Out-of-distribution generalisation for learning quantum channels with low-energy coherent states

Fuente: arXiv
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Main Authors: Pereira, Jason L., Zhuang, Quntao, Banchi, Leonardo
Format: Preprint
Published: 2025
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author Pereira, Jason L.
Zhuang, Quntao
Banchi, Leonardo
author_facet Pereira, Jason L.
Zhuang, Quntao
Banchi, Leonardo
contents When experimentally learning the action of a continuous variable quantum process by probing it with inputs, there will often be some restriction on the input states used. One experimentally simple way to probe a quantum channel is using low energy coherent states. Learning a quantum channel in this way presents difficulties, due to the fact that two channels may act similarly on low energy inputs but very differently for high energy inputs. They may also act similarly on coherent state inputs but differently on non-classical inputs. Extrapolating the behaviour of a channel for more general input states from its action on the far more limited set of low energy coherent states is a case of out-of-distribution generalisation. To be sure that such generalisation gives meaningful results, one needs to relate error bounds for the training set to bounds that are valid for all inputs. We show that for any pair of channels that act sufficiently similarly on low energy coherent state inputs, one can bound how different the input-output relations are for any (high energy or highly non-classical) input. This proves out-of-distribution generalisation is always possible for learning quantum channels using low energy coherent states, as long as enough samples are used.
format Preprint
id arxiv_https___arxiv_org_abs_2502_04454
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Out-of-distribution generalisation for learning quantum channels with low-energy coherent states
Pereira, Jason L.
Zhuang, Quntao
Banchi, Leonardo
Quantum Physics
Mathematical Physics
When experimentally learning the action of a continuous variable quantum process by probing it with inputs, there will often be some restriction on the input states used. One experimentally simple way to probe a quantum channel is using low energy coherent states. Learning a quantum channel in this way presents difficulties, due to the fact that two channels may act similarly on low energy inputs but very differently for high energy inputs. They may also act similarly on coherent state inputs but differently on non-classical inputs. Extrapolating the behaviour of a channel for more general input states from its action on the far more limited set of low energy coherent states is a case of out-of-distribution generalisation. To be sure that such generalisation gives meaningful results, one needs to relate error bounds for the training set to bounds that are valid for all inputs. We show that for any pair of channels that act sufficiently similarly on low energy coherent state inputs, one can bound how different the input-output relations are for any (high energy or highly non-classical) input. This proves out-of-distribution generalisation is always possible for learning quantum channels using low energy coherent states, as long as enough samples are used.
title Out-of-distribution generalisation for learning quantum channels with low-energy coherent states
topic Quantum Physics
Mathematical Physics
url https://arxiv.org/abs/2502.04454