1. 2. Quantum theory: techniques and applications 2.1.Translational motion 2.1.1 Particle in a box 2.1.2 Tunnelling 2.2. Vibrational motion 2.2.1 The energy levels 2.2.2 The wavefunctions 2.3. Rotational motion 2.3.1 Rotation in 2 dimensions 2.3.2 Rotation in 3 dimensions 2.3.3 Spin translation vibration rotation The energy in a molecule is stored as molecular vibration, rotation and translation.

2. 2.1 The translational motion 2.1.1 Particle in a box For a free particle (V=0) travelling in one dimension, the Schrödinger equation has a general solution  k, where k is a value characteristic of the energy (eigenvalue) of the particle E k.  k = Ae ikx + Be -ikx For a free particle, all the values of k, i.e. all the energies are possible: there is no quantization Particle of mass m is confined in an infinite square well. Between the walls: V=0 and the solution of the SE is the same as for a free particle.  k = C sinkx + D coskx NB: with D= (A+B) C= i(A-B) A. boundary condition (BC): The difference with the free particle is that the wavefunction of a confined particle must satisfy certain constraints, called boundary conditions, at certain locations.  BC1:  k (0)=0 →  k (0) = C 0 + D 1=0 → D=0 → after BC1:  k = C sinkx

3.  BC2:  k (L)=0 →  k (L) = C sinkL =0 → absurd solution: C=0, it gives  k (x)=0 and |  k (x)| 2 =0… the particle is not in the box! → physical solution: kL= n  with n=1,2,… (n  0 is also absurd)  The wavefunction  n (x) of a particle in an infinite square well is now labeled with “n” instead of k. Because of the boundary conditions, the particle can only have particular energies E n : B. Normalization: Let’s find the value of the constant C such that the wavefunction is normalized.

4. C. Properties of the solutions  The solutions are labeled with n, called “quantum number”. This is an integer that specifies the energetic state of the system. In order to fit into the cavity,  n (x) must have specific wavelength characterized by the quantum number. With an increase of n,  n (x) has a shorter wavelength (more nodes) and a higher average curvature → the kinetic energy of the particle increases.

5.  The probability density to find the particle at a position x in the box is The larger n, the more uniform  2 n (x): the situation is close to the example of a ball bouncing between two walls, for which there is no preferred position between the two walls.  The classical mechanics emerges from quantum mechanics as high quantum numbers are reached.  The zero-point energy: because n>0, the lowest energy is not zero but E 1 =h 2 /(8mL 2 ). That follows the Uncertainty Principle: if the location of the particle is not completely indefinite (in the well), then the momentum p cannot be precisely zero and E >0.  The energy level separation  E=increases with n.  E decreases with the size L of the cavity  for a molecule in gas phase free to move in a laboratory-sized vessel, L is huge and  E is negligible: the translational energy of a molecule in gas phase is not quantized and can be described in classical physics.

6. 2.1.2 Tunnelling If the energy E of the particle is below a finite barrier of potential V, the wavefunction of the particle is non- zero inside the barrier and outside the barrier.  there is certain probability to find the particle outside the barrier, even though according to classical mechanics the particle has insufficient energy to escape: this effect is called “tunnelling”.  Transmission probability of the particle through the barrier.  For x<0: the wavefunction is that of a free particle:  (x<0)= Ae ikx + Be -ikx with kħ=(2mE) 1/2. Ae ikx represents the incident wave, Be -ikx corresponds to the reflected wave bouncing on the wall.  For x>L: V=0, it’s like for a free particle:  (x>L)= A’e ikx + B’e -ikx with kħ=(2mE) 1/2. But, the direction of the transmitted wave is (Left  Right), hence B’=0 since B’e -ikx is a wave travelling in the (Right  Left) direction. A’e ikx represents the transmitted wave. X=0X=L

7. x X=0X=L  For 0<x<L: the wavefunction must be solution of the SE for a particle in a constant potential V. The general solutions are  (0<x<L)= Ceqx + De-qx with qħ=[2m(V-E)]1/2. NB: here, the two exponentials are real!  The probability to find the particle in the barrier decreases exponentionally with the distance x.  The probability to find a particle in the region x<0, which travels L  R, is proportional to |A| 2  The probability to find a particle in the region x<0, which travels R  L, is proportional to |B| 2  The probability to find a particle in the region x>L, which travels L  R, is proportional to |A’| 2

