aiqbench analysis
This paper presents a hybrid quantum-classical spatial search family that trades circuit depth against total query cost, which matters for near-term and early fault-tolerant hardware that cannot run deep coherent quantum-walk circuits. The results are theoretical, and the practical benefit depends on how setup, update, and checking costs behave in real problem instances. The optimal depth-query trade-off for fixed-point amplitude amplification may also be reusable in other hybrid algorithm designs.
Quantum-classical algorithm interpolation for spatial search
arXiv:2610.19255v1 Announce Type: new Abstract: Quantum-walk algorithms can quadratically reduce the dependence of spatial search on the classical hitting time $\mathrm{HT}$. Realising this speedup using standard quantum-walk algorithms, however, requires deep coherent circuits, limiting their applicability on near-term and early fault-tolerant quantum devices. We derive a parameterised family of hybrid quantum-classical spatial search algorithms that continuously interpolates between the classical and fully coherent quantum regimes, trading off circuit depth for total query complexity. For any $\gamma\in[0,1]$, our algorithms use circuits of depth $\widetilde{O}(\mathrm{HT}^{\gamma/2})$ and find a marked vertex with constant success probability at total cost $\widetilde{O}(\mathrm{HT}^{1-\gamma}\mathsf{S} + \mathrm{HT}^{1-\gamma/2}(\mathsf{U} + \mathsf{C}))$, where $\mathsf{S}$, $\mathsf{U}$, and $\mathsf{C}$ denote the setup, update, and checking costs, respectively. We also derive an optimal continuous depth-query trade-off for fixed-point amplitude amplification, providing a potential building block for other hybrid designs.
Abstract:Quantum-walk algorithms can quadratically reduce the dependence of spatial search on the classical hitting time $\mathrm{HT}$. Realising this speedup using standard quantum-walk algorithms, however, requires deep coherent circuits, limiting their applicability on near-term and early fault-tolerant quantum devices. We derive a parameterised family of hybrid quantum-classical spatial search algorithms that continuously interpolates between the classical and fully coherent quantum regimes, trading off circuit depth for total query complexity. For any $\gamma\in[0,1]$, our algorithms use circuits of depth $\widetilde{O}(\mathrm{HT}^{\gamma/2})$ and find a marked vertex with constant success probability at total cost $\widetilde{O}(\mathrm{HT}^{1-\gamma}\mathsf{S} + \mathrm{HT}^{1-\gamma/2}(\mathsf{U} + \mathsf{C}))$, where $\mathsf{S}$, $\mathsf{U}$, and $\mathsf{C}$ denote the setup, update, and checking costs, respectively. We also derive an optimal continuous depth-query trade-off for fixed-point amplitude amplification, providing a potential building block for other hybrid designs.
arXiv:2610.19255 [quant-ph]
(or arXiv:2610.19255v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.19255 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 220 words
Related coverage
Structure-Preserving Quantum Method of Lines for Evolutionary PDEs with Mixed Boundary Conditions
arXiv · Jun 3, 2026

Quantum walks with atoms offer a quadratic speedup
Quantum Zeitgeist · Oct 13, 2026

Korea University Team Presents LLM-Qubo Framework for Multi-Drone Assignment Optimisation
Quantum Zeitgeist · Jun 17, 2026

Sampled-Based Guided Quantum Walk: Non-variational quantum algorithm for combinatorial optimization
Quantum Journal · Oct 13, 2026