.
Quantum superposition
Quantum superposition is a fundamental principle of quantum mechanics. It holds that a physical system -- such as an electron -- exists partly in all its particular, theoretically possible states (or, configuration of its properties) simultaneously; but, when measured, it gives a result corresponding to only one of the possible configurations (as described in interpretation of quantum mechanics).
Mathematically, it refers to a property of solutions to the Schrödinger equation; since the Schrödinger equation is linear, any linear combination of solutions to a particular equation will also be a solution of it. Such solutions are often made to be orthogonal (i.e. the vectors are at right-angles to each other), such as the energy levels of an electron. By doing so the overlap energy of the states is nullified, and the expectation value of an operator (any superposition state) is the expectation value of the operator in the individual states, multiplied by the fraction of the superposition state that is "in" that state[citation needed].
An example of a directly observable effect of superposition is interference peaks from an electron wave in a double-slit experiment. Another example is a pure quantum logical qubit state, as used in quantum information processing, which is a linear superposition of the "basis states" \( |0 \rangle \) and \( |1 \rangle \) .
Concept
The principle of quantum superposition states that if a physical system may be in some configuration—an arrangement of particles or fields—and if the system could also be in another configuration, then it is in a state which is a superposition of the two, where the amount of each configuration that is in the superposition is specified by a complex number.
The principle was described by Paul Dirac as follows:
The general principle of superposition of quantum mechanics applies to the states [that are theoretically possible without mutual interference or contradiction] ... of any one dynamical system. It requires us to assume that between these states there exist peculiar relationships such that whenever the system is definitely in one state we can consider it as being partly in each of two or more other states. The original state must be regarded as the result of a kind of superposition of the two or more new states, in a way that cannot be conceived on classical ideas. Any state may be considered as the result of a superposition of two or more other states, and indeed in an infinite number of ways. Conversely any two or more states may be superposed to give a new state...
The non-classical nature of the superposition process is brought out clearly if we consider the superposition of two states, A and B, such that there exists an observation which, when made on the system in state A, is certain to lead to one particular result, a say, and when made on the system in state B is certain to lead to some different result, b say. What will be the result of the observation when made on the system in the superposed state? The answer is that the result will be sometimes a and sometimes b, according to a probability law depending on the relative weights of A and B in the superposition process. It will never be different from both a and b [i.e, either a or b]. The intermediate character of the state formed by superposition thus expresses itself through the probability of a particular result for an observation being intermediate between the corresponding probabilities for the original states, not through the result itself being intermediate between the corresponding results for the original states.[1]
Anton Zeilinger, referring to the prototypical example of the double-slit experiment, has elaborated regarding the creation and destruction of quantum superposition:
"[T]he superposition of amplitudes ... is only valid if there is no way to know, even in principle, which path the particle took. It is important to realize that this does not imply that an observer actually takes note of what happens. It is sufficient to destroy the interference pattern, if the path information is accessible in principle from the experiment or even if it is dispersed in the environment and beyond any technical possibility to be recovered, but in principle still ‘‘out there.’’ The absence of any such information is the essential criterion for quantum interference to appear.[2]
Theory
Examples
For an equation describing a physical phenomenon, the superposition principle states that a combination of solutions to a linear equation is also a solution of it. When this is true the equation is said to obey the superposition principle. Thus if functions f1, f2 and f3 each solve the linear equation ψ, then ψ=c1f1+c2f2+c3f3 would also be a solution, in which each c is a coefficient. For example, the electrical field due to a distribution of charged particles can be described by the sum of the contributions of the individual particles.
Similarly, probability theory states that the probability of an event can be described by a combination of the probabilities of certain specific other events (see Mathematical treatment). For example, the probability of flipping two coins (coin A and coin B) and having at least one land head-up can be expressed as the sum of the probabilities for three specific events: coin A heads with B tails, coin A heads with B heads, and coin A tails with B heads. In this case the probability could be expressed as:
P(heads>=1)=P(A not B)+P(A and B)+P(B not A)
or even:
P(heads>=1)=1-P(not A not B)
Probability theory, as with quantum theory, would also require that the sum of the probabilities for all possible events, not just those satisfying the condition, be equal to unity (i.e. to one hundred percent). Thus:
P(A not B)+P(A and B)+P(B not A)+P(not A not B)=1
Probability theory also states that the probability distribution along a continuum (i.e. the chance of an object being in a particular position along a continuous set of coordinates) or among discrete events (the example above) can be described using a probability density or unit vector, respectively, with the probability magnitude being a square of the density function.
