Quantum Optimal Control for Particles at Cross-Section in Nucleus

Citation: Quan-Fang Wang (2016) Quantum Optimal Control for Particles at Cross-Section in Nucleus. Int J At Nucl Phys 1:002 Copyright: © 2016 Quan-Fang Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. *Corresponding author: Quan-Fang Wang, Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, E-mail: quanfangwang_office@yahoo.co.jp Quantum Optimal Control for Particles at Cross-Section in Nucleus


Introduction
At the chemistry and physical fields, particle at matter (e.g. crystals, metal,…) surface had been researched for properties in chemical reactions. For instance, monolayers structure of a surface [1]; phase polarization control via coherent laser is understood by computational ability of supercomputer; control of electromagnetic radiation for plasmas design; optimization of 3D crystals to control electromagnetic field; and so forth. One of the achievements is awarded the Nobel Prize 2007 in chemistry [2] for Haber-Bosch process. Obviously, these outstanding contributions are laying on experimental methodology. On the other hand, quantum control in theory and in lab experiments are rapidly growing in a variety of fields, see previous papers [3 -7]. It had already being stepped forward to control elementary particles at nucleus. Lasting striving must boost the appearance of breakthrough soonerafter. Meanwhile, a few contributions on control of particles as they are on the surface. One extremely interesting topic in here is focus on many-body problem at surface [1]. The objective particles can be regarded as electrons, nano-particles, atoms and molecules at a practical matter surface [1,5,8]. For example, observing Scanning Tunneling Microscope image, rectangular corral in Figure 1A is representing quantum dots at a metal surface.

Many Body Physical Model
To deduce a rational physical control model for many-body Klein-Gordon-Schrödinger (K-G-S) dynamics system, full access for no control case can be found at Yukawa's contributed works [8]. In here, it is to capture concerned matter for determining control. Citing [10], and with outing lost of generality to consider x = (x 1 ,x 2 ,x 3 ) ϵ 2 R 3 , the governing system of 2n particles (nucleon ψ j , meson ϕ j , j = 1, 2,…, n) in the Yukawa interacting dynamics is ( ) where μ is magnetic moment of the particle and H is magnetic field. Hence, these given coupled equations for interacting mesons and nucleons in an external electromagnetic field: where e and e′ denote charges of corresponding neutron and meson. To access the physical quantities, cite [9] and [12]. Further, meson charge e e ′ = for π + and e e ′ = − for πas in Table 1. Thus, one can attain free (uncontrolled) K-G-S system via the formulations (1) and (2), or (3) and (4)   , kg H = −∆ , respectively. Then, in non-relativistic limit regime 0 < ε < 1 case, dissipative and damped Klein-Gordon-Schrödinger system can be deduced are the external potential of Hamilton operators, which given by coupling and external control forces. α is dissipative constant, γ is damped constant. Therefore, in the O(1) order speed of light regime ε = 1, the control model for K-G-S system of ψ j and ϕ j has the form of where u and v represent the external controlling inputs, and j = 1, 2,…, n.
In this work, K-G-S model (6) represents a many body dynamics full of n nucleons and n mesons at Yukawa interaction on a crosssection σ in nucleus. In particular, cross-section is probability for particles taking place at chemical reaction or physical interaction. At one moment t, control attention is the particle at a certain crosssection (intersecting surface). It is a kind of abstract surface (plane or curved). Theoretically, time depended controls u(t) and v(t) are corresponding to external ultra-short (e.g. femtosecond/attosecond) laser pulses in real lab, or specially indicating external force, such as control rod in nuclear fuel of neutrons reaction for uranium 235 U. More precisely, in the case of chain reaction for neutrons from nuclear fission of uranium. The moderator is to reduce the energy of neutrons and no capture many of them. In other words, neutrons need to react and change direction on colliding to nucleus and release energy, but not include fission. Not lacking of generality, carbon, beryllium, water and heavy water as mutated moderator. The control rod, inserted in moderator such as boron 5 B and cadmium 48 Cd, had the ability to absorb the neutrons effectively.
Inspired by neutrons chain reaction, it is clarifying to steer quantum control at nuclear scale by concentrating on particles at a cross-section σ in nucleus.
Rigorously, if taking superposition of control pulse u j , v j corresponding to ψ j and ϕ j as control source (laser), it is exclusive in this scope, see theoretic results in [14] for multi-body of neutrons, protons and mesons separately. In contrast, a unified control for one type of particles is assumed in here for supposing all particles by a certain control source. In domain Ω ⊂ R 2 , x x ∈ Ω for real-valued function ϕ j (t, x), introduce two Hilbert spaces H = L 2 (Ω) and 1 0 ( ) V H = Ω with usual norms and inner products [15]. Thereby, Gelfand triple spaces V↪H↪V' are continuous, dense and compact. H Ω for ϕ j , respectively [16]. Denote 2 = * is the complex conjugate (dual) space of V. Actually, ( ,ℍ) is a complex Gelfand triple spaces interaction of cross-section in nucleus as target. It is a convenient way to supply the arguments on cross-section in nuclear physics as background preparation. In atomic physics, cross-section indicates the probability that a particular interaction taking place among particles. The value of cross-section for any interacting process is depending on the particles under bombardment and upon energy of bombarding particles. Suppose n particles per second are incident on a target area Ω containing N particles, and there are n r of the incident particles produce a given nuclear reaction. If n r < n, then n r = nNσ/Ω, where σ is the cross-section for the reaction; σ can be regarded as a disk of area σ surrounding each particle. The unit of effective crosssection area of nucleus is barn, and one barn equal to 10 -28 m 2 . To elementary particle, nucleus radius (or Bohr radius) is closely to 1.2 × 10 -15 m times cube root of nuclear number, or atomic mass. Crosssection unit barn is enough to measure the likelihood of one kind of particle interacting to another, especially the chance of a neutron being captured by causing fission in a nucleus. It could be considered as an area centered on a nucleus; the bigger the area, the greater the likelihood of the neutron being captured. The number of barns is determining of fission or capture cross-section. Neutron capture cross-sections can range from 0.01 to millions of barn [mb]. A view supporting by the extension of a unit of cross-section is shed, it equal to 10 -24 barn. In Table 1, fundamental physical constants are inclusive for elementary particles.

