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Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
Unification of the Nature's Complexities via a Matrix Permanent-Critical Phenomena, Fractals, Quantum Computing,
Vitaly Kocharovsky1,2, Vladimir Kocharovsky2, Sergey Tarasov2
1Department of Physics and Astronomy, Texas A&M University, College Station, TX 77843-4242, USA.
This study reveals analytic connections between the matrix permanent and complex phenomena like critical phenomena, chaos, and quantum information. These insights stem from Ising model reductions and novel integral representations of the permanent.
Area of Science:
- Computational complexity
- Quantum information theory
- Statistical mechanics
- Number theory
- Fractal geometry
Background:
- The matrix permanent is a computationally challenging mathematical object.
- Its connections to diverse scientific fields are not fully understood.
- Understanding these connections can illuminate complex systems.
Purpose of the Study:
- To establish analytic relationships between the matrix permanent and various complex natural phenomena.
- To explore the permanent's role in critical phenomena, fractal structures, chaos, quantum information, and computational complexity.
Main Methods:
- Reduction of the Ising model (critical phenomena) to the matrix permanent.
- Development of four integral representations for the permanent.
- Utilizing fractal Weierstrass-like functions, complex variable polynomials, Laplace integrals, and the MacMahon master theorem.
Main Results:
- Demonstrated analytic relations between the matrix permanent and phenomena in physics and mathematics.
- Established the permanent as a unifying concept linking diverse complex systems.
- Provided novel integral representations offering new computational and theoretical avenues.
Conclusions:
- The matrix permanent serves as a fundamental link between seemingly disparate areas of science and mathematics.
- These findings offer new perspectives on complexity in critical phenomena, quantum systems, and computational problems.
- The developed integral representations are valuable tools for further research.
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