On the need for large quantum depth

Near-term quantum computers are likely to have small depths due to short coherence time and noisy gates. A natural approach to leverage these quantum computers is interleaving them with classical computers. Understanding the capabilities and limits of this hybrid approach is an essential topic in quantum computation. Most notably, the quantum Fourier transform can be implemented by a hybrid of logarithmic-depth quantum circuits and a classical polynomial-time algorithm. Therefore, it seems possible that quantum polylogarithmic depth is as powerful as quantum polynomial depth in the presence of classical computation. Indeed, Jozsa conjectured that "Any quantum polynomial-time algorithm can be implemented with only O(log n) quantum depth interspersed with polynomial-time classical computations." This can be formalized as asserting the equivalence of BQP and "BQNC BPP ". On the other hand, Aaronson conjectured that "there exists an oracle separation between BQP and BPP BQNC ." BQNC BPP and BPP BQNC are two natural and seeming incomparable ways of hybrid classicalquantum computation. In this work, we manage to prove Aaronson's conjecture and in the meantime disproves Jozsa's conjecture relative to an oracle. In fact, we prove a stronger statement that for any depth parameter d, there exists an oracle that separates quantum depth d and 2d + 1 in the presence of classical computation. Thus, our results show that relative to oracles, doubling the quantum circuit depth indeed gives the hybrid model more power, and this cannot be traded by classical computation. * Indeed, the experiments of Google and NASA consider circuits with depth at most 20.