8.  The probability that the particle crosses the potential barrier from x L is given by the transmission probability: T=|A’/A| 2  The probability to be reflected on the barrier is characterized by the reflection probability: R= |B/A| 2 Since if the particle is not reflected, it is transmitted: T+R=1 with  =E/V and q=(1/ħ) [2m(V-E)] 1/2  Considering that the wave function must be continuous at the edges of the barrier (for x=0 and L), as well as the derivative of the wave function; it is possible to extract the transmission probability: For a thick barrier qL>>1: T ≅ 16  (1-  )e -2qL

9. For a thick barrier qL>>1: T ≃ 16  (1-  )e -2qL The transmission probability decreases exponentially with the thickness of the barrier and with m 1/2.  T is increased also when the energy of the particle E is higher.  Tunnelling is important for electrons, moderately important for protons (quick acid-base equilibrium reaction), and negligible for heavier particles. J=4 J=10 J=2 A large value of J corresponds to a heavy particle or a wide barrier L

10. In 1965, after he assisted in the design of Intel’s 8088 processor, Gordon Moore proposed that transistor density per die would double every year after that. “Moore’s Law”, as it was coined, led computer manufacturers to reduce the size of transistors at a rapid rate. The benefits from smaller transistors are threefold: 1. Smaller transistors switch faster which leads to faster processing speeds. 2. Smaller transistors allow more complex processors to be built in the same space. 3. Smaller transistors allow for a greater number of processors to be built within the same space. As a result of these economic and technical factors Intel’s first PC chip, the 8088, had 29,000 transistors with a critical dimension of 3 microns (micrometers). The Intel Pentium II processors has 7.5 million transistors with a critical dimension of.25 microns. For thirty years Intel and other chip makers have spent billions in research and development to continue product maturation at the rate explained by Moore. Moore’s Law Example 5: Resonant tunneling diodes

11. The use of a barrier to control the flow of electrons from one lead to the other is the basis of transistors. The miniaturization of solid-state devices can’t continue forever. That is, eventually the barriers that are the key to transistor function will be too small to control quantum effects and the electrons will tunnel when the transistor should be off. This is a consequence of the particle-wave duality of electrons, and the single electron characterization of Schrodinger’s equation. At the quantum level the wave nature of the electron will allow the electrons to tunnel through the barriers and create a current. Quantum effects are seen at dimensions less then a micron, but the tunneling effect is expected to be dominant when the critical dimensions approach the wavelength of an electron (approx. 10nm). Ingenious devices exploit the quantum effects of miniature structures to control electrical current. These devices operate by single electron control, and they require that electron movement be confined to two (quantum well), one (quantum wire), or zero (quantum dot) dimensions. In these devices small voltages heat electrons rapidly, inducing complex nonlinear behavior; the study of “hot” electrons, as they are termed, is central to the further development of these devices. Two such devices are the Resonant Tunneling Diode and the Resonant Tunneling Transistor. These devices create a new “switching” mechanism that requires controlled quantum tunneling to function. The Resonant Tunneling Diode (RTD) consists of an emitter and a collector separated by two barriers with a quantum well in between these barriers. The quantum well is extremely narrow (5-10nm) and is usually p doped. Resonant tunneling across the double barrier occurs when the energy of the incident electrons in the emitter match that of the unoccupied energy state in the quantum well. An illustration of the double barrier Resonant Tunneling Diode is shown in Figure 4. When the quantum well energy level is below E0, no current may flow by the tunneling mechanism. When the bias is such that the energy level in the quantum well is aligned with a population of electrons above E0 in the emitter, the electrons may tunnel from the emitter, to the quantum well, and through to the collector. As the voltage is increased, the flow of electrons drops as the electrons are unable to tunnel above the resonant level. As the voltage bias continues to increase, the current begins to increase again, this time as a result of the electrons flowing over the top of the barriers. What results is an S shaped IV curve for the Resonant Tunneling Diode shown in Figure 5. There are several proposed applications of the resonant tunneling diode. The interesting S shaped IV characteristic makes multistate memory and Logic circuits a possibility. Several resonant tunneling diodes can be combined to form multiple peaks. The implication is that there can be multiple operating points for a circuit. Rather then determining if the memory cell or logic state is a one or a zero, we can determine if it is any number of states. The tunneling diode has not yet been fabricated using Silicon based technology, and the operating temperature of the GaAs devices fabricated is below room temperature. Repeatable control of the size of the quantum well and other structures is not yet realizable with current technologies. These and other manufacturing issues must be resolved before the resonant tunneling diode is a widely used component. Resonant Tunneling Diode

