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Textbook Claude Cohen-Tannoudji (born 1933) Bernard Diu (born 1935) Franck Laloë (born 1940) Chapter 1 Introduction 1 Quantum physics • Problems at the end of XIX century that classical physics couldn’t explain: • Blackbody radiation – electromagnetic radiation emitted by a heated object • Photoelectric effect – emission of electrons by an illuminated metal • Spectral lines – emission of sharp spectral lines by gas atoms in an electric discharge tube 1 Quantum physics • Phenomena occurring on atomic and subatomic scales cannot be explained outside the framework of quantum physics • There are many phenomena revealing quantum behavior on a macroscopic scale, e.g. enables one to understand the very existence of a solid body and parameters associated with it (density, elasticity, etc.) • However, as of today, there is no satisfactory theory unifying quantum physics and relativistic mechanics • In this course we will discuss non-relativistic quantum mechanics 1.A.1 Kindergarten stuff • Is light a wave or a flux of particles? • Newton vs. Young Isaac Newton (1642 – 1727) Thomas Young (1773 – 1829) 1.A.1 Kindergarten stuff • Is light a wave or a flux of particles? 1.A.1 Kindergarten stuff • Is light a wave or a flux of particles? 1.A.1 Kindergarten stuff • Is light a wave or a flux of particles? 1.A.1 Kindergarten stuff • Is light a wave or a flux of particles? • However: • 1) Blackbody radiation • 2) Photoelectric effect • 3) Spectral lines • 4) Etc. 1.A.1 Wave-particle duality • EM waves appear to consist of particles – photons • Particle and wave parameters are linked by fundamental relationships: E hv p k • h – Planck’s constant, 6.626 × 10-34 J∙s Max Karl Ernst Ludwig Planck 1858 – 1947 Albert Einstein 1879 – 1955 1.A.2 Wave-particle duality 1.A.2 Wave-particle duality 1.A.2 Wave-particle duality 1.A.2 Wave-particle duality 1.A.2 Wave-particle duality 1.A.2 Wave-particle duality 1.A.2 Wave-particle duality 1.A.2 Wave-particle duality • The results of this experiment lead to a paradox: • Since the interference pattern disappears when one of the slits is covered, why then this phenomena changes so drastically? • Crucial: the process of measurement • When one performs a measurement on a microscopic system, one disturbs it in a fundamental fashion • It is impossible to observe the interference pattern and to know at the same time through which slit each photon has passed 1.A.2 Wave-particle duality • Light behaves simultaneously as a wave and a flux of particles • The wave enables calculation of particle-related probabilities; e. g., when the photon is emitted, the probability of its striking the screen is proportional to light intensity, which in turn is proportional to the square of the field amplitude P( x) I ( x) E ( x) E( x) E1 ( x) E2 ( x) I ( x) I1 ( x) I 2 ( x) 2 1.A.2 Wave-particle duality • Predictions of the behavior of a photon can be only probabilistic: information about the photon at time t is given by the electric field, which is a solution of the Maxwell’s equations – the field is interpreted as a probability amplitude of a photon appearing at time t at a certain location: 2 P(r , t ) E (r , t ) James Clerk Maxwell 1831-1879 1.A.3 Principle of spectral decomposition • Malus’ Law: the intensity of the polarized beam transmitted through the second polarizing sheet (the analyzer) varies as I = Io cos2 θ, where Io is the intensity of the polarized wave incident on the analyzer Étienne-Louis Malus 1775 – 1812 1.A.3 Principle of spectral decomposition • What will happen, when intensity is low enough for the photons to reach the analyzer one by one? • NB: the detector does not register “a fraction of a photon”) • We cannot predict which photon can pass the analyzer E (r , t ) E0e p exp[ i(kz t )] E ' (r , t ) E0 ' ey exp[ i(kz t )] 1.A.3 Principle of spectral decomposition • The analyzer and detector can give only certain specific results – eigen (proper) results: either a photon passes the analyzer or not • To each of the eigen results there is an eigenstate e p ex e p ey • When the state before measurement is arbitrary, only the probabilities of obtaining the different eigen results can be predicted • To find these probabilities, the state has to be decomposed into a linear combination of eigenstates e p ex sin e y cos 1.A.3 Principle of spectral decomposition • The probability of an eigen result is proportional to the square of the absolute value of the coefficient of the corresponding eigenstate • The sum of all the probabilities should be equal to 1 sin 2 cos 2 1 • Measurement disturbs the photons in a fundamental fashion e p ex sin e y cos 1.B.1 Wave properties of particles • In 1924, Louis de Broglie postulated that because photons have wave and particle characteristics, perhaps all forms of matter have both properties • Furthermore, the frequency and wavelength of matter waves can be determined • The de Broglie wavelength of a particle is h h dB p mv • The frequency of matter waves is E f h Louis de Broglie 1892 – 1987 1.B.1 Wave properties of particles • The de Broglie