Variational quantum algorithmsVariational quantum algorithms have emerged as a leading framework for harnessing near-term quantum processors, combining parameterized quantum circuits with classical optimizationClassical optimization to approximate solutions of classically intractable problems. Quantum state preparationQuantum state preparation is a critical component in implementing variational quantum algorithmsVariational quantum algorithms. Specifically, quantum state preparationQuantum state preparation sets the initial landscape explored by the variational ansatzAnsatz and ultimately bounds the accuracy of the achieved solution. This chapter provides a comprehensive overview of end-to-end framework from fiducial initialization and ansatzAnsatz selection, through measurement, cost-function evaluation, and classical parameter updates, emphasizing various trade-offs in noisy intermediate-scale quantum hardware. We present diverse state-preparation methods, spanning conventional techniques such as active and passive resetPassive reset, dissipative dynamicsDissipative dynamics, and algorithmic coolingAlgorithmic cooling, and highlighting their suitability for different computational goals and hardware constraints. We also discuss quantum state preparationQuantum state preparation using measurement-induced steeringMeasurement-induced steering that can outperform conventional state preparationState preparation methods.