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The hypothesis suggesting that the physical process of quantum tunneling can be used as a form of cancer therapy in electron ionization radiotherapy was suggested in the IEEE International Conference on Electric Information and Control Engineering by G. Giovannetti-Singh (2012) [1]. The hypothesis used quantum wave functions and probability amplitudes to find probabilities of electrons tunneling into a cancer cell. In addition, the paper explained the feasibilities of the therapy, with the use of nanomagnets. In this paper, we calculate accurate probability densities for the electron beams to tunnel into cancer cells. We present our results of mathematical modeling based on the helical electron wave function, which “tunnel” into a cancer cell, therefore ionizing it more effectively than in conventional forms of radiotherapy. We discuss the advantages of the therapy, and we explain how quantum mechanics can be used to create new cancer therapies, in particular our suggested Quantum Electron Wave Therapy.

This paper builds on an earlier model suggesting that quantum tunneling techniques which, in theory can be used successfully in cancer therapy [

• In addition, the electron beam (which tunnels) can travel directly to the nuclei of the cancer cells.

• It is more direct, as instead of harming the surrounding cells it only targets the cancer cells through careful instrumentation and accuracy.

• According to the laws of momentum, there will be no impact from the electrons as they aim into the cells’ nuclei because if they tunnel, they must be travelling as a wave.

Nevertheless, [

In this paper, we give accurately calculated figures of the probability density from the one-dimensional, time independent electron wave function, and we discuss the graph describing the electrons’ helical motion.

Using the three parametric functions below, we combine them to create a helical graph which denotes the wave function, and hence the trail of an electron through space as a wave.

where x, y and z are the three Cartesian axes, M is the modulus of the helix, also equal to the amplitude of the helical wave. The parameter M is introduced to differentiate between wave functions of helixes of different amplitudes. is the phase of the wave.

Given that:

[

In this case, the spiral will be no more than five times the diameter of the electron, therefore we can assume that. Using this figure, we can make calculations for the electron gun model [

The process of mathematically modeling the electron wave function will find the realistic most efficient distance from the tumor by carrying out a triple integration of the wave function through a cancer cell (assuming that a cell is mostly H_{2}O), to find a probability density of the electron tunneling into the cell [

We calculate the minimum and maximum energy required for the electron to be in waveform from Planck’s equations for the energy of a wave; E = hv [

This equation leaves us with the simple relation between the frequency (f) and the phase (). As the coefficient of increases, the denominator of f divides by two.

However, the frequency of the wave is a limit because although it will continue to approach zero, it will never reach, therefore, the definitions between particle and wave becomes fuzzy.

JB Hagen (2009) [

We now substitute into Planck’s equation for the energy of a wave, and we obtain the values:

This is the minimum energy required for an electron to tunnel into the cancer cell. In addition, we can calculate the maximum energy that the electron can contain to be a wave.

As the electron wave-function verges towards the limit of a straight line rather than the helix graph, the behavior of the electron begins to be more particle-like, as it no longer can pass through “barriers”, and must give in to the laws of momentum. Einstein’s equation for the momentum of particles is the following: [

Therefore, we can calculate the electron’s momentum of impact on the cell wall. Given that the equation for kinetic energy is, we isolate v to then calcu-

late Einstein’s equation for the momentum of a particle.

Therefore, by substitution, we calculate the velocity of the electron as 0.0134850805746 ms^{–1}. Now we can calculate the momentum of the electron to be:

We calculate a one-dimensional probability density of an electron appearing “past the barrier” into the cancer cell. We obtain this figure from the one-dimensional wave function: ^{1} [

The integral which calculates the probability density function is calculated between two points, in this case, the diameter of a cancer cell [

In this example, the integral would be:

We calculate the integral from. M is the

modulus, the radius from the centre of the corkscrew to the limit.

We first normalize the equation into the form of a definite integral between ∞ and –∞.

We now obtain a numerical value for the probability density distribution:

We conclude this paper by providing numerical values for a probability density of a single electron tunneling into a cancer cell. In addition, we multiply this value by the number of electrons that we will shoot into a cancer cell, therefore increasing the electrons’ probabilities of tunneling. Given that in an electron beam with the width of 1 cm, there can be 5 × 10^{13} electrons, and our beam can be up to 10 cm long, we therefore calculate the volume of the beam (approximating a cubic prism) as being 10 cm^{3}. In addition, we approximate that 1.25 × 10^{48} electrons can be within the space. According to the probability density which we have obtained, if we multiply our value of 5 × 10^{–37} by 10^{36} (the maximum number of electrons which we want to use) we obtain a probability of 0.5, which is a figure with a reasonable probability to allow electron wave therapy to commence.

We would like to thank Hannah Jones, Adam Biltcliffe and Professor Emanuele Giovannetti for constant support and fruitful discussions on the research.