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This theoretical quantum-information paper gives query-complexity bounds for searching for a marked mode among N bosonic modes under a mean-boson-number budget, with matching lower bounds. Its main finding is that non-Gaussianity, not entanglement, is required for optimal scaling in the lossless case, which challenges the assumption that entanglement is the key resource for quantum search advantage. Results under boson loss and the proposed optical and superconducting experiments are still theoretical and would need hardware validation.
Bosonic unstructured search: quantum enhancement without entanglement
arXiv:2610.17163v1 Announce Type: new Abstract: We consider unstructured search using multimode bosonic quantum systems under energy constraints. The task is to locate an unknown marked mode among $N$ possibilities using arbitrary control, subject to a time-averaged mean-boson-number budget $n_{{\text{b}}}\gg 1$. We analyze a continuous-time phase-shift oracle of strength $B_{0}$, with cost given by the total oracle time, and a discrete oracle with fixed phase $\phi_{0}$, with cost given by the number of queries. We give algorithms that identify the target with query complexity $O(\sqrt{N}/{n_{{\text{b}}}}B_{0})$ for continuous-time oracles or $O(\sqrt{N}/n_{{\text{b}}} |{\sin(\phi_{0}/{2})}|)$ for discrete oracles with $n_{{\text{b}}} |{\sin(\phi_{0}/{2})}|=O(1)$. In contrast, for discrete oracles with $n_{{\text{b}}} |{\sin(\phi_{0}/{2})}|=\Omega(1)$, we provide an algorithm using $O(\max\{1,\sqrt{N/n_{{\text{b}}}|{\sin(\phi_{0}/{2})}|}\})$ queries. We also prove matching lower bounds on the query complexity, showing that these algorithms are asymptotically optimal. Furthermore, we show that, in the absence of loss, non-Gaussianity is necessary to achieve the optimal joint query scaling in $N$ and $n_{{\text{b}}}$, but entanglement is not. Under uniform boson loss at rate $\gamma$, we prove a query lower bound of $\Omega ( \gamma N / n _{{\text{b}}} B_{0}^{2} )$, attained for $\gamma = \Omega(B_{0} \sqrt{n _{{\text{b}}}/N})$ using coherent-state probes. Finally, we propose experimental implementations using multipass optical microscopy or superconducting circuits as potential routes to speeding up imaging or device calibration with a low boson-number budget.
Abstract:We consider unstructured search using multimode bosonic quantum systems under energy constraints. The task is to locate an unknown marked mode among $N$ possibilities using arbitrary control, subject to a time-averaged mean-boson-number budget $n_{\text{b}}\gg 1$. We analyze a continuous-time phase-shift oracle of strength $B_{0}$, with cost given by the total oracle time, and a discrete oracle with fixed phase $\phi_{0}$, with cost given by the number of queries. We give algorithms that identify the target with query complexity $O(\sqrt{N}/{n_{\text{b}}}B_{0})$ for continuous-time oracles or $O(\sqrt{N}/n_{\text{b}} |{\sin(\phi_{0}/{2})}|)$ for discrete oracles with $n_{\text{b}} |{\sin(\phi_{0}/{2})}|=O(1)$. In contrast, for discrete oracles with $n_{\text{b}} |{\sin(\phi_{0}/{2})}|=\Omega(1)$, we provide an algorithm using $O(\max\{1,\sqrt{N/n_{\text{b}}|{\sin(\phi_{0}/{2})}|}\})$ queries. We also prove matching lower bounds on the query complexity, showing that these algorithms are asymptotically optimal. Furthermore, we show that, in the absence of loss, non-Gaussianity is necessary to achieve the optimal joint query scaling in $N$ and $n_{\text{b}}$, but entanglement is not. Under uniform boson loss at rate $\gamma$, we prove a query lower bound of $\Omega ( \gamma N / n _{\text{b}} B_{0}^{2} )$, attained for $\gamma = \Omega(B_{0} \sqrt{n _{\text{b}}/N})$ using coherent-state probes. Finally, we propose experimental implementations using multipass optical microscopy or superconducting circuits as potential routes to speeding up imaging or device calibration with a low boson-number budget.
arXiv:2610.17163 [quant-ph]
(or arXiv:2610.17163v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.17163 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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