Litcius/Paper detail

Effect of Nonunital Noise on Random-Circuit Sampling

Bill Fefferman, Soumik Ghosh, Michael J. Gullans, Kohdai Kuroiwa, Kunal Sharma

2024PRX Quantum17 citationsDOIOpen Access PDF

Abstract

In this work, drawing inspiration from the type of noise present in real hardware, we study the output distribution of random quantum circuits under practical nonunital noise sources with constant noise rates. We show that even in the presence of unital sources such as the depolarizing channel, the distribution, under the combined noise channel, never resembles a maximally entropic distribution at any depth. To show this, we prove that the output distribution of such circuits never anticoncentrates—meaning that it is never too “flat”—regardless of the depth of the circuit. This is in stark contrast to the behavior of noiseless random quantum circuits or those with only unital noise, both of which anticoncentrate at sufficiently large depths. As a consequence, our results shows that the complexity of random-circuit sampling under realistic noise is still an open question, since anticoncentration is a critical property exploited by both state-of-the-art classical hardness and easiness results. Published by the American Physical Society 2024

Topics & Concepts

Noise (video)Electronic circuitMathematicsDistribution (mathematics)Sampling (signal processing)Statistical physicsComputer sciencePhysicsMathematical analysisQuantum mechanicsTelecommunicationsArtificial intelligenceDetectorImage (mathematics)Quantum Computing Algorithms and ArchitectureLow-power high-performance VLSI designQuantum Information and Cryptography