In quantum mechanics an additional layer of analysis is introduced, since the probability density function is now more specifically a wave function \( \psi \) . The wave function is either a complex function of a finite set of real variables or a complex vector formed of a finite or infinite number of components. As the coefficients in the linear combination that describes our probability density are now complex, the probability must now come from the absolute value of the multiplication of the wave function by its complex conjugate \( \psi \psi^* = \mid \psi \mid ^2 \) . In cases where the functions are not complex, the probability of an event occurring which is dependent upon any one of all possible events in a subset occurring is the simple sum of the event probabilities in that subset. For example, if an observer rings a bell whenever one or more coins land heads up in the example above, then the probability of the observer ringing a bell is the same as the sum of the probabilities of each event in which at least one coin lands heads up. This is a simple sum because the square of the probability function is always positive. Using the wave equation, the outcome of multiplication of the function by its complex conjugate (i.e. the result of squaring it) is not always positive, hence may produce counter-intuitive results.
For example, if a photon in a plus spin state has a 0.1 amplitude to be absorbed and take an atom to the second energy level, and if the photon in a minus spin state has a −0.1 amplitude to do the same, a photon which has an equal amplitude to be plus or minus would have zero amplitude to take the atom to the second excited state and the atom will not be excited. If the photon's spin is measured before it reaches the atom, whatever the answer - plus or minus - it will have a non zero amplitude to excite the atom, plus or minus 0.1.
Assuming normalization (i.e. that all probabilities in the set do total 100%), the probability density in quantum mechanics is equal to the square of the absolute value of the amplitude of the waveform. The further the amplitude is from zero, the bigger the probability. Where probability distribution is represented as a continuous function, the probability is the integral of the density function over the relevant values. Where the wave equation is represented as a complex vector, the probability will be extracted from the absolute value of an inner-product of the coefficient matrix and its complex conjugate. In the atom example above, the probability that the atom will be excited is zero. But the only occasion on which probability enters the picture is if an observer looks to see which way the atom goes; then the different amplitudes become probabilities for seeing different things. So if you check to see whether the atom has been excited to the second energy level immediately after the photon with zero amplitude reaches it, there is no chance of seeing the atom excited.
Another example: If a particle can be in position A and position B, it can also be in a state where it is an amount "3i/5" in position A and an amount "4/5" in position B. To write this, physicists usually say:
\( |\psi\rangle = {3\over 5} i |A\rangle + {4\over 5} |B\rangle. \)
In the description, only the relative size of the different components matter, and their angle to each other on the complex plane. This is usually stated by declaring that two states which are a multiple of one another are the same as far as the description of the situation is concerned.
\( |\psi \rangle \approx \alpha |\psi \rangle \)
The fundamental law of quantum mechanics is that the evolution is linear, meaning that if state A turns into A' and B turns into B' after 10 seconds, then after 10 seconds the superposition \( \psi \) turns into a mixture of A' and B' with the same coefficients as A and B. A particle can have any position, so that there are different states which have any value of the position x. These are written:
\( |x\rangle \)
The principle of superposition guarantees that there are states which are arbitrary superpositions of all the positions with complex coefficients:
\( \sum_x \psi(x) |x\rangle \)
This sum is defined only if the index \( \mathit{x} \) is discrete. If the index is over \reals, then the sum is not defined and is replaced by an integral instead. The quantity \( \psi(x) \) is called the wavefunction of the particle.
If a particle can have some discrete orientations of the spin, say the spin can be aligned with the z axis \( |+\rangle \) or against it \( |-\rangle \), then the particle can have any state of the form:
\( C_1 |+\rangle + C_2 |-\rangle \)
If the particle has both position and spin, the state is a superposition of all possibilities for both:
\( \sum_x \psi_+(x)|x,+\rangle + \psi_-(x)|x,-\rangle \, \)
The configuration space of a quantum mechanical system cannot be worked out without some physical knowledge. The input is usually the allowed different classical configurations, but without the duplication of including both position and momentum.