K-G-S Control Problems
Consider particles appeared at a cross-section σ of abstract surface in nucleus [13]. Despite of particles at cross-section, theoretic discussion is not limited to two dimensions. Let Ω be an open bounded set of R 3 and Q = (0, T) × Ω for T > 0. Thus, for x = (x 1 , x 2 , x 3 ), (t, x) ϵ Q. Suppose 2n particles involving Yukawa interaction [8] at a cross-section σ in nucleus, hence, Klein-Gordon-Schrödinger many-body dynamics is taking the form of where ħ is reduced Planck constant. M is mass of nucleon, and m is for meson. c is speed of light, i is imaginary part unit of scalar complex space ℂ. Coefficients α, γ are positive constants at dissipative and damped terms. A complex-valued function ψ j (t,x) (0, ; ), x) of nonsense, multiplied control terms to make well-posed in (6) and meaningful in practice.
If ground states 0 ψ ∈ n ϕ 0 ϵ V n , ϕ1 ϵ H n , then for control u(t) ϵ u at arbitrary time t ϵ (0, T), above setting to assure that there exist a weak solution (ψ(u), ϕ(u)) belonging to solution space in (6) and weak form (7) too. It means that one wave packet ψ j can represent one nucleon (n or p), and another wave packet ϕ j can represent one meson (π + or π -). The details interpretation in the equation (6). Qualitatively speaking, those solutions ψ j , ϕ j are sufficiently smooth.

Control Theory for Particles at Cross-section
Start quantum nucleus control [13]. Suppose Two fundamental problems of quantum optimal control theory is to find and characterize quantum optimal control u* = (u*, v*) such that * ( ) inf ( ). Theoretically apply quantum control theory [4] to K-G-S many body system (6) to result that: at a cross-section σ in nucleus, for each particle , , 1, 2,..., , is continuous. Quantum optimal control u* = (u*, v*) is characterized by simultaneously optimality system (Euler-Lagrange system) as:  (9), respectively. It is well known that inequality (11) is the optimality necessary condition of quantum optimal control u * = (u * , v * ).
For Lagrange principle energy calculation, using vector ( , , ) to write K-G-S many-body system (6) for one j-th particle in matrices as Then for cost function (8), Lagrangian function of many body K-G-S control model 960 is generally in the form of Notable that, if needing consideration of special curved surface inside a matter or metal, abstract surface concept would be wellposed as extension. Vice versa, in practice, taking a real problem as abstract surface or dealing as boundary problem, it is credible case by case. Comprehensively, in controlling of nuclei, it is good at adopting cross-section as abstract surface.

