Probability in Different Bases
To predict a projective measurement, express the state in the eigenspaces selected by that measurement and then apply the Born rule. If a normalized state is expanded in a nondegenerate measurement basis as
then
The same abstract state has different component lists in different bases. Those lists are coordinate descriptions, while choosing a different measurement basis is a different physical question. Keeping that distinction clear prevents most basis-probability mistakes.
This page owns the probability workflow and its standard spin, qubit, and energy-basis applications. The abstract transformation algebra is canonical at Change of Basis, and measurement conditioning after an outcome belongs at Measurement in a Chosen Basis.
Required background. Probability Amplitudes supplies basis coefficients as amplitudes; Born Rule for Discrete Spectra supplies discrete measurement probabilities.
Helpful background. Change of Basis supplies the unitary overlap matrix between coordinate systems.
The measurement determines the relevant components
Section titled “The measurement determines the relevant components”Let be a nondegenerate observable with eigenvectors :
Its spectral projectors are
The Born probability is
The coefficient to square is therefore the overlap with the measurement eigenvector, not necessarily a coefficient in the basis in which the state happened to be supplied.
Overlap matrix between two bases
Section titled “Overlap matrix between two bases”Suppose the state is known in an orthonormal source basis :
Let be the measurement basis and define the overlap matrix
The measurement-basis amplitudes are
In column-vector notation,
The probabilities are computed only after this amplitude transformation:
Why the overlap matrix is unitary
Section titled “Why the overlap matrix is unitary”Completeness of the source basis gives
Similarly, . Thus
Unitarity preserves normalization:
Failure of the transformed probabilities to sum to one is therefore a sign of an inconsistent basis convention, a nonunitary overlap matrix, truncation, or an unnormalized state.
Probability workflow
Section titled “Probability workflow”The practical sequence is short:
- Identify the measurement projectors or eigenbasis.
- Compute overlaps between that basis and the basis in which the state is known.
- Transform amplitudes, including their complex phases.
- Take squared moduli or apply the relevant subspace projector.
- Check positivity and normalization.
Amplitudes, not probabilities, transform linearly. The unitary overlap matrix produces measurement-basis amplitudes ; the Born rule is applied only at the final step.
For a degenerate measurement, replace the basis-vector step by the projector onto the complete eigenspace.
Passive coordinates versus a new measurement
Section titled “Passive coordinates versus a new measurement”A passive basis change rewrites the same state and the same physical projector in new coordinates. If
and the projector matrices obey
then
The prediction is unchanged because only the coordinates changed.
Choosing a different measurement basis holds the prepared state fixed and changes the projectors being tested. Measuring and measuring are different physical procedures and can produce different probability distributions.
Active unitary transformations
Section titled “Active unitary transformations”Applying a unitary to the state while keeping the measurement fixed is an active operation:
The probability becomes
This can be calculated by transforming the state forward or the projector backward, but it is not a passive rewrite. The physical preparation or measurement apparatus has changed.
Why old probabilities are not enough
Section titled “Why old probabilities are not enough”For a coherent pure state,
Squaring gives
The second line contains interference terms and depends on relative phases. Therefore one generally cannot transform old-basis probabilities into new-basis probabilities without retaining the amplitudes or the full density operator.
When a stochastic probability map is valid
Section titled “When a stochastic probability map is valid”If the state is incoherent and diagonal in the source basis,
then the measurement probabilities are
For finite discrete orthonormal bases, the matrix
is doubly stochastic. The same statement extends to countable discrete bases when the sums converge. In this special case it maps the classical population vector to . For a coherent state with off-diagonal matrix elements in the source basis, this population-only rule omits physical interference.
Density operators in the measurement basis
Section titled “Density operators in the measurement basis”Let be the density matrix in the source basis. In the measurement basis,
For a rank-one basis measurement,
Off-diagonal coherences in can contribute to diagonal populations in . This is the mixed-state version of relative-phase interference.
The matrix entries are basis dependent, while the scalar Born probability
is representation independent when both and describe the same physical objects.
Degenerate measurements
Section titled “Degenerate measurements”If outcome has eigenspace projector with rank greater than one, the probability is
For any orthonormal basis of that eigenspace,
Changing basis inside the degenerate eigenspace cannot change the coarse outcome probability. Treating each arbitrarily chosen basis vector as a separate physical outcome would add a refinement not specified by the original observable.