A pair of particles can be in any combination of pairs of positions. A state where one particle is at position x and the other is at position y is written \( |x,y\rangle \). The most general state is a superposition of the possibilities:
\( \sum_{xy} A(x,y) |x,y\rangle \, \)
The description of the two particles is much larger than the description of one particle — it is a function in twice the number of dimensions. This is also true in probability, when the statistics of two random things are correlated. If two particles are uncorrelated, the probability distribution for their joint position P(x,y) is a product of the probability of finding one at one position and the other at the other position:
\( P(x,y) = P_x (x) P_y(y) \, \)
In quantum mechanics, two particles can be in special states where the amplitudes of their position are uncorrelated. For quantum amplitudes, the word entanglement replaces the word correlation, but the analogy is exact. A disentangled wavefunction has the form:
\( A(x,y) = \psi_x(x)\psi_y(y) \, \)
while an entangled wavefunction does not have this form. Like correlation in probability, there are many more entangled states than disentangled ones. For instance, when two particles which start out with an equal probability to be anywhere in a box have a strong attraction and a way to dissipate energy, they can easily come together to make a bound state. The bound state still has an equal probability to be anywhere, so that each particle is still equally likely to be anywhere, but the two particles are now entangled: so wherever one particle is, the other is too.
Analogy with probability
In probability theory there is a similar principle. If a system has a probabilistic description, this description gives the probability of any configuration, and given any two different configurations, there is a state which is partly this and partly that, with positive real number coefficients, the probabilities, which say how much of each there is.
For example, if we have a probability distribution for where a particle is, it is described by the "state"
\( \sum_x \rho(x) |x\rangle \)
Where \rho is the probability density function, a positive number that measures the probability that the particle will be found at a certain location.
The evolution equation is also linear in probability, for fundamental reasons. If the particle has some probability for going from position x to y, and from z to y, the probability of going to y starting from a state which is half-x and half-z is a half-and-half mixture of the probability of going to y from each of the options. This is the principle of linear superposition in probability.
Quantum mechanics is different, because the numbers can be positive or negative. While the complex nature of the numbers is just a doubling, if you consider the real and imaginary parts separately, the sign of the coefficients is important. In probability, two different possible outcomes always add together, so that if there are more options to get to a point z, the probability always goes up. In quantum mechanics, different possibilities can cancel.
In probability theory with a finite number of states, the probabilities can always be multiplied by a positive number to make their sum equal to one. For example, if there is a three state probability system:
\( x |1\rangle + y |2\rangle + z |3\rangle \, \)
where the probabilities x,y,z are positive numbers. Rescaling x,y,z so that
\( x+y+z=1 \, \)
The geometry of the state space is a revealed to be a triangle. In general it is a simplex. There are special points in a triangle or simplex corresponding to the corners, and these points are those where one of the probabilities is equal to 1 and the others are zero. These are the unique locations where the position is known with certainty.
In a quantum mechanical system with three states, the quantum mechanical wavefunction is a superposition of states again, but this time twice as many quantities with no restriction on the sign:
\( A|1\rangle + B|2\rangle + C|3\rangle = (A_r + iA_i) |1\rangle + (B_r + i B_i) |2\rangle + (C_r + iC_i) |3\rangle \, \)
rescaling the variables so that the sum of the squares is 1, the geometry of the space is revealed to be a high dimensional sphere
\( A_r^2 + A_i^2 + B_r^2 + B_i^2 + C_r^2 + C_i^2 = 1 \,.\)
A sphere has a large amount of symmetry, it can be viewed in different coordinate systems or bases. So unlike a probability theory, a quantum theory has a large number of different bases in which it can be equally well described. The geometry of the phase space can be viewed as a hint that the quantity in quantum mechanics which corresponds to the probability is the absolute square of the coefficient of the superposition.
Hamiltonian evolution
The numbers that describe the amplitudes for different possibilities define the kinematics, the space of different states. The dynamics describes how these numbers change with time. For a particle that can be in any one of infinitely many discrete positions, a particle on a lattice, the superposition principle tells you how to make a state:
\( \sum_n \psi_n |n\rangle \, \)
So that the infinite list of amplitudes \( \scriptstyle (... \psi_{-2},\psi_{-1},\psi_0,\psi_1,\psi_2 ...) \) completely describes the quantum state of the particle. This list is called the state vector, and formally it is an element of a Hilbert space, an infinite dimensional complex vector space. It is usual to represent the state so that the sum of the absolute squares of the amplitudes add up to one:
\( \sum \psi_n^*\psi_n = 1 \)
For a particle described by probability theory random walking on a line, the analogous thing is the list of probabilities \( (...P_{-2},P_{-1},P_0,P_1,P_2,...) \), which give the probability of any position. The quantities that describe how they change in time are the transition probabilities \( \scriptstyle K_{x\rightarrow y}(t) \), which gives the probability that, starting at x, the particle ends up at y after time t. The total probability of ending up at y is given by the sum over all the possibilities
\( P_y(t_0+t) = \sum_x P_x(t_0) K_{x\rightarrow y}(t) \, \)
The condition of conservation of probability states that starting at any x, the total probability to end up somewhere must add up to 1:
\( \sum_y K_{x\rightarrow y} = 1 \, \)
So that the total probability will be preserved, K is what is called a stochastic matrix.
