🤖 AI Summary
This work investigates communication cost trade-offs for functions of the form $f circ G^n$, where $f$ is a Boolean function and $G$ is the inner-product gadget, in the hybrid classical–quantum communication model. Focusing on two-way “classical-then-quantum” hybrid protocols, we establish the first unified hybrid lifting theorem, integrating classical query complexity and quantum approximate degree via generalized discrepancy analysis under imbalanced distributions. We obtain the first nontrivial classical–quantum communication lower bound in the two-way hybrid setting: $c + q^2 = Omega(max{deg(f), mathrm{bs}(f)} cdot log n)$, where $c$ and $q$ denote classical and quantum communication costs, respectively. In particular, for read-once formulas $f$, we achieve nearly tight bounds: $Theta(n log n)$ classical bits or $widetilde{Theta}(sqrt{n} log n)$ quantum bits are necessary. Our results demonstrate that classical preprocessing cannot substantially reduce quantum communication requirements, revealing an inherent resource bottleneck in hybrid models.
📝 Abstract
We investigates a model of hybrid classical-quantum communication complexity, in which two parties first exchange classical messages and subsequently communicate using quantum messages. We study the trade-off between the classical and quantum communication for composed functions of the form $fcirc G^n$, where $f:{0,1}^n o{pm1}$ and $G$ is an inner product function of $Θ(log n)$ bits. To prove the trade-off, we establish a novel lifting theorem for hybrid communication complexity. This theorem unifies two previously separate lifting paradigms: the query-to-communication lifting framework for classical communication complexity and the approximate-degree-to-generalized-discrepancy lifting methods for quantum communication complexity. Our hybrid lifting theorem therefore offers a new framework for proving lower bounds in hybrid classical-quantum communication models.
As a corollary, we show that any hybrid protocol communicating $c$ classical bits followed by $q$ qubits to compute $fcirc G^n$ must satisfy $c+q^2=Ωig(max{mathrm{deg}(f),mathrm{bs}(f)}cdotlog nig)$, where $mathrm{deg}(f)$ is the degree of $f$ and $mathrm{bs}(f)$ is the block sensitivity of $f$. For read-once formula $f$, this yields an almost tight trade-off: either they have to exchange $Θig(ncdotlog nig)$ classical bits or $widetildeΘig(sqrt ncdotlog nig)$ qubits, showing that classical pre-processing cannot significantly reduce the quantum communication required. To the best of our knowledge, this is the first non-trivial trade-off between classical and quantum communication in hybrid two-way communication complexity.