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Quantum Machine Learning
Entanglement Theory Quantum Correlations
Quantum State Preparation Representation
Quantum Simulation
Hybrid Decision Trees: Longer Quantum Time is Strictly More Powerful
arXiv
Authors: Xiaoming Sun, Yufan Zheng
Year
2019
Paper ID
14437
Status
Preprint
Abstract Read
~2 min
Abstract Words
236
Citations
N/A
Abstract
In this paper, we introduce the hybrid query complexity, denoted as Q(f;q), which is the minimal query number needed to compute f, when a classical decision tree is allowed to call q'-query quantum subroutines for any q'leq q. We present the following results: bullet There exists a total Boolean function f such that Q(f;1) = widetilde{mathcal{O}}\(R(f\)4/5). bullet Q(f;q) = Ω\(bs(f\)/q + sqrt{bs(f)}) for any Boolean function f; the lower bound is tight when f is the {rm O{small R}} function. bullet Q\(g circ {rm X{small OR}}C log n;1\) = widetildeΩ\(sqrt{n}\) for some sufficiently large constant C, where g := {rm B{small OOL}S{small IMON}}n is a variant of Simon's problem. Note that Q\(gcirc {rm X{small OR}}C log n\) = mathcal{O}\(polylog n\). Therefore an exponential separation is established. Furthermore, this open the road to prove the conjecture forall k, Q\(g circ {rm X{small OR}}_{C logk+1 n};logk n\) = widetildeΩ\(sqrt{n}\), which would imply the oracle separation mathsf{HP}\(mathsf{QSIZE}(n^α\))mathfrak{O} subsetneq mathsf{BQP}mathfrak{O} for any α, where mathsf{HP}\(mathsf{QSIZE}(n^α\)) is a complexity class that contains mathsf{BQTIME}\(n^α\)^{mathsf{BPP}} and mathsf{BPP}^{mathsf{BQTIME}\(n^α\)} in any relativized world.
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- In this paper, we introduce the hybrid query complexity, denoted as Q(f;q), which is the minimal query number needed to compute f, when a classical decision tree is allowed to...
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