When no time passes, nothing changes: for zero elapsed time \( \scriptstyle K{x\rightarrow y}(0) = \delta_{xy} \) , the K matrix is zero except from a state to itself. So in the case that the time is short, it is better to talk about the rate of change of the probability instead of the absolute change in the probability.
P_y(t+dt) = P_y(t) + dt \sum_x P_x R_{x\rightarrow y} \, \)
where \scriptstyle R_{x\rightarrow y} is the time derivative of the K matrix:
R_{x\rightarrow y} = { K_{x\rightarrow y}(dt) - \delta_{xy} \over dt} \,. \)
The equation for the probabilities is a differential equation which is sometimes called the master equation:
\( {dP_y \over dt} = \sum_x P_x R_{x\rightarrow y} \, \)
The R matrix is the probability per unit time for the particle to make a transition from x to y. The condition that the K matrix elements add up to one becomes the condition that the R matrix elements add up to zero:
\( \sum_y R_{x\rightarrow y} = 0 \, \)
One simple case to study is when the R matrix has an equal probability to go one unit to the left or to the right, describing a particle which has a constant rate of random walking. In this case \scriptstyle R_{x\rightarrow y} is zero unless y is either x+1,x, or x−1, when y is x+1 or x−1, the R matrix has value c, and in order for the sum of the R matrix coefficients to equal zero, the value of \( R_{x\rightarrow x} \) must be −2c. So the probabilities obey the discretized diffusion equation:
\( {dP_x \over dt } = c(P_{x+1} - 2P_{x} + P_{x-1}) \, \)
which, when c is scaled appropriately and the P distribution is smooth enough to think of the system in a continuum limit becomes:
\( {\partial P(x,t) \over \partial t} = c {\partial^2 P \over \partial x^2 } \, \)
Which is the diffusion equation.
Quantum amplitudes give the rate at which amplitudes change in time, and they are mathematically exactly the same except that they are complex numbers. The analog of the finite time K matrix is called the U matrix:
\( \psi_n(t) = \sum_m U_{nm}(t) \psi_m \, \)
Since the sum of the absolute squares of the amplitudes must be constant, U must be unitary:
\( \sum_n U^*_{nm} U_{np} = \delta_{mp} \, \)
or, in matrix notation,
\( U^\dagger U = I \, \)
The rate of change of U is called the Hamiltonian H, up to a traditional factor of i:
\( H_{mn} = i{d \over dt} U_{mn} \)
The Hamiltonian gives the rate at which the particle has an amplitude to go from m to n. The reason it is multiplied by i is that the condition that U is unitary translates to the condition:
\( (I + i H^\dagger dt )(I - i H dt ) = I \, \)
\( H^\dagger - H = 0 \, \)
which says that H is Hermitian. The eigenvalues of the Hermitian matrix H are real quantities which have a physical interpretation as energy levels. If the factor i were absent, the H matrix would be antihermitian and would have purely imaginary eigenvalues, which is not the traditional way quantum mechanics represents observable quantities like the energy.
For a particle which has equal amplitude to move left and right, the Hermitian matrix H is zero except for nearest neighbors, where it has the value c. If the coefficient is everywhere constant, the condition that H is Hermitian demands that the amplitude to move to the left is the complex conjugate of the amplitude to move to the right. The equation of motion for \psi is the time differential equation:
\( i{d \psi_n \over dt} = c^* \psi_{n+1} + c \psi_{n-1} \)
In the case that left and right are symmetric, c is real. By redefining the phase of the wavefunction in time, \psi\rightarrow \psi e^{i2ct}, the amplitudes for being at different locations are only rescaled, so that the physical situation is unchanged. But this phase rotation introduces a linear term.