Computational Approach
At the view point of physics, for practical formulation and plots of a cross-section, refer to section 39-40 in distinguishing paper [12]. For multi-body decay or collision, the calculation for mass of effective particles is extensively discussed in section 38 [12] in the case of production of n-body final state. The differential expression of a cross-section of two-body is worked for uncontrolled particles. Neglecting details quantitative calculation in here. This work is to introduce the concept of abstract surface to surface science and quantum control fields. Cross-section as a concept is captured as one example of abstract surfaces theoretically. Of course, all the property of a physical cross-section is working for the extended case of control purpose. It is a tough task to fill the gap, and make the interface from inside atomic structure to abstract surface and quantum control.
Reviewing the successful algorithms for optimal control in the area of quantum system, the significant ones are iteration learning algorithm [3], genetic algorithm, evolutional algorithm. Former paper [20] is for case of n = 2 quantum control typically. In this paper, for finding quantum optimal u * , a reasonable semi-discrete algorithm (spatial variable x discrete, time t continuous) is employed for controlling many-body dynamics at a cross-section σ of nucleus. The wave-particles duality and uncertainty principle [21] permit the ideal and reliable scheme. Finite element method and nonlinear (updated) conjugated gradient method composed a convergent numerical paradigm, refer to [4], [6] and [7]. The convergence is guaranteed in the first order. To avoid complication, take real atomic scale as Table  1    3.0 10 ∈ = × in cost function (8). Therefore, by limited iteration steps, simulating probabilities of nucleons ѱ j (t; x) at cross-section σ in nucleus are listed in Figure 3. The amplitude of ѱ j are changing from scale 2 a.u. to 10 23 a.u. (Notice that if taking amplitudes of initial controls as 10 -24 , by converting, final amplitude is to 10 -1 , all the normalizing probability ѱ j < 1 for 1 ≤ j ≤ n, it is a good agreement to physical result).
In the mean time, for above particles, corresponding contour plots of nucleon ѱ j (t; x) refer Figure 4 at same atomic scale of spatial x. Changing of the probabilities is for all particles as time varying.
Similarly, simulation results for probabilities of mesons ϕ j (t; x) at cross-section σ in nucleus are given in Figure 5. Clearly, from positive to negative, the probability of meson is changed dramatically than that of nucleon. Finally, the amplitude of ϕ j are changing from scale 2 a.u. to -10 11 a.u. (Analogously, normalizing initial controls to 10 -24 gauge, converted amplitude of meson ϕ j from 10 -24 to final 10 -13 , it is close the neutron radius (1), the right distance for meson into or escape from a neutron at a cross section σ if the meson in the cloud of the neutron. Clearly, all the probability ϕ j < 1 for 1 ≤ j ≤ n, and crosssection σ is a confidence region as precise measurement).
From Table 1, meson mass m ≪ nucleon mass M (pion π mass is 0.148 times proton mass). The influence of external force is greater on mesons than on nucleons. Certainly, it is coincide to physics experiments. At each iteration, one can find corresponding contour plots of ϕ j (t; x) in Figure 6 for mesons changing as time increasing. Remarkable that the interaction between nucleons at nucleus is in huge and short range. Realistic quantum control at nuclei is much more difficult and complicated than theoretic prediction. Numerous problems needs us to solve for getting definite and correct conclusion: we worry about break the particle system itself by quantum measurement, and make control nonsense. we worry whether the results what we obtained is controlled the particle; and so on. These tough issues are laying on the physics and chemistry field in the near future.
Computational approach is occurred at two spatial dimension case to fit disklike cross-section σ in nucleus as guidance. For various irregular shape cross-section, by adequate normalization or planarization, the bright idea can be extended to a broad class abstract surface inside of matter or metal. Additionally, comparison to STM image could be found from a large number of papers at atom or molecular manipulation of quantum dot.

