Original solutions to the paper released at the source request. The complete editable transcription is retained in the private examination archive.
Use periodic plane waves on the ring. For ,
They are orthonormal on one circumference and complete by Fourier series. Thus , with degeneracy : the two signs of nonzero angular momentum have the same energy. Equivalently one may use normalized sine and cosine eigenfunctions for each positive .
For the position measurement put . Direct integration gives
The energy measurement requires projection onto whole degenerate eigenspaces, rather than just onto one traveling wave. The expansion coefficients are
For instance the imaginary integral vanishes by reflection about , and the product-to-sum identity evaluates the real integral as . Consequently
Every numerator is positive and no integer makes a denominator zero, so every energy has nonzero probability. Parseval's identity guarantees that these probabilities sum to one. The supplied state is a valid normalized periodic state; its derivative need not obey the operator-domain periodic condition for the spectral probabilities to be defined.
For a normalized state the position probability density is . With a real potential, the Time-dependent Schrödinger equation and its conjugate give
This is the continuity equation . Integrating over the line yields under the stated decay. A real-valued wave function gives , so its instantaneous current vanishes; the same is true up to a spatially constant phase.
Put . Complete the square in the overlap:
The Gaussian integral is , also for complex displacement by analytic continuation. Hence
The product of square roots fixes the branch convention implicit in the printed square root of . At the norm squared is , which becomes one for the stated . In particular
The centre is and its position variance is .
When differentiating in , keep fixed on the chosen constant-radius orbit. Then
Substitution gives . Since , the chain rule gives . Continue continuously along the time orbit; its sign after a full orbit supplies the usual oscillator zero-point phase. The case of zero displacement is obtained as a limit, since the separate printed and expressions are singular at .
Finally . For real nonzero this is
The printed final current omits the Gaussian normalization factor . Retaining that factor is required both by the normalized state and by the continuity equation. This current is the Gaussian probability density times the velocity of its moving centre, .
Write , and , for nonnegative integer . The angular Laplacian satisfies . Direct radial differentiation gives
Because , the contribution cancels the Coulomb potential in the Hamiltonian. Therefore
The volume element contributes . The squared state factors into radial, polar and uniform azimuthal densities, so the angular normalization cancels in every radial expectation. With ,
The supplied integration-by-parts recurrence gives . Hence
In particular . Put . Chebyshev's inequality gives
For the polar variable set . The polar density is proportional to , so
An exact expression for the requested tail, as well as its useful estimate, is
The inequality is Markov's inequality applied to . If a finite expression is desired, expand : the numerator is and the denominator is the same sum with .
By the union bound, with probability at least both and . The height above the equatorial plane is then at most . The cylindrical radius differs from by at most . Thus the distance from the circle of radius in the equatorial plane is with probability tending to one. This is relative concentration around a growing circle; it does not assert an absolutely shrinking thickness. The probability concentration of a circular Coulomb eigenstate is a precise version of the large-angular-momentum orbit picture.
Take a normalized vector in the required common operator domains. Expanding the squared norm and using self-adjointness gives
Thus its final term is . Set , , . If , minimizing the nonnegative quadratic at gives
Equality holds precisely when the minimum norm vanishes, that is . If , however, then and , so equality is automatic even when . The printed equality criterion needs this zero-vector exception. For example , , saturates the inequality but admits no such real . The exact general criterion is linear dependence of together with vanishing real part of their inner product, as in the uncentered second-moment commutator inequality.
Apply the same calculation to , , whose commutator is unchanged. This gives the Robertson uncertainty principle
If is an eigenvector of , its dispersion is zero; finite dispersion of then forces .
In the position representation, and . The product rule gives , hence . Since commutes with ,
For an energy eigenstate, , so . For the oscillator , and the same argument gives . These expectation identities require the stated finite moments and commutator domains; formal position eigenvectors are not normalizable exceptions.
Apply the Robertson uncertainty principle to each angular-momentum pair:
If is an eigenvector of , then . The inequalities for and force , assuming the relevant moments exist.
Let and write in the Schrödinger picture, with observables constant unless they have an explicit time dependence. In the Heisenberg picture the state is and
Differentiate the two unitary factors to obtain the equation. Unitarity gives .
For the interaction picture choose a reference split , put , and define , . Then , , while evolves with (and its explicit time dependence). Again
These are different unitary allocations of the same dynamics between states and observables, so measured expectations agree.
The canonical commutation relation now gives
Multiplication of the last equation by and integration gives
Since and , both initial expectations of vanish. Therefore
The printed positive displacement endpoint has the wrong sign for the Hamiltonian's positive term. The two turning values are and ; their ordering depends on the sign of . The result oscillates about the displaced equilibrium , exactly as the force predicts.