12. http://www.mitre.org/research/nanotech/quantum_dot_cell1.html

14. Forms of carbon: diamond graphite fullerenes nanotubes

15. “ Single-electron transistors (SETs) have been proposed as a future alternative to conventional Si electronic components. However, most SETs operate at cryogenic temperatures, which strongly limits their practical application. Some examples of SETs with room- temperature operation (RTSETs) have been realized with ultrasmall grains, but their properties are extremely hard to control. The use of conducting molecules with well-defined dimensions and properties would be a natural solution for RTSETs. We report RTSETs made within an individual metallic carbon nanotube molecule. SETs consist of a conducting island connected by tunnel barriers to two metallic leads. For temperatures and bias voltages that are low relative to a characteristic energy required to add an electron to the island, electrical transport through the device is blocked. Conduction can be restored, however, by tuning a voltage on a close-by gate, rendering this three-terminal device a transistor. Recently, we found that strong bends ("buckles") within metallic carbon nanotubes act as nanometer-sized tunnel barriers for electron transport. This prompted us to fabricate single-electron transistors by inducing two buckles in series within an individual metallic single-wall carbon nanotube, achieved by manipulation with an atomic force microscope (AFM)(Fig. C and D). The two buckles define a 25-nm island within the nanotube.” in “Carbon nanotube single-electron transistors at room temperature” by Postma-HWC; Teepen-T; Zhen-Yao; Grifoni-M; Dekker-G in Science. vol.293, no.5527; 6 July 2001; p.76-9. Carbon nanotube single-electron transistors

16. 2.2 The vibrational motion A particle undergoes harmonic motion if it experiences a restoring force proportional to its displacement Classical mechanicsQuantum mechanics  Energy separation : constant = ħω  Zero-point energy : E ( =0) =½ ħω  classical limit : for a huge mass m, ω is small and the energy levels form a continuum Eigenvalues:

17. A. The form of the wavefunctions N is the normalization constant NB: = 0  the oscillator is equally likely to be found on either side of x=0, like a classical oscillator.

19. B. The virial theorem In a 1-dimensional problem with a potential V(x)= x n, the expectation values of the kinetic energy and the potential energy verify the following equality: 2 = n ; with the total energy: = +  The harmonic oscillator, V=½kx 2, is a special case of the virial theorem since n=2 and we have seen that we also know that = + =

20. 0 x tp C. Quantum behavior of the oscillator  The probability to find an oscillator (in its ground state: =0) beyond the turning point x tp (the classical limit), is: Classical behavior Quantum behavior  In the harmonic approximation, a diatomic molecule in the vibration state = 0 has a probability of 8% to be stretched (and 8% to be compressed) beyond its classical limit. These tunnelling probabilities are independent of the force constant and the mass of the oscillator.  Classical limit: for huge (the case of macroscopic object), P  0 Classical behavior Quantum behavior -x tp 0 x tp

21.  2.3 The rotational motion 2.3.1 Rotation in 2 dimensions  Classical mechanics: The angular momentum |L z |= ∓ pr The moment of inertia I= mr 2  In quantum mechanics: not all the values of L z are permitted, and therefore the rotational energy is quantized. Where does this quantization come from?  The wavelength of the wavefunction  (  ) cannot have any value. When  increases beyond 2 , we must have  (  )=  (  +2  ), such that the wavefunction is single-valued: |  (  )| 2 is then meaningful.  The wavelength should fit to the circumference 2  r of the circle. The allowed wavelengths are = 2  r/m l ; where m l is an integer that is the quantum number for rotation. No physical meaning L z

22. A. Schrödinger equation for rotation in 2D Go to cylindrical coordinates: x= r cos  ; y= r sin   Schrödinger equation:  The normalized general solutions: have to fulfill the cyclic boundary condition  (  )=  (  +2  ): 2m l = an even integer  m l = 0, ∓ 1, ∓ 2, ∓ 3,...  The eigenvalues are given by NB: With m l 2, the energy does not depend on the sense of rotation

23.  For an increasing m l, the real part of the wavefunction has more nodes  the wavelength decreases and consequently, the momentum of the particle that travels round the ring increases (de Broglie relation): p=h/  The probability density to find the particle in  is a constant: |  (  )| 2 =1/2   knowing the angular momentum precisely eliminates the possibility of specifying the particle’s location: the operator position and angular momentum do not commute: uncertainty principle. Plots of the real part of the wavefunction  (  )