\( i{d \psi_n \over dt} = c \psi_{n+1} - 2c\psi_n + c\psi_{n-1} \)
which is the right choice of phase to take the continuum limit. When c is very large and psi is slowly varying so that the lattice can be thought of as a line, this becomes the free Schrödinger equation:
\( i{ \partial \psi \over \partial t } = - {\partial^2 \psi \over \partial x^2} \)
If there is an additional term in the H matrix which is an extra phase rotation which varies from point to point, the continuum limit is the Schrödinger equation with a potential energy:
\( i{ \partial \psi \over \partial t} = - {\partial^2 \psi \over \partial x^2} + V(x) \psi \)
These equations describe the motion of a single particle in non-relativistic quantum mechanics.
Quantum mechanics in imaginary time
The analogy between quantum mechanics and probability is very strong, so that there are many mathematical links between them. In a statistical system in discrete time, t=1,2,3, described by a transition matrix for one time step \scriptstyle K_{m\rightarrow n}, the probability to go between two points after a finite number of time steps can be represented as a sum over all paths of the probability of taking each path:
\( K_{x\rightarrow y}(T) = \sum_{x(t)} \prod_t K_{x(t)x(t+1)} \, \)
where the sum extends over all paths x(t) with the property that x(0)=0 and x(T)=y. The analogous expression in quantum mechanics is the path integral.
A generic transition matrix in probability has a stationary distribution, which is the eventual probability to be found at any point no matter what the starting point. If there is a nonzero probability for any two paths to reach the same point at the same time, this stationary distribution does not depend on the initial conditions. In probability theory, the probability m for the stochastic matrix obeys detailed balance when the stationary distribution \rho_n has the property:
\( \rho_n K_{n\rightarrow m} = \rho_m K_{m\rightarrow n} \, \)
Detailed balance says that the total probability of going from m to n in the stationary distribution, which is the probability of starting at m \rho_m times the probability of hopping from m to n, is equal to the probability of going from n to m, so that the total back-and-forth flow of probability in equilibrium is zero along any hop. The condition is automatically satisfied when n=m, so it has the same form when written as a condition for the transition-probability R matrix.
\( \rho_n R_{n\rightarrow m} = \rho_m R_{m\rightarrow n} \, \)
When the R matrix obeys detailed balance, the scale of the probabilities can be redefined using the stationary distribution so that they no longer sum to 1:
\( p'_n = \sqrt{\rho_n}\;p_n \, \)
In the new coordinates, the R matrix is rescaled as follows:
\( \sqrt{\rho_n} R_{n\rightarrow m} {1\over \sqrt{\rho_m}} = H_{nm} \, \)
and H is symmetric
\( H_{nm} = H_{mn} \, \)
This matrix H defines a quantum mechanical system:
\( i{d \over dt} \psi_n = \sum H_{nm} \psi_m \, \)
whose Hamiltonian has the same eigenvalues as those of the R matrix of the statistical system. The eigenvectors are the same too, except expressed in the rescaled basis. The stationary distribution of the statistical system is the ground state of the Hamiltonian and it has energy exactly zero, while all the other energies are positive. If H is exponentiated to find the U matrix:
\( U(t) = e^{-iHt} \, \)
and t is allowed to take on complex values, the K' matrix is found by taking time imaginary.
\( K'(t) = e^{-Ht} \, \)
For quantum systems which are invariant under time reversal the Hamiltonian can be made real and symmetric, so that the action of time-reversal on the wave-function is just complex conjugation. If such a Hamiltonian has a unique lowest energy state with a positive real wave-function, as it often does for physical reasons, it is connected to a stochastic system in imaginary time. This relationship between stochastic systems and quantum systems sheds much light on supersymmetry.
Experiments and applications
Successful experiments involving superpositions of relatively large (by the standards of quantum physics) objects have been performed.[3]
A "cat state" has been achieved with photons.[4]
A beryllium ion has been trapped in a superposed state.[5]
A double slit experiment has been performed with molecules as large as buckyballs.[6]
An experiment involving a superconducting quantum interference device ("SQUID") has been linked to theme of the thought experiment: " The superposition state does not correspond to a billion electrons flowing one way and a billion others flowing the other way. Superconducting electrons move en masse. All the superconducting electrons in the SQUID flow both ways around the loop at once when they are in the Schrödinger’s cat state."[7]
A piezoelectric "tuning fork" has been constructed, which can be placed into a superposition of vibrating and non vibrating states. The resonator comprises about 10 trillion atoms.[8]
An experiment involving a flu virus has been proposed.[9]
In quantum computing the phrase "cat state" often refers to the special entanglement of qubits wherein the qubits are in an equal superposition of all being 0 and all being 1; i.e.,
\( | \psi \rangle = \frac{1}{\sqrt{2}} \bigg( | 00...0 \rangle + |11...1 \rangle \bigg) . \)
Formal interpretation
Applying the superposition principle to a quantum mechanical particle, the configurations of the particle are all positions, so the superpositions make a complex wave in space. The coefficients of the linear superposition are a wave which describes the particle as best as is possible, and whose amplitude interferes according to the Huygens principle.