Discussion
For control of one type particles in cost function (8), it concerns nuclear reaction, such as neutron absorption cross-seciton of uranium 235 U fission to neutrons by inserting control rod for nuclear fuel. Absolutely, if require maximum of first term in criteria cost function (8), it makes emission of huge energy from chain reaction of neutrons. Cost function optimal value 5.17419 × 10 23 a.u. is exactly indicating this case. Theoretical conclusion and numerical approach sufficiently verified each other, that also discriminate the uncertainties of separating or isolating simulation from realistic physics fact. It is convinced that computational result is certainly reflecting the situation of particles at a cross-section σ under proper control. Definitely, calculation of Lagrange function and Hamiltonian function H(t) for particles at a cross-section is satisfying for status of dynamical controlling. For given trajectories in spatial axes, one can define and calculate total energy potential function, Winger function as in [20] by sum of all the particles.
Concluding remark, the newly obtained results interpret and suggest that one can do control nuclear reaction at cross-section in nucleus at a substantial way. It cannot be crucial for solidly supporting by reliable particle physical concept of cross-section, developed surface science and successful quantum control theory.
Remarkably, the concept of abstract surface is breaking the subjects of definition on basic and practical surface, throughout all the scientific fields including mathematics, chemistry, physics and other areas. Beside cross-section in nucleus, abstract surface can be immediately extended and suitable to other intersecting surface. Hopefully, a completely different consideration for surface science and quantum control should be appeared. A great deal researches would be straightforwardly generated and developed by the benefit of this original work. Numerous mysteries are arising in here: quantitatively calculating the practical control force in nucleus at details; new type of physical control model; new control equipments and methodologies; new theory establishments; nuclear-scaled numerical approach; nuclear based quantum computation; and so forth. Apart from sophisticated control and traditional surface, a transparent pathway is found from surface science to nucleus. It is not just limited on quantum control, a perfect shortcut and interface to start a lot of discoveries and inventions from inside to outside. It is a confident insight along the direction to one of frontier realms.

Questions
A few questions are asked on quantum control nucleus at crosssection. i) Why cross-section is selected for controlling particles in nuclei, not other mechanism or methodologies?
In fact, particles interacted others just like a kind of random Brown motion, or scatter. It is nonsense if tracking one particle using a laser-like force (gamma ray, γ, massless photon). As is well known, annihilation of electron-positron pair to produce fermion antifermion pair , e e f f + − → and Tevatron proton-proton collision As k ≤ 5, one circle is representing a contour plot of a particle appeared at interaction of Yukawa coupling in cross-section σ at nucleus. After k ≥ 6, the probability is tend to unbounded, all the particles blow up (or escape) from the cloud of neutron as time increasing. molecular using tip of STM, it is incredible using one particle to interact (or collision) to another [7], At current experimental level, LHC, one can produce a large number of particles (electron, proton)to interact or collide other large number of particles (positron, proton). It is quite like detect or discover a new particle, such as Higgs. For a tiny particle, its three-dimensional motion is not so important than that on twodimensional cross-section. Although no awareness, indeed, it had and have being adopted on the CERN, SLAC, LHC, ALICE, etc. All detected result is intersected 2D picture of particles. In resultant, it is enough to control particle through cross-section at nucleus.
ii) How control takes place at cross-section?
Actually, aiding of the concept of cross-section, one can do control particles at nucleus directly, immediately and straightforwardly. At least, it is sufficiently for controlling particle now quantitatively, calculably in real physical lab. Theoretically, one can freely choose any cross-section for control purpose. Analytically, particles scatter to each other elastically or inelastically, using their incident angle to calculate and formulate the differential of cross-section dσ. In converting to a solvable differential equation mathematically, no problems there whatever kind of particles involving control. Not lost of generality, cross-section give us huge space to do control in nuclei scale. In practice, benefitting from mutated equipments, one can control particles just like detect them.
iii) Never use one force to control or track a particle trajectory one by one in 3D nucleus solidly?
It is completely depended on the new instruments or improved equipments. Nowadays, one can step-forward to cross-section firstly.
iv) It needs clarifying that control at cross-section just in one atom?
No, Control taking place in a atom, it is a limited theoretic case. Neutrons chain reaction indicate a amount of neutrons fission from 235 U, and non-stopping collide to others. It is covered in the scope of quantum control.

Conclusions
Consequently, initially in this work, controlling of many-body problem is explored for particles at rational abstract surface of a cross-section σ in nucleus. Particle is changing from ground state to exciting state by acting of appropriate external forces. Theoretical and computational study is fairly interesting in the area of particle and quantum physics. To do control at abstract surface would be a new field of surface science in laboratory experiments aiding of modern advanced optical tools [22].