Quantum and CircuitsReading edition

Projectors and quantum packets

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3.2 Projectors and quantum packets

3.2.1 Orthogonal packet decompositions

Let \({\mathcal H}\) be a finite-dimensional Hilbert space and let \(\{P_\alpha\}_{\alpha\in A}\) be orthogonal projectors satisfying

\[ P_\alpha P_\beta=\delta_{\alpha\beta}P_\alpha, \qquad \sum_{\alpha\in A}P_\alpha=I. \]

Every state and operator decompose as

\[ {\lvert \psi\rangle}=\sum_\alpha P_\alpha{\lvert \psi\rangle}, \qquad X=\sum_{\alpha,\beta}P_\alpha X P_\beta. \]

The diagonal blocks act within packets. The off-diagonal blocks transfer amplitude or coherence between packets.

Define the packet-transfer graph of an operator \(X\) by placing an edge \(\beta\to\alpha\) whenever

\[ P_\alpha X P_\beta\neq0. \]

An exactly symmetry-preserving operator has only diagonal edges. A sparse transfer graph may still permit efficient simulation if the active packets and internal states remain compact.

3.2.2 Conserved observables

Let

\[ Q=\sum_k q_kP_k \]

be a self-adjoint observable with spectral projectors \(P_k\).

Theorem 3.4: Invariant quantum packets

If a unitary \(U\) satisfies \([U,Q]=0\), then

\[ P_iUP_j=0\qquad(i\neq j), \]

and

\[ U=\bigoplus_i U_i, \qquad U_i=P_iUP_i\big|_{P_i{\mathcal H}}. \]

If \(P_k{\lvert \psi\rangle}={\lvert \psi\rangle}\), then \(P_kU{\lvert \psi\rangle}=U{\lvert \psi\rangle}\).

Proof

Since \(U\) commutes with \(Q\), it commutes with every spectral projector obtained from the functional calculus of \(Q\). Thus

\[ P_iUP_j=UP_iP_j=0 \]

for \(i\neq j\). Summing the diagonal blocks gives the direct-sum form. The final statement follows from

\[ P_kU{\lvert \psi\rangle}=UP_k{\lvert \psi\rangle}=U{\lvert \psi\rangle}. \]

3.2.3 Residue and character packets

Suppose \(Q\) has integer spectrum. For a modulus \(M\), define

\[ B_r^{(M)}= \sum_{k\equiv r\pmod M}P_k. \]

Let

\[ V_M=\exp\left(\frac{2\pi i}{M}Q\right), \qquad \omega_M=e^{2\pi i/M}. \]

Then

\[ B_r^{(M)} = \frac1M\sum_{\ell=0}^{M-1} \omega_M^{-r\ell}V_M^\ell. \]
(3.1)

On a \(Q\)-eigenvector, the right side is the roots-of-unity filter. The same finite-character formula selects residue classes in signal polyphase analysis and charge sectors in quantum theory.

3.2.4 Finite-group projectors

Let a finite group \(G\) act unitarily by \(U_g\). For an irreducible character \(\chi\) of degree \(d_\chi\), the central isotypic projector is

\[ P_\chi = \frac{d_\chi}{|G|} \sum_{g\in G} \overline{\chi(g)}U_g. \]
(3.2)

Character orthogonality gives

\[ P_\chi P_\psi=\delta_{\chi\psi}P_\chi, \qquad \sum_\chi P_\chi=I \]

on the represented space. If an operator \(A\) commutes with every \(U_g\), then

\[ P_\chi A P_\psi=0 \qquad(\chi\neq\psi). \]

This framework includes momentum, parity, total spin, point-group symmetry, permutation symmetry, and stabilizer syndrome labels. The isotypic projector identifies a symmetry type. It does not necessarily resolve the multiplicity space within that type.

3.2.5 Nested refinements

If one conserved label is too coarse, intersect commuting projector families. For mutually commuting observables \(Q_1,\ldots,Q_s\), a joint packet has the form

\[ P_{\boldsymbol\alpha} = P^{(1)}_{\alpha_1}\cdots P^{(s)}_{\alpha_s}. \]

The dimension can decrease dramatically, but each extra label must be efficiently computable and preserved. A refinement that requires exponential preprocessing merely relocates the complexity.

Remark 3.5

A packet decomposition is basis independent as an orthogonal direct sum, although a practical simulator must choose a concrete basis or compressed coordinate system within each active packet.

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