Generalized measurements need not select a basis
Section titled “Generalized measurements need not select a basis”Not every measurement is an orthonormal-basis measurement. A POVM assigns effects satisfying
with probabilities
The “express the state in the measurement basis” shortcut applies to rank-one projective measurements. The effect form is the reliable general rule.
Spin prepared along z and measured along x
Section titled “Spin prepared along z and measured along x”For spin one-half,
Inverting gives
Thus an measurement on gives
The state is sharp in the basis and unbiased in the basis. This is a change of physical measurement, not a claim that the state has become mixed.
Spin along an arbitrary axis
Section titled “Spin along an arbitrary axis”Let the unit vector have polar angles . A convenient eigenbasis of is
For a system prepared in ,
Only the angle between preparation and measurement axes matters for these probabilities.
Computational and Hadamard bases
Section titled “Computational and Hadamard bases”Let
In the computational basis,
The Hadamard basis is
The amplitudes are
Therefore
The distributions differ because the two measurements ask different questions of the same state.
Relative phase becomes probability
Section titled “Relative phase becomes probability”For
the Hadamard amplitudes are
Hence
The computational-basis probabilities know only and . The Hadamard measurement converts one quadrature of the relative coherence into an observable population difference. This is why Superposition and Relative Phase has operational content.
Mutually unbiased bases
Section titled “Mutually unbiased bases”Two orthonormal bases are mutually unbiased if
for every in dimension . Preparing any source-basis vector then gives the uniform distribution
in the other basis. The computational and Hadamard bases are mutually unbiased for a qubit. Mutually unbiased does not mean that every superposition gives a uniform distribution; interference among several source amplitudes can still produce structure.
Energy-basis measurements
Section titled “Energy-basis measurements”Let a Hamiltonian have nondegenerate eigenstates . If
then
For the oscillator superposition
an energy measurement gives
The phase is invisible in this basis because the energy projectors are diagonal. It can affect a measurement in another basis.
From a wavefunction to energy amplitudes
Section titled “From a wavefunction to energy amplitudes”If the state is supplied as and the normalized energy eigenfunctions are
then
The overlap integral is the change from position amplitudes to energy amplitudes. After computing all relevant , the energy probabilities are . Degenerate and continuous sectors require spectral projectors and the appropriate measures.
Continuous measurement bases
Section titled “Continuous measurement bases”In a generalized continuous basis , the transformed amplitude is an integral transform:
With delta-normalization relative to , the probability density is
and interval probabilities are integrals of this density. The kernel, normalization factors, and integration measure are part of the basis convention. For position–momentum Fourier conventions, see Operator Representations and Born Rule for Continuous Spectra.
What multiple bases reveal
Section titled “What multiple bases reveal”A single basis measurement determines only the diagonal populations in that basis. Measurements in additional bases can reveal coherence that was hidden in those populations. This is the elementary reason state tomography requires more than one measurement setting.
It does not follow that the state possessed simultaneous definite values in all those bases. Each basis specifies a different measurement context, and probabilities must be computed for that context.
Practical checks
Section titled “Practical checks”Before trusting a basis-probability calculation, check:
- The source and measurement bases are orthonormal and use consistent phases.
- The overlap matrix convention matches .
- to the intended numerical precision.
- Amplitudes, including phases, were transformed before taking moduli.
- Degenerate outcomes were represented by full eigenspace projectors.
- The final probabilities are real, nonnegative, and sum to one.
- State vectors, operators, and projectors were not mixed across coordinate conventions.
Superposition language
Section titled “Superposition language”Whether a state is “a superposition” is basis dependent. Every normalized vector is a basis vector in some orthonormal basis and a multi-term superposition in many others.
The invariant statement is operational:
A state and a specified measurement determine a Born probability distribution.
Basis labels describe how the calculation is organized. The projectors or effects identify the physical measurement.
Common mistakes
Section titled “Common mistakes”Squaring coefficients in the wrong basis
Section titled “Squaring coefficients in the wrong basis”Coefficients in the preparation basis are not automatically probabilities for a different measurement. Project onto the measurement eigenspaces first.
Transforming probabilities instead of amplitudes
Section titled “Transforming probabilities instead of amplitudes”Relative phases create interference terms. A stochastic map built from applies to source-basis populations only when the state is incoherent in that basis.
