Quantum Advantage from Measurement-Induced Entanglement in Random Shallow Circuits

We study random constant-depth quantum circuits in a two-dimensional (2D) architecture. While these circuits only produce entanglement between nearby qubits on the lattice, long-range entanglement can be generated by measuring a subset of the qubits of the output state. It is conjectured that this (MIE) proliferates when the circuit depth is at least a constant critical value d∗. For circuits composed of Haar-random two-qubit gates, it is also believed that this coincides with a in the classical hardness of sampling from the output distribution. Here, we provide evidence for a quantum advantage phase transition in the setting of random circuits. Our work extends the scope of recent separations between the computational power of constant-depth quantum and classical circuits, demonstrating that this kind of advantage is present in canonical random circuit sampling tasks. In particular, we show that in any architecture of random shallow Clifford circuits, the presence of long-range MIE gives rise to an unconditional quantum advantage. In contrast, any depth-d 2D quantum circuit that satisfies a short-range MIE property can be classically simulated efficiently and with depth O(d). Finally, we introduce a 2D depth-2 "coarse-grained" circuit architecture, composed of random Clifford gates acting on O(log(n)) qubits, for which we prove the existence of long-range MIE and establish an unconditional quantum advantage.