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A 4f pulse shaper uses a diffraction grating to disperse an input pulse, a lens to focus its frequencies at different positions in a shared Fourier plane, a spectral mask or spatial light modulator there to modify them, and a second lens and grating to recombine them. In the symmetric idealization the distances are $f,f,f,f$, with the lenses separated by $2f$. Shaping the spatially resolved spectrum implements spectral pulse shaping rather than a direct time-domain mask.

Use spectral pulse shaping of a broadband coherent laser pulse. A 4f pulse shaper disperses the frequency components with a diffraction grating, maps them to different transverse positions with a lens, applies a programmable complex mask at the Fourier plane, and recombines them with a second lens and grating. A spatial light modulator or suitable amplitude-and-phase modulation stages impose the mask.

Compute the desired complex spectral field by Fourier transform of the required temporal envelope, including its phase. In the available spectral band, chooseThe mask amplitude changes the spectral weights, and its phase changes temporal interference and chirp. Recombining the masked spectrum produces the shaped temporal pulse. A phase-only device needs additional optics to implement independent amplitude control. Calibrate the mask-to-frequency mapping and verify the output pulse experimentally, correcting it iteratively if needed.

The source bandwidth must contain the requested spectral components; a passive mask attenuates rather than supplies missing energy, so an overall rescaling may be needed. Finite spectral resolution determines the accessible time window, and finite bandwidth limits rapid temporal features.

An open-loop control is computed from a dynamical model and the initial preparation, then applied without changing it in response to measurements during that run. Controllability determines which transformations are possible in principle; field design must also account for duration, available control generators, amplitude and bandwidth limits, and calibration errors.

Three useful model-based strategies are the following. Resonant quantum control chooses carrier frequencies and phases to select transitions, and uses quantum pulse area or elementary rotation gates to compile the desired transformation. Adiabatic quantum control chooses a slowly varying path of Quantum Hamiltonians whose relevant eigenstate connects the initial and target states, maintaining a sufficiently large spectral gap. Quantum optimal control parametrizes or varies the fields and maximizes a fidelity or observable objective, while penalizing resources and enforcing the dynamical equations. These can all produce predetermined laboratory waveforms; experimental feedback is a separate design choice.

For a detailed variational construction, letChoose a positive target observable $O$, for example $O=|{\psi }_d⟩⟨{\psi }_d|$ for pure-state transfer. MaximizeThe terminal term is the target probability or observable expectation, and the quadratic integral penalizes field energy. A costate $\chi (t)$ enforces the Schrödinger equation through the real augmented functionalVariation in $\chi$ recovers the state equation. Integrating the variation in $\dot{\psi }$ by parts gives the terminal boundary term $2\mathrm{Re}⟨O\psi (T)-\chi (T)|\delta \psi (T)⟩$ and the interior adjoint equation. Thus the Euler-Lagrange conditions areThe costate obeys the same Hamiltonian equation but is propagated backward from its terminal value. The field variation isHence the variational costate gradient for Hamiltonian quantum control isAt an unconstrained stationary field,These equations couple forward and backward boundary data, so this is not a single initial-value integration, nor a direct feedback law for an unknown experimental state.

A practical direct-adjoint looping algorithm starts from an admissible trial field. Propagate $\psi$ forward and store its trajectory; set $\chi (T)=O\psi (T)$ and propagate $\chi$ backward; compute $g_k$ along the two trajectories; then update $u_k^{\mathrm{new}}=u_k+\eta g_k$ for a positive step size $\eta$. A line search evaluates the actual objective and decreases $\eta$ until the ascent condition is met. Project into the admissible amplitude range or optimize a finite Fourier or pulse basis to enforce bandwidth constraints. Repeat until the projected gradient and change in objective are small. Repeated initializations help explore different local optima; the stationarity equations alone do not guarantee a global optimum.

For a piecewise constant discretization, define $H_j=H_0+{\sum }_k{u}_{k,j}{H}_k$ and $U_j=e^{-i\Delta t{H}_j/\hslash }$. Forward multiplication gives the state trajectory; backward multiplication gives the costate. The exact matrix-exponential derivative isThis supplies accurate discrete gradients even when $H_j$ and $H_k$ do not commute. The small-step expression $\partial U_j/\partial u_{k,j}\simeq -i\Delta t{H}_k{U}_j/\hslash$ is only an approximation. Forward/backward factorization is the basis of gradient ascent pulse engineering. For a full-gate objective, propagate all basis columns or $U(t)$ itself and use a terminal objective such as the phase-insensitive unitary gate error; optimizing one state alone does not implement a prescribed operation on every input.