Confusing passive and active changes
Section titled “Confusing passive and active changes”Changing coordinates for both state and projector leaves predictions unchanged. Rotating the state or changing the measurement projectors is a physical operation.
Losing complex conjugation
Section titled “Losing complex conjugation”is not generally equal to ; the two are complex conjugates.
Refining a degenerate outcome accidentally
Section titled “Refining a degenerate outcome accidentally”A basis chosen inside a degenerate eigenspace is not unique. Sum over that subspace unless an additional commuting measurement resolves it.
Ignoring continuous-basis measures
Section titled “Ignoring continuous-basis measures”Generalized basis amplitudes are densities relative to a convention. Include the correct integration measure and normalization factors.
Summary
Section titled “Summary”If contains state amplitudes in a source basis and
then measurement-basis amplitudes are
and rank-one projective probabilities are
The overlap matrix is unitary, so normalization is preserved. Passive coordinate changes leave Born scalars invariant; choosing a new measurement basis changes the physical projectors. Relative phase can become population in the new basis, which is why amplitudes or the full density operator must be transformed before probabilities are extracted.
References
Section titled “References”- P. A. M. Dirac, The Principles of Quantum Mechanics, 4th ed., Oxford University Press, 1958, Chapters II–III.
- D. J. Griffiths and D. F. Schroeter, Introduction to Quantum Mechanics, 3rd ed., Cambridge University Press, 2018, Chapters 3–4.
- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information, 10th anniversary ed., Cambridge University Press, 2010, Chapters 2 and 4.
- J. J. Sakurai and J. Napolitano, Modern Quantum Mechanics, 3rd ed., Cambridge University Press, 2020, Chapters 1–2.
- R. Shankar, Principles of Quantum Mechanics, 2nd ed., Springer, 1994, Chapters 1 and 4.
- J. von Neumann, Mathematical Foundations of Quantum Mechanics, Princeton University Press, 1955, Chapters II–III.
Exercises
Section titled “Exercises”1. Spin from z to x
Section titled “1. Spin from z to x”A spin-one-half system is prepared in . Compute the probabilities of and .
Solution
Use
Both measurement-basis amplitudes have modulus , so
2. Relative phase in the Hadamard basis
Section titled “2. Relative phase in the Hadamard basis”Let
Find the probabilities in the Hadamard basis.
Solution
The amplitudes are
Therefore
The computational-basis probabilities are always , but the Hadamard probabilities reveal the relative phase quadrature .
3. Oscillator energy measurement
Section titled “3. Oscillator energy measurement”For
find the energy probabilities and explain the role of .
Solution
The state is already in the nondegenerate energy basis, so
with every other energy probability zero. The phase is invisible to this diagonal measurement but can affect probabilities in a basis that mixes and .
4. A phase-dependent two-level transformation
Section titled “4. A phase-dependent two-level transformation”Let
Compute the two measurement probabilities.
Solution
The transformed amplitudes are
Taking squared moduli gives
The probabilities sum to one and remain nonnegative for every .
5. Passive invariance
Section titled “5. Passive invariance”Suppose and with unitary . Prove that the Born probability is unchanged.
Solution
Substitute both transformation laws:
because . State and projector coordinates changed together, so the physical scalar did not.
6. Coherence becomes a population difference
Section titled “6. Coherence becomes a population difference”In the computational basis, let
Find the Hadamard-basis probabilities. Which part of do they reveal?
Solution
Using ,
The computational populations are both , while the Hadamard population difference is . A different phase-sensitive basis is needed to reveal .
7. Mutually unbiased bases
Section titled “7. Mutually unbiased bases”Suppose for every . Show that a state prepared as any one gives a uniform -basis distribution.
Solution
For the preparation , the -basis amplitude is
Therefore
for every . Summing over the outcomes gives one.
8. Degenerate energy outcome
Section titled “8. Degenerate energy outcome”An energy has orthonormal degenerate eigenvectors and . A normalized state has amplitudes and in those directions, plus components orthogonal to the eigenspace. Find the probability of measuring energy and show that it is unchanged by a unitary basis change within the eigenspace.
Solution
The energy projector is
Hence
A unitary transformation within the two-dimensional eigenspace preserves the norm of the coefficient vector , so the sum and the coarse energy probability are unchanged.