Quantum advantage from measurement-induced entanglement in random shallow circuits
Adam Bene Watts, David Gosset, Yinchen Liu, Mehdi Soleimanifar

TL;DR
This paper demonstrates that measurement-induced entanglement in random shallow quantum circuits can lead to a quantum advantage in sampling tasks, with evidence of a phase transition in computational complexity.
Contribution
It provides the first evidence of a quantum advantage phase transition in random Clifford circuits and introduces a new shallow circuit architecture exhibiting this advantage.
Findings
Long-range measurement-induced entanglement (MIE) enables quantum advantage.
Unconditional quantum advantage shown in certain shallow Clifford circuits.
A new depth-2, log(n)-qubit architecture exhibits long-range MIE and quantum advantage.
Abstract
We study random constant-depth quantum circuits in a two-dimensional 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 long-range measurement-induced entanglement (MIE) proliferates when the circuit depth is at least a constant critical value. For circuits composed of Haar-random two-qubit gates, it is also believed that this coincides with a quantum advantage phase transition 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 Clifford 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…
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Taxonomy
TopicsSurface and Thin Film Phenomena · Advancements in Semiconductor Devices and Circuit Design · Quantum and electron transport phenomena
