In quantum mechanics, a probability amplitude is a complex number used for describing the behaviour of systems. The square of the modulus of this quantity represents a probability density.
Probability amplitudes provide a relationship between the quantum state vector of a system and the results of observations of that system, a link was first proposed by Max Born, in 1926. Interpretation of values of a wave function as the probability amplitude is a pillar of the Copenhagen interpretation of quantum mechanics. In fact, the properties of the space of wave functions were being used to make physical predictions (such as emissions from atoms being at certain discrete energies) before any physical interpretation of a particular function was offered. Born was awarded half of the 1954 Nobel Prize in Physics for this understanding, and the probability thus calculated is sometimes called the "Born probability". These probabilistic concepts, namely the probability density and quantum measurements, were vigorously contested at the time by the original physicists working on the theory, such as Schrödinger and Einstein. It is the source of the mysterious consequences and philosophical difficulties in the interpretations of quantum mechanics—topics that continue to be debated even today.
Neglecting some technical complexities, the problem of quantum measurement is the behaviour of a quantum state, for which the value of the observable to be measured is uncertain. Such a state is thought to be a coherent superposition of the observable's eigenstates, states on which the value of the observable is uniquely defined, for different possible values of the observable.
When a measurement of is made, the system (under the Copenhagen interpretation) jumps to one of the eigenstates, returning the eigenvalue belonging to that eigenstate. The system may always be described by a linear combination or superposition of these eigenstates with unequal "weights". Intuitively it is clear that eigenstates with heavier "weights" are more "likely" to be produced. Indeed, which of the above eigenstates the system jumps to is given by a probabilistic law: the probability of the system jumping to the state is proportional to the absolute value of the corresponding numerical weight squared. These numerical weights are called probability amplitudes, and this relationship used to calculate probabilities from given pure quantum states (such as wave functions) is called the Born rule.
Clearly, the sum of the probabilities, which equals the sum of the absolute squares of the probability amplitudes, must equal 1. This is the normalization requirement.
If the system is known to be in some eigenstate of (e.g. after an observation of the corresponding eigenvalue of) the probability of observing that eigenvalue becomes equal to 1 (certain) for all subsequent measurements of (so long as no other important forces act between the measurements). In other words, the probability amplitudes are zero for all the other eigenstates, and remain zero for the future measurements. If the set of eigenstates to which the system can jump upon measurement of is the same as the set of eigenstates for measurement of, then subsequent measurements of either or always produce the same values with probability of 1, no matter the order in which they are applied. The probability amplitudes are unaffected by either measurement, and the observables are said to commute.
By contrast, if the eigenstates of and are different, then measurement of produces a jump to a state that is not an eigenstate of . Therefore, if the system is known to be in some eigenstate of (all probability amplitudes zero except for one eigenstate), then when is observed the probability amplitudes are changed. A second, subsequent observation of no longer certainly produces the eigenvalue corresponding to the starting state. In other words, the probability amplitudes for the second measurement of depend on whether it comes before or after a measurement of, and the two observables do not commute.
In a formal setup, the state of an isolated physical system in quantum mechanics is represented, at a fixed time
t
\{|x\rangle\}
\psi(x)=\langlex|\Psi\rangle
\psi
(X,lA,\mu)
\mu=\muac+\musc+\mupp
\psi
\psi
\|\psi\|2=\intX|\psi(x)|2dx<infty
|\psi(x)|2\inR\geq
\intX|\psi(x)|2dx\equiv\intXd\muac(x)=1
|\psi(x)|2
x
x
\hat{x}
\langlex|\hat{x}|\Psi\rangle=\hat{x}\langlex|\Psi\rangle=x0\psi(x), x\inR,
\psi(x)=\delta(x-x0)
Let
\mupp
A\subsetX
l{A}
A convenient configuration space is such that each point produces some unique value of the observable . For discrete it means that all elements of the standard basis are eigenvectors of . Then
\psi(x)
|\psi(x)|2
if and only if is the same quantum state as . if and only if and are orthogonal. Otherwise the modulus of is between 0 and 1.
A discrete probability amplitude may be considered as a fundamental frequency in the probability frequency domain (spherical harmonics) for the purposes of simplifying M-theory transformation calculations. Discrete dynamical variables are used in such problems as a particle in an idealized reflective box and quantum harmonic oscillator.
