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Synchronisation & the Kuramoto model

Kuramoto modelA network of phase oscillators, each with its own natural frequency, coupled through a matrix $K_{ij}$; the canonical model of spontaneous synchronisation. See phase synchronisation.
Order parameter $R$$R=\lvert\frac1N\sum_j e^{i\theta_j}\rvert$, the magnitude of the mean phasor. Runs from 0 (incoherent) to 1 (perfect lockstep); the scalar measure of how synchronised a population is.
Natural frequencyThe rate $\omega_i$ at which oscillator $i$ would advance in isolation. A spread of natural frequencies is the disordering force that coupling must overcome.
Coupling matrix $K_{ij}$The strength with which oscillator $i$ feels oscillator $j$. Its structure (the topology) decides how easily a network locks. See network topology.
Phase lockingTwo or more oscillators holding a constant phase difference. For two oscillators it occurs once the coupling exceeds the frequency mismatch, $K\ge\lvert\Delta\omega\rvert$ (the Adler condition).
Partial synchronisationA regime between disorder and full lock where a cluster of oscillators entrains while others drift; $R$ sits between 0 and 1.
Mean fieldThe all-to-all coupling limit, where every oscillator is pulled toward the population average rather than named neighbours.
Fiedler eigenvalueThe smallest non-zero eigenvalue $\lambda_2$ of a network's Laplacian; a measure of how well-connected the graph is, and the input to the library's $T_{\mathrm{BKT}}$ estimate.

From classical to quantum

XY Hamiltonian$H_{XY}=\sum_{i<j}K_{ij}(\sigma^x_i\sigma^x_j+\sigma^y_i\sigma^y_j)+\sum_i\omega_i Z_i$; the linear, quantum-native model the Kuramoto dynamics reduce to in the small-oscillation limit.
TrotterisationApproximating a continuous evolution $e^{-i(A+B)t}$ by alternating short evolutions $(e^{-iAt/n}e^{-iBt/n})^n$; the error from the non-commuting terms shrinks with more steps. See Trotterisation.
VQEVariational Quantum Eigensolver — optimise the parameters of a shallow circuit to minimise an energy expectation, rather than evolving in real time. See algorithms.
Parameter-shift ruleAn exact circuit gradient from two evaluations shifted by $\pm\tfrac\pi2$: $\partial_\theta\langle H\rangle=\tfrac12[\langle H\rangle(\theta+\tfrac\pi2)-\langle H\rangle(\theta-\tfrac\pi2)]$. See algorithms.
AnsatzThe parametrised circuit template a variational method optimises over; its structure sets what states are reachable.
Expectation value$\langle H\rangle=\langle\psi\lvert H\rvert\psi\rangle$, the average of an observable in a state — the quantity read off a quantum run and the target of variational optimisation.

Algebra & symmetry

Dynamical Lie algebra (DLA)The operator space generated by taking every nested commutator of a Hamiltonian's terms; it captures everything the dynamics can ever do. See DLA parity.
Parity operator $P$$P=\prod_i Z_i$, with eigenvalue $(-1)^{\text{popcount}}$ on a basis state; conserved by the XY Hamiltonian, so $[H_{XY},P]=0$.
Parity sectorOne of the two equal blocks the parity symmetry splits the Hilbert space into — even ($P=+1$) and odd ($P=-1$), each of dimension $2^{n-1}$.
DLA parity decomposition$\mathrm{DLA}(H_{XY})=\mathfrak{su}(2^{n-1})\oplus\mathfrak{su}(2^{n-1})$, dimension $2^{2n-1}-2$; the algebra splits with the parity sectors. See the theorem.
Parity leakageProbability that has escaped a chosen parity sector; zero for the ideal parity-conserving Hamiltonian, and a direct fingerprint of decoherence on hardware.
DLA parity asymmetryThe Phase 1 hardware observation that the odd parity sector is more decoherence-resistant than the even one. See Phase 1 results.