equations show the dual nature of matter • Each contains matter concepts (energy and momentum) and wave concepts (wavelength and frequency) • The de Broglie wavelength of a particle is h h dB p mv • The frequency of matter waves is E f h Louis de Broglie 1892 – 1987 1.B.1 Wave properties of particles • Davisson and Germer scattered low-energy electrons from a nickel target and followed this with extensive diffraction measurements from various materials • The wavelength of the electrons calculated from the diffraction data agreed with the expected de Broglie wavelength Clinton Joseph Davisson (1881 – 1958) and Lester Halbert Germer (1896 – 1971) 1.B.2 The wave function • In quantum mechanics the object is described by a state (not trajectory) • The state is characterized by a wave function, ψ, which depends on the particle’s position and the time • The wave function is interpreted as a probability amplitude of quantum object’s presence (recall electric field as a probability amplitude of photon’s presence) • The probability density (probability of finding the object at time t inside an elementary volume dxdydz; 2 3 C – normalization constant): dP(r , t ) C (r , t ) d r 1.B.2 The wave function • The principle of spectral decomposition applies: • The outcome of a measurement at t0 must belong to a set of eigen results {a} • An eigenstate (eigenfunction) ψa(r) is associated with each eigenvalue a, if the measurement yields a: (r , t0 ) a (r ) • The probability of measuring an eigenvalue a at t0 can be found by performing spectral decomposition: (r , t0 ) ci i (r ) i Pa ca 2 c i i 2 1.B.2 The wave function • Important relationships: dP(r , t ) 1 2 3 dP(r , t ) C (r , t ) d r 2 3 1 (r , t ) d r C 1.B.2 Schrödinger equation • In 1926 Schrödinger proposed an equation for the wave function describing the manner in which matter waves change in space and time • Schrödinger equation is a key element in quantum mechanics 2 2 2 2 (r , t ) (r , t ) (r , t ) (r , t ) i V (r , t ) (r , t ) 2 2 2 t 2m x y z • V – potential energy (“potential”) • Superposition principle applies Erwin Rudolf Josef Alexander Schrödinger 1892 – 1987 1.C.1 Schrödinger equation • For a free particle: 2 2 2 2 (r , t ) (r , t ) (r , t ) (r , t ) 2 i (r , t ) 2 2 2 t 2m x y z 2m 2 2 (r , t ) A • Solution: (r , t ) A exp[ i(k r t )] 2 2 p h h E k E f 2m p mv h 2m • Using the superposition principle: 1 3 (r , t ) g ( k ) exp[ i ( k r t )] d k 3/ 2 2 • For 1D ( x, t ) 1 g (k ) exp[ i (kx t )]dk 2 1/ 2 1.C.1 Wave packet 1 2 • Wave packet: ( x, t ) • At t = 0: ( x,0) 1 2 i ( kx t ) g ( k ) e dk ikx g ( k ) e dk 1 • Using Fourier transformation: g (k ) 2 • If: g (k ) (k k0 ) ( x, t ) Aei ( kx t ) ikx ( x , 0 ) e dx 1.C.2 Wave packet • Wave packet: Re ( x) k k i k x i k g (k0 ) ik0 x 1 0 2 1 0 2 x ( x,0) e e e 2 2 2 g (k0 ) ik0 x k e 1 cos x 2 2 k xd 0 • Interference is destructive when 1 cos 2 k k kx 4 xd x 2 xd cos xd 1 2 2 1.C.2 Wave packet • More waves in a packet: 1.C.2 Wave packet • More waves in a packet: kx 1 1.C.3 Wave packet • More waves in a packet: ( x, t ) 1 2 p k i ( kx t ) g ( k ) e dk ipx 1 ( x,0) ( p ) e dp 2 • From Fourier calculus: ( x,0) 2 dx ( p) dp C 2 • Probability of finding a particle between x and x+dx : 1 2 dP( x) ( x,0) dx C • Probability of measuring a momentum between p and p+dp: 1 2 dP ( p) C ( p) dp 1.C.3 Heisenberg uncertainty principle kx 1 p k px • In 1927 Heisenberg introduced the uncertainty principle: If a measurement of position of a particle is made with precision Δx and a simultaneous measurement of linear momentum is made with precision Δpx, then the product of the two uncertainties can never be smaller than h/2 Werner Karl Heisenberg 1901 – 1976 1.C.4 Evolution of a free packet i ( kx t ) ( x , t ) Ae • For a single wave: 2 k • Phase velocity: v ( k ) k 2m k v (k ) 2m • Three-wave packet: k k i k x t i k x 0 0 0 0 g (k0 ) i k0 x 0t 1 2 2 1 2 2 t e ( x, t ) e e 2 2 2 g (k0 ) i k0 x 0t k e 1 cos 2 x 2 t 2 • Maximum occurs when: k cos xM t 1 2 2 k xM t 0 2 2 xM t k 1.C.4 Evolution of a free packet • For multiple waves in a packet : ( x, t ) • Group velocity: k 2 2m 1 2 i ( kx t ) g ( k ) e dk d vG (k0 ) dk k k0 k 2v (k0 ) vG (k0 ) m 1.D.1 Particle in a time-independent scalar potential • Schrödinger equation: (r , t ) 2 i (r , t ) V (r ) (r , t ) t 2m • Separating variables: (r , t ) (r ) (t ) d (t ) 2 i (r ) (t ) (r ) V (r ) (r ) (t ) dt 2m i d (t ) 2 (r ) V (r ) (t ) dt 2m (r ) 1.D.1 Particle in a time-independent scalar potential 2 i d (t ) (r ) V (r ) (t ) dt 2m (r ) d (t ) i (t ) dt (t ) e it 2 (r ) V (r ) (r ) (r ) 2m it (r , t ) (r ) (t ) (r )e • This is called a stationary solution for a stationary eigenstate E 2 2 (r , t ) (r ) 1.D.1 Particle in a time-independent scalar potential 2 (r ) V (r ) (r ) E (r ) 2m • Introducing linear differential operator 2 H V (r ) 2m H (r ) E (r ) • This is an eigenvalue equation for H Hn (r ) Enn (r ) iEnt / n ( r , t ) n ( r )e • Linear superposition of solutions is a solution iEnt / (r , t ) cnn (r )e n (r ,0) cn n (r ) n 1.D.2 1D square potentials 2 d 2 V ( x) E ( x) 2 2m dx d 2 2m 2 2 E V ( x) 0 dx