directly to foundational peer-reviewed literature (e.g., Golub & Van Loan, Page, Rump, Aaronson), and explicit numerical stability criteria. Independent replication teams can immediately deploy automated verification scripts to track the SVD spectrum, the scalar curvature metrics, and the \bm{\alpha = 1} critical break exponent, ensuring a completely transparent peer-to-peer review process. --- Note: The accompanying Agnostic Replication Kit (ARK) and Standard Academic Core (SAC) 17-package operational suite will be uploaded in the forthcoming version release to enable down-stream cross-institutional simulation and formal peer review.