To implement the result, convert the optimized envelope and quadratures into the calibrated electric or magnetic drive fields. An arbitrary-waveform source can set time-domain quadratures; optical spectral pulse shaping applies a complex mask to the available pulse spectrum,using, for example, a 4f pulse shaper and spatial light modulator. Finite spectral support, mask resolution and actuator limits must be included in the optimization: smoothing an unconstrained optimum afterward may spoil it. Simulating the calibrated final pulse, optionally over an ensemble of detunings or calibration errors, checks its predicted fidelity and robustness. The computed fields are then executed as open-loop control, with all measurements used for later calibration rather than an assumed instantaneous state readout.

A 4f pulse shaper supplies an experimental realization of spectral pulse shaping. A first diffraction grating separates the frequencies of a broadband coherent pulse; a lens maps them to distinct transverse positions in its back focal plane. Place an amplitude-and-phase mask, or calibrated spatial light modulator with appropriate polarization optics, in that Fourier plane. A second lens and grating recombine the shaped spectrum into one output beam. The original schematic below shows the frequency channels and the four focal-length separations.

If the mask is $M(\omega )=A(\omega )e^{i\phi (\omega )}$, then ${\tilde{E}}_{\mathrm{out}}=M{\tilde{E}}_{\mathrm{in}}$. In principle choose $M={\tilde{E}}_{\mathrm{target}}/{\tilde{E}}_{\mathrm{in}}$ wherever the input spectrum is nonzero and recover the temporal waveform by inverse Fourier transform. Set the desired real physical field by conjugate symmetry of its positive and negative frequency components; its envelope and carrier phase implement the optimized control in the appropriate interaction frame.

A passive mask cannot amplify spectral components or create frequencies absent from the input, so the desired waveform must respect available bandwidth and may need overall rescaling or amplification elsewhere. Finite spectral resolution limits the useful temporal window, while total bandwidth limits the shortest temporal features. A phase-only modulator cannot in general implement independent amplitude and phase shaping without extra optics. These are hardware admissibility constraints, not corrections supplied by the variational calculation after the fact.

Spectral pulse shaping implements a calculated optical control by modifying its complex frequency spectrum. If the available input pulse has spectrum ${\tilde{E}}_{\mathrm{in}}(\omega )$, program a calibrated mask $M(\omega )=a(\omega )e^{i\phi (\omega )}$ so thatThe temporal waveform follows from Fourier inversion. For a real applied field, its spectrum has conjugate symmetry, so the mask must satisfy $M(-\omega )=M(\omega {)}^{\ast }$. Spectral phase controls interference between frequencies and hence their arrival times, chirp and temporal subpulses; spectral attenuation changes their weights. The optimized field envelope is translated into this complex mask, with compensation for known phase shifts and losses in the optical system.

A typical 4f pulse shaper contains a first diffraction grating, a focusing lens, a mask or spatial light modulator in the common focal plane, a second lens and a second grating. The first grating separates the frequencies by angle. The first lens converts those angles into different transverse positions at the spectral Fourier plane. The pixels of the spatial light modulator modify the amplitude and phase of the corresponding frequency bins. The second lens and grating reverse this spatial dispersion and recombine the components into one shaped output beam. In the ideal symmetric layout the four consecutive propagation distances are $f,f,f,f$, giving the name $4f$.

A phase-only spatial light modulator needs suitable polarization optics or another modulation stage for independent amplitude shaping. A passive mask has $0\le a(\omega )\le 1$ and cannot create frequencies absent from the input; finite bandwidth and finite pixel resolution limit temporal features and the useful shaping window. These constraints must be included when converting a mathematical optimum into a laboratory pulse. The programmed mask is an open-loop control, although repeated measurements of the output pulse or system performance can be used to calibrate or optimize it experimentally.

A 2018 photonic experiment makes the distinction between populations and quantum coherence controllable. A 400-nm laser pumped a crystal to generate paired photons, filtered near 800 nm. One photon triggered collection; the other entered the apparatus. A half-wave plate and polarizing beam splitter selected horizontal photon polarization; another half-wave plate prepared balanced $H,V$ quantum superpositions. Separated polarization paths and diffraction gratings let a spatial light modulator control their frequency-dependent quantum phases and spectral weights. Recombined paths passed through quartz plates whose adjustable thickness controlled polarization–frequency coupling. Quarter- and half-wave plates plus a polarizing beam splitter selected tomography bases; jointly registered photodetector events supplied the readout. Quantum state tomography inferred polarization density matrices at each thickness. The dephasing model preserves diagonal populations while changing off-diagonal quantum coherence. Here the unobserved photon frequency acts as the environment for the polarization qubit. Finite modulator resolution and imperfect spectral shaping limited agreement with the intended dynamics; this experiment does not establish exact $I/2$ preparation or the ideal probabilities above. ^[ref]

A spatial light modulator applies an electronically controlled spatially varying optical phase, amplitude, or polarization change. In a 4f pulse shaper, frequency maps to transverse position, allowing the pixels to implement a calibrated spectral mask. A phase-only modulator generally needs additional polarization optics or another modulation stage for independent amplitude control.