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This research aims to redefine the concept of absolute zero in computational systems to prevent irreversible information loss.

May 27, 2026Open Access

Breaking the Absolute Zero: CL5D Hybrid Model — A First-Principles Information Recovery Framework via Dynamic Variable Zero

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Randomized trial reveals a new information recovery framework, challenging assumptions of static states.

This research aims to redefine the concept of absolute zero in computational systems to prevent irreversible information loss.
Developed the CL5D Hybrid Model based on five-agent, six-block data filtering pipeline.
Simulated performance across 400 discrete spatial regions, assessing information recovery capabilities.
Implemented sequential filtering methods, including harmonic and permutation processes.
85 regions achieved Excellent Phase I scores (Cn ∈ [0.000123, 0.20]).
38 regions progressed to Phase II, while 3 regions reached Phase III (Cn → 0).
Successful demonstration of a quantum tunneling recovery loop with Wtunnel ∈ [3.60%, 19.20%].

Mrinmoy Chakraborty (2026) studied this question.

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May 27, 2026Open Access

View Full Paper

Ask AI

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Authors

Randomized trial reveals a new information recovery framework, challenging assumptions of static states.

This research aims to redefine the concept of absolute zero in computational systems to prevent irreversible information loss.
Developed the CL5D Hybrid Model based on five-agent, six-block data filtering pipeline.
Simulated performance across 400 discrete spatial regions, assessing information recovery capabilities.
Implemented sequential filtering methods, including harmonic and permutation processes.
85 regions achieved Excellent Phase I scores (Cn ∈ [0.000123, 0.20]).
38 regions progressed to Phase II, while 3 regions reached Phase III (Cn → 0).
Successful demonstration of a quantum tunneling recovery loop with Wtunnel ∈ [3.60%, 19.20%].

Mrinmoy Chakraborty (2026) studied this question.

View Full Paper

Ask AI

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