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MPCT-τ: Geometric Quantum State Control via Multi-Path Closure Time Theory

lichao

Published Jan 16, 2026• 0 citations
Publisher

Abstract

We present a novel quantum state control method based on Multi-PathClosure Time (MPCT) theory that achieves significant quantum stateamplification through purely geometric dynamics without externalHamiltonian driving. The MPCT-τ framework demonstrates: (1) Average 2.50×(maximum 3.55×) local state probability enhancement via weak periodicmarking, (2) Observation of quantized peak spacing following n² patternswith n²=4 corresponding to n=2, (3) Natural formation of multi-peaksuperposition states with average 3.4 significant peaks in geometric mode,and (4) Non-zero entanglement entropy averaging 0.44, confirming genuinequantum correlations. The core mechanism involves emergent time scalesfrom MPCT phase closures, geometric vibrations for coherence maintenance,and weak dissipation implementing the Principle of Existence Cost (PEC). Thiswork establishes a new paradigm for low-energy geometric quantum controlwith only three core parameters, potentially revolutionizing quantumcomputation approaches.Keywords: Quantum state control, Geometric quantum computation, Multipath closure, Emergent time, Quantum amplification, n² quantization

DOI
10.5281/zenodo.18266587

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We present a novel quantum state control method based on Multi-PathClosure Time (MPCT) theory that achieves significant quantum stateamplification through purely geometric dynamics without externalHamiltonian driving. The MPCT-τ framework demonstrates: (1) Average 2.50×(maximum 3.55×) local state probability enhancement via weak periodicmarking, (2) Observation of quantized peak spacing following n² patternswith n²=4 corresponding to n=2, (3) Natural formation of multi-peaksuperposition states with average 3.4 significant peaks in geometric mode,and (4) Non-zero entanglement entropy averaging 0.44, confirming genuinequantum correlations. The core mechanism involves emergent time scalesfrom MPCT phase closures, geometric vibrations for coherence maintenance,and weak dissipation implementing the Principle of Existence Cost (PEC). Thiswork establishes a new paradigm for low-energy geometric quantum controlwith only three core parameters, potentially revolutionizing quantumcomputation approaches.Keywords: Quantum state control, Geometric quantum computation, Multipath closure, Emergent time, Quantum amplification, n² quantization
This paper presents a novel quantum state control method basedon Multi-Path Closure Time (MPCT) theory. Through purely ge-ometric dynamical processes without external Hamiltonian driving,we achieve: (1) Significant quantum state amplification with aver-age 3.29× (maximum 3.70×) local state probability enhancement viaweak marking; (2) Observation of quantized peak spacing followingn2 patterns, specifically n2 = 4 corresponding to n = 2; (3) Naturalformation of multi-peak superposition states with average 3.2 signifi-cant peaks in geometric mode. The core mechanism involves MPCTclosure phase driving for temporal emergence, geometric vibration sta-bilization for coherence maintenance, and weak dissipation balancingimplementing the Principle of Existence Cost (PEC). This work es-tablishes a new paradigm for low-energy geometric quantum control,potentially revolutionizing quantum computation approaches.
Quantum entanglement, a cornerstone of quantum mechanics, presents a unique and perplexing phenomenon that challenges traditional geometric notions of space and time. This paper explores the potential of non-classical geometric interpretations to provide a more nuanced understanding of quantum entanglement, particularly within the context of quantum information and quantum computation. We propose a novel framework leveraging the probabilistic nature of entangled states to construct a mathematical model capable of simulating and analyzing quantum information's behavior within a geometric space. This research aims to move beyond conventional geometric representations by incorporating the inherent non-linearity and entanglement properties of quantum states. The core mechanism involves synthesizing quantum entanglement with geometric principles, resulting in a new quantum geometric model. The potential implications of this approach include enhanced computational efficiency and a deeper comprehension of the fundamental principles governing quantum information processing.
The geometric phase stands as a foundational concept in quantum physics, revealing deep connections between geometric structures and quantum dynamical evolution. Unlike dynamical phases, geometric phases exhibit intrinsic resilience to certain types of perturbation, making them particularly valuable for quantum information processing, where maintaining coherent quantum operations is essential. This article provides a review of geometric phases in the context of universal quantum gate construction, i.e., the geometric quantum computation (GQC), with special attention to recent progress in nonadiabatic implementations that enhance gate fidelity and/or operational robustness. We first review a unified theoretical framework that can encompass all existing nonadiabatic GQC approaches, then systematically examine the design principles of nonadiabatic geometric gates with a particular focus on how optimal control techniques can be leveraged to improve the accuracy and noise resistance. In addition, we conducted detailed numerical comparisons of various nonadiabatic GQC protocols, offering a quantitative assessment of their respective performance characteristics and practical limitations. Through this focused investigation, our aim is to provide researchers with both fundamental insights and practical guidance for advancing geometric approaches in quantum computing.
This paper introduces the MPCT-τ (Multi-Path Closure with adaptive Time-constant) protocol, a novel geometric approach for selective amplification of tar-get states in quantum networks. By leveraging geometric phase closure relationscombined with adaptive time-scale feedback and weak marking perturbations, weachieve significant amplification of specific quantum states. Numerical simulationsdemonstrate an average amplification factor of 7.44× for target states in 12-nodenetworks, substantially outperforming pure geometric evolution (0.94×). The sys-tem exhibits controllable entanglement entropy (ranging from 0.000 to 0.690) andshows promising scaling behavior with network size. The protocol operates throughthree interconnected mechanisms: (1) geometric phase closure enhancement viatriangular loops, (2) adaptive τ feedback based on closure errors, and (3) weaksymmetry-breaking marking. Our results provide a new paradigm for geomet-ric approaches to quantum state manipulation and offer potential applications inquantum-enhanced computation, state preparation, and quantum sensing.
Quantum Information Theory (QIT) represents a burgeoning field exploring the potential of quantum mechanics to revolutionize computation and communication. A core challenge lies in defining and manipulating probability, traditionally viewed as a statistical concept. This paper proposes a fundamental shift in perspective, formalizing "geometric probability" as a property inherent to quantum systems, and subsequently utilizing this concept to drive the development of novel quantum algorithms. The core claim centers on the idea that geometric probability offers a more direct and powerful pathway to understanding and exploiting quantum phenomena. We investigate the extension of probability to the space of geometric configurations, introducing a new type of probability intrinsically linked to quantum mechanics. This approach moves beyond traditional statistical interpretations, offering a deeper and more mathematically rigorous foundation for quantum information processing. The proposed framework necessitates a re-evaluation of fundamental probability principles, with the potential for significant advancements in algorithm design and the exploration of novel quantum computational paradigms. This work addresses the limitations of current approaches by introducing a geometric perspective that directly reflects the underlying structure of quantum mechanics.
This paper presents a novel computational framework, MPCT-τ, that demonstrates theemergence of hydrogen atom quantum orbitals from first principles using relational matrixevolution. Unlike traditional quantum mechanical approaches that start with predefinedwavefunctions, our method begins with a relational (density) matrix and evolves it throughMinimal Phase Closure Triangles (MPCT) operations. The framework successfully reproduces key quantum features: radial probability distributions with correct nodal structures(n−l−1nodes), peak positions following the n2 rule with less than 5% average error, andwavefunction similarities exceeding 99.9% compared to exact solutions. The MPCT closure mechanism provides a physical interpretation of quantum coherence formation, whiletarget guidance terms accelerate convergence. This work provides computational evidencesupporting relational interpretations of quantum mechanics, where quantum states emergefrom fundamental relational principles rather than being primitive entities