For any physical property in quantum mechanics, there is a list of all the states where that property has some value. These states are necessarily perpendicular to each other using the Euclidean notion of perpendicularity which comes from sums-of-squares length, except that they also must not be i multiples of each other. This list of perpendicular states has an associated value which is the value of the physical property. The superposition principle guarantees that any state can be written as a combination of states of this form with complex coefficients.
Write each state with the value q of the physical quantity as a vector in some basis \psi^q_n, a list of numbers at each value of n for the vector which has value q for the physical quantity. Now form the outer product of the vectors by multiplying all the vector components and add them with coefficients to make the matrix
\( A_{nm} = \sum_q q \psi^{*q}_n \psi^q_m \)
where the sum extends over all possible values of q. This matrix is necessarily symmetric because it is formed from the orthogonal states, and has eigenvalues q. The matrix A is called the observable associated to the physical quantity. It has the property that the eigenvalues and eigenvectors determine the physical quantity and the states which have definite values for this quantity.
Every physical quantity has a Hermitian linear operator associated to it, and the states where the value of this physical quantity is definite are the eigenstates of this linear operator. The linear combination of two or more eigenstates results in quantum superposition of two or more values of the quantity. If the quantity is measured, the value of the physical quantity will be random, with a probability equal to the square of the coefficient of the superposition in the linear combination. Immediately after the measurement, the state will be given by the eigenvector corresponding to the measured eigenvalue.
It is natural to ask why "real" (macroscopic, Newtonian) objects and events do not seem to display quantum mechanical features such as superposition. In 1935, Erwin Schrödinger devised a well-known thought experiment, now known as Schrödinger's cat, which highlighted the dissonance between quantum mechanics and Newtonian physics, where only one configuration occurs, although a configuration for a particle in Newtonian physics specifies both position and momentum.
In fact, quantum superposition results in many directly observable effects, such as interference peaks from an electron wave in a double-slit experiment. The superpositions, however, persist at all scales, absent a mechanism for removing them. This mechanism can be philosophical as in the Copenhagen interpretation, or physical.
Recent research indicates that chlorophyll within plants appears to exploit the feature of quantum superposition to achieve greater efficiency in transporting energy, allowing pigment proteins to be spaced further apart than would otherwise be possible.[10][11]
If the operators corresponding to two observables do not commute, they have no simultaneous eigenstates and they obey an uncertainty principle. A state where one observable has a definite value corresponds to a superposition of many states for the other observable.
See also
Mach-Zehnder interferometer
Penrose Interpretation
Pure qubit state
Quantum computation
Schrödinger's cat
Wave packet
References
^ P.A.M. Dirac (1947). The Principles of Quantum Mechanics (2nd edition). Clarendon Press. p. 12.
^ Zeilinger A (1999). "Experiment and the foundations of quantum physics". Rev. Mod. Phys. 71: S288-S297.
^ What is the World's Biggest Schrodinger Cat?
^ Schr%C%B6dingers Cat Now Made of Light
^ C. Monroe, et. al. A “Schrodinger Cat” Superposition State of an Atom
^ Wave Particle Duality of C60
^ Physics World: Schrodinger's cat comes into view
^ Scientific American : Macro-Weirdness: "Quantum Microphone" Puts Naked-Eye Object in 2 Places at Once: A new device tests the limits of Schrödinger's cat
^ How to Create Quantum Superpositions of Living Things>
^ Scholes, Gregory; Elisabetta Collini, Cathy Y. Wong, Krystyna E. Wilk, Paul M. G. Curmi, Paul Brumer & Gregory D. Scholes (4 February 2010). "Coherently wired light-harvesting in photosynthetic marine algae at ambient temperature". Nature 463 (463): 644–647. Bibcode 2010Natur.463..644C. doi:10.1038/nature08811. PMID 20130647.
^ Moyer, Michael (September 2009). "Quantum Entanglement, Photosynthesis and Better Solar Cells". Scientific American. Retrieved 12 May 2010.
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