Choose an orthonormal eigenbasis and the phase convention . Comparing coefficients of the eigenvalue equation at first order yields
Projecting onto and the other eigenvectors gives
Projection of the next-order equation onto gives
These are coefficients of the printed series, so denotes the quadratic coefficient rather than the second derivative itself. Without a phase convention an arbitrary purely imaginary multiple of can be added to the first vector correction. Continuous spectrum, if present, requires the corresponding spectral integral; the oscillator has a discrete complete eigenbasis.
Put and let denote the ground-state density. Then and . Because , integration by parts yields
Thus the two first-order shifts are
The first is the supplied ground-state expression; the second follows because the excited-state density is , so .
Subtracting, and using , gives
The bracket is zero at , tends to one at infinity, and has derivative . Therefore the first-order predicted level gap is
For every it becomes negative for all sufficiently large , crossing when . It is still positive at : the stated conclusion must be read with the large- regime, rather than for every interval width.
For the inner potential curves downward, placing a central barrier between two symmetric minima at . The even unperturbed ground state has its greatest density at the central barrier, while the odd first excited state has a node there and is less penalized. This explains the relative first-order shifts. A negative predicted gap signals failure of that perturbation approximation, not inversion of the exact lowest two states: the true one-dimensional ground state remains nodeless and even, with the odd state above it. At a high barrier the actual low levels instead form a close double-well pair. The apparent level crossing from a finite-interval oscillator perturbation is useful precisely as a diagnostic of the approximation's range.
A density operator is a positive self-adjoint trace-class operator with . A finite expectation is . It represents a pure state exactly when for a unit vector, equivalently or .
For a finite-dimensional spectral decomposition , introduce an auxiliary space with orthonormal vectors and use the enlarged space . Define
Then and . This purification shows that subsystem mixedness can arise from entanglement with an unobserved environment even when the total state is pure. Subsystem measurements alone cannot distinguish these two descriptions.
A nonzero pure bipartite vector is entangled when it cannot be written as a tensor product of two vectors; equivalently its Schmidt rank exceeds one. For mixed bipartite states, entanglement means absence of a convex decomposition into product density operators.
For the nonorthogonal expansion in the question, the unnormalized reduced operator is
Indeed . Positivity follows because , and . Thus is a density operator; if is already normalized, . The Gram factors cannot be dropped merely because the vectors are called bases. For unnormalized , physical expectations likewise divide its raw quadratic form by .
For the Schmidt decomposition diagonalize in an orthonormal basis with its positive eigenvalues . Expand with . The reduced matrix gives . Therefore are orthonormal and
Zero-eigenvalue components vanish because their squared norms are zero. This proves the decomposition for an arbitrary nonzero vector; the zero vector uses the empty sum. For a unit vector .
In the numerical example the coefficient matrix in the two product bases is . Taking the first-subsystem trace yields
The vector is in its nullspace, so rank is at most two; its leading minor has determinant one, so . This is the rank of and the Schmidt rank, proving entanglement. The displayed source ket has norm squared , and the displayed reduced matrix has trace . The physical density operator is ; its nonzero eigenvalues are , since . The raw matrix is correct for the unnormalized quadratic form actually printed.
Put and , with nonnegative integer so the register exists. The geometric sum satisfies
Consequently the matrix with entries has . This proves unitarity and
For a binary output string , expansion of the printed tensor product gives coefficient
Thus the printed product is exactly . It is a correct product decomposition of a Fourier phase state, but the printed recovery identity has inconsistent signs:
by the square of the quantum Fourier transform. To recover instead, use , replacing every product phase by its complex conjugate. Equivalently one may reverse the sign in the definition of . The discrepancy is visible for by taking concentrated at : the printed expression returns the basis vector at . The recovery display also uses as the summation variable on its right while its summand uses ; that dummy variable should be .
For factorization first check . Successive residues are
The first return is . Its half power is , which is neither nor modulo . Therefore
In Shor's algorithm prepare a uniform exponent register of size , conveniently , and reversibly compute into a second register. Measuring that second register, or tracing it out, leaves periodic exponent correlations of period . Conditional on one measured residue, the first register is a superposition over an arithmetic progression of exponents separated by . The quantum Fourier transform converts this periodic structure into peaks near . Continued fractions recover ; when is coprime to , its denominator is . Verify by modular exponentiation and repeat when the reduced denominator is insufficient. For this example is suitable, and useful peaks include those near and . Either transform sign gives the same period information, so the source's inverse-sign error does not invalidate the order-finding mechanism.

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