An example of the discrete case is a quantum system that can be in two possible states, e.g. the polarization of a photon. When the polarization is measured, it could be the horizontal state
|H\rangle
|V\rangle
|\psi\rangle
|\psi\rangle=\alpha|H\rangle+\beta|V\rangle
with
\alpha
\beta
|H\rangle
|V\rangle
|\alpha|2
|\beta|2
Hence, a photon in a state would have a probability of to come out horizontally polarized, and a probability of to come out vertically polarized when an ensemble of measurements are made. The order of such results, is, however, completely random.
Another example is quantum spin. If a spin-measuring apparatus is pointing along the z-axis and is therefore able to measure the z-component of the spin (), the following must be true for the measurement of spin "up" and "down":
\sigmaz|u\rangle=(+1)|u\rangle
\sigmaz|d\rangle=(-1)|d\rangle
\begin{align} \langler|u\rangle&=\left(
1 | |
\sqrt{2 |
P(|u\rangle)=\langler|u\rangle\langleu|r\rangle=\left(
1 | |
\sqrt{2 |
In the example above, the measurement must give either or, so the total probability of measuring or must be 1. This leads to a constraint that ; more generally the sum of the squared moduli of the probability amplitudes of all the possible states is equal to one. If to understand "all the possible states" as an orthonormal basis, that makes sense in the discrete case, then this condition is the same as the norm-1 condition explained above.
One can always divide any non-zero element of a Hilbert space by its norm and obtain a normalized state vector. Not every wave function belongs to the Hilbert space, though. Wave functions that fulfill this constraint are called normalizable.
The Schrödinger equation, describing states of quantum particles, has solutions that describe a system and determine precisely how the state changes with time. Suppose a wave function gives a description of the particle (position at a given time). A wave function is square integrable if
\int|\psi(x,t)|2dx=a2<infty.
\psi(x,t):= | \psi(x,t) |
a |
.
Px\in(t)=\intV|\psi(x,t)|2dx=\intV\rho(x)dx.
See main article: Double-slit experiment. Probability amplitudes have special significance because they act in quantum mechanics as the equivalent of conventional probabilities, with many analogous laws, as described above. For example, in the classic double-slit experiment, electrons are fired randomly at two slits, and the probability distribution of detecting electrons at all parts on a large screen placed behind the slits, is questioned. An intuitive answer is that, where is the probability of that event. This is obvious if one assumes that an electron passes through either slit. When no measurement apparatus that determines through which slit the electrons travel is installed, the observed probability distribution on the screen reflects the interference pattern that is common with light waves. If one assumes the above law to be true, then this pattern cannot be explained. The particles cannot be said to go through either slit and the simple explanation does not work. The correct explanation is, however, by the association of probability amplitudes to each event. The complex amplitudes which represent the electron passing each slit (and) follow the law of precisely the form expected: . This is the principle of quantum superposition. The probability, which is the modulus squared of the probability amplitude, then, follows the interference pattern under the requirement that amplitudes are complex:Here,
\varphi1
\varphi2
However, one may choose to devise an experiment in which the experimenter observes which slit each electron goes through. Then, due to wavefunction collapse, the interference pattern is not observed on the screen.
One may go further in devising an experiment in which the experimenter gets rid of this "which-path information" by a "quantum eraser". Then, according to the Copenhagen interpretation, the case A applies again and the interference pattern is restored.[3]
See main article: Probability current. Intuitively, since a normalised wave function stays normalised while evolving according to the wave equation, there will be a relationship between the change in the probability density of the particle's position and the change in the amplitude at these positions.
Define the probability current (or flux) as
j={\hbar\overm}{1\over{2i}}\left(\psi*\nabla\psi-\psi\nabla\psi*\right)={\hbar\overm}\operatorname{Im}\left(\psi*\nabla\psi\right),
Then the current satisfies the equation
\nabla ⋅ j+{\partial\over\partialt}|\psi|2=0.
\rho=|\psi|2
For two quantum systems with spaces and and given states and respectively, their combined state can be expressed as a function on, that gives theproduct of respective probability measures. In other words, amplitudes of a non-entangled composite state are products of original amplitudes, and respective observables on the systems 1 and 2 behave on these states as independent random variables. This strengthens the probabilistic interpretation explicated above .
The concept of amplitudes is also used in the context of scattering theory, notably in the form of S-matrices. Whereas moduli of vector components squared, for a given vector, give a fixed probability distribution, moduli of matrix elements squared are interpreted as transition probabilities just as in a random process. Like a finite-dimensional unit vector specifies a finite probability distribution, a finite-dimensional unitary matrix specifies transition probabilities between a finite number of states.
The "transitional" interpretation may be applied to s on non-discrete spaces as well.