Phase transitions & geometry

BKT transitionBerezinskii–Kosterlitz–Thouless: a transition with no symmetry breaking, driven by vortex–antivortex unbinding; correlations turn from algebraic to exponential. See BKT.
Correlation length $\xi$The distance over which phases stay aligned. Above $T_{\mathrm{BKT}}$ it diverges with an essential singularity, $\xi\sim e^{b/\sqrt{T-T_{\mathrm{BKT}}}}$.
Nelson–Kosterlitz jumpThe universal drop in spin stiffness at the BKT point, $\rho_s(T_{\mathrm{BKT}}^-)=\tfrac2\pi T_{\mathrm{BKT}}$.
Berry (geometric) phaseA phase a state accrues around a closed loop in parameter space that depends only on the loop's geometry. For a spin-½ it is $-\tfrac12$ the enclosed solid angle. See Berry phase.
Solid angle $\Omega$The area a loop encloses on the sphere of states; for a latitude loop, $\Omega=2\pi(1-\cos\theta_0)$. Sets the Berry phase.
Wilson loopThe gauge-invariant product of consecutive-state overlaps $\prod_i\langle\psi_i\lvert\psi_{i+1}\rangle$ around a loop; the discrete way to read off a geometric phase.

Pulse-level control

STIRAPStimulated Raman Adiabatic Passage — population transfer through a three-level system via a dark state, using a counterintuitive Stokes-before-pump ordering.
ICI pulseIntuitive–Counterintuitive–Intuitive: a three-segment, time-optimal mixing-angle schedule for a STIRAP-like transfer. See ICI pulse shaping.
Hypergeometric pulseA two-parameter $(\alpha,\beta)$ envelope family, $\operatorname{sech}(\gamma t)\,{}_2F_1(\alpha,\beta;\tfrac{\alpha+\beta+1}2;\tfrac{1+\tanh\gamma t}2)$, containing Allen–Eberly, STIRAP and Demkov–Kunike. See hypergeometric pulses.
Allen–Eberly / Demkov–KunikeClassic pulse shapes recovered as special points of the hypergeometric family — $(\alpha,\beta)=(0,0)$ (a pure $\operatorname{sech}$) and $(1,\tfrac12)$ respectively.
Mixing angle $\theta(t)$The single angle whose sine and cosine set the pump and Stokes Rabi drives, $\Omega_P=\Omega_0\sin\theta,\ \Omega_S=\Omega_0\cos\theta$, keeping total power fixed.

Error mitigation

Zero-noise extrapolation (ZNE)Measure an observable at several amplified noise levels, then fit and extrapolate back to zero noise. See algorithms.
Gate foldingAmplifying a circuit's noise on purpose by inserting $G\,(G^\dagger G)^{k}$, the input ZNE needs at odd noise scales $1,3,5,\dots$
GUESSSymmetry-guided mitigation: use the known-ideal decay of a conserved symmetry to calibrate the noise and correct the target observable. See GUESS.
Richardson extrapolationFitting a polynomial through the noise-scaled points and reading its value at zero; a linear fit is order 1, a quadratic order 2.
PEC / DDDProbabilistic Error Cancellation and Digital Dynamical Decoupling — further mitigation methods in the library's toolbox alongside ZNE and GUESS.

Hardware & validation

IBM Heron r2The superconducting processor generation on which the Phase 1 campaign ran (device ibm_kingston). See hardware validation.
SusceptanceThe imaginary part of a power line's admittance; for the power-grid mapping it sets the Kuramoto coupling $K_{ij}=V_iV_jB_{ij}/M_i$. See applications.
Welch's t-testA statistical test for a difference in means with unequal variances; used to compare the even and odd parity sectors in the Phase 1 analysis.
Raw countsThe unprocessed measurement outcomes from a quantum run, kept so every downstream figure can be recomputed. See reproducibility.
Result packA bundle of raw counts, metadata and provenance for a run, so a claim can be checked from its evidence rather than taken on trust.