24. B. The angular momentum operator L z u x, u y, u z are unitary vectors Classical mechanics Quantum mechanics Correspondence principles (chap 1) cylindrical coordinates: x= r cos  ; y= r sin  What are the eigenfunctions and eigenvalues of L z ? Let’s apply L z to the wavefunctions that are solutions of the Schrödinger equation:  The solutions of the Schrödinger equation, eigenfunctions of the Hamiltonian operator, are also eigenfunctions of the angular momentum operator L z : H and L z are commutable: the energy and the angular momentum can be known simultaneously.   ml (  ) is an eigenfunction of the angular momentum operator L z and corresponds to an angular momentum of m l ħ. Vector representation of angular momentum: the magnitude of the angular momentum is represented by the length of the vector, and the orientation of the motion in space by the orientation of the vector

25. 2.3.2 Rotation in 3 dimensions x y z r A particle of mass m free to travel (V=0) over a sphere of radius r. spherical coordinates: x= r sin  cos  ; y= r sin  sin  ; z= r cos  ∂ r = 0 (the particle stays on the sphere) is the Legendrian  The Schrödinger equation is : with Since I = mr 2, we can write:

26. At the moment, m l 2 is just introduced as an arbitrary constant  We consider that  ( ,  ) can be separated in 2 independent functions: → the Hamiltonian can be separated in 2 parts → the SE is divided into 2 equations Same as for the rotation in 2-D with The solutions  should also fulfill the cyclic boundary condition:  (  )=  (  +2  ); because of that another quantum number “l” appears and is linked to m l. P l m (cos  ) is a polynomial called the associated Legendre functions. N lm is the normalization constant. l = 0, 1, 2, 3,… |m| ≤ l + m l 2 -m l 2

27.  The normalized functions  lm ( ,  )=Y lm ( ,  ) are called spherical Harmonics The figure represents the amplitude of the spherical harmonics at different points on the spherical surface. Note that the number of nodal lines (where  lm ( ,  )=0) increases as the value of l increases: a higher angular momentum implies higher kinetic energy.  From the solution of the SE, the energy is restricted to: → The energy is quantized and is independent of m l. Because there are (2l+1) different wavefunctions (one for each value of m l ) that correspond to the same energy, the energetic level characterized by “l” is called “(2l+1)-fold degenerate”.

28. http://www.sci.gu.edu.au/research/laserP/livejava/spher_harm.html http://mathworld.wolfram.com/SphericalHarmonic.html Spherical harmonics m l = 0: a path around the vertical z-axis of the sphere does not cut through any nodes. For those functions, the kinetic energy arises from the motion parallel to the equator because the curvature is the greatest in that direction.

29.  The comparison between the classical energy E=L 2 /2I and the previous expression for E, shows that the angular momentum L is quantized and has the values ( → length of the vector): L={l(l+1)} 1/2 ħ ;l= 0, 1, 2,...  As for the rotation in 2-D, the z-component L z is also quantized, but with the quantum number m l ( → orientation of the vector L): L z = m l ħ ;m l = l, l-1, …, -l  For a particle having a certain energy (e.g. characterized by l=2), the plane of rotation can only take a discrete range of orientations (characterized by one of the 2l+1 values m l )  The orientation of a rotating body is quantized Vector representation of the angular momentum

30. While L 2 and L z commute, L z and L x (or L y ) do not commute  L z and L x (or L y ) cannot be measured accurately and simultaneously  If L z is known precisely, L x and L y are completely unknown: representation with a cone is more realistic than a simple vector. It means that once the orientation of the rotation plane is known, L x and L y can take any value. Cone representation of the angular momentum Notation: L is also often written J in textbooks

31. 2.3.2 Spin of a particle  The wavefunction of the particle has to satisfy specific boundary conditions for this motion (not the same as for the 3D-rotation). It follows that this spin angular momentum is characterized by two quantum numbers:  s (in place of l) > 0 and ∈ R → the magnitude of the spin angular momentum: {s(s+1)} 1/2 ħ  m s ≤ |s| → the projection of the spin angular momentum on the z-axis: m s ħ The spin “s” of a particle is an angular momentum characterizing the rotation (the spinning) of the particle around its own axis. NB: In this course the spin is introduced as such. But in the Relativistic Quantum Field Theory, the spin appears naturally from the mathematics.  Electrons: s = ½ → the magnitude of the spin angular momentum is 0.8666 ħ. The spins may lie in 2s+1= 2 different orientations (see figure). The orientation for m s = +½, called  and noted  ; the orientation for m s = -½ is called  and noted .  Photons: s = 1 → the angular momentum is 2 1/2 ħ

32.  The properties of fermions are described in the statistic of Fermi-Dirac.  The properties of bosons are described in the statistic of Bose-Einstein.