Paper Citation Record · LEDGER

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems

As of 14 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2601.01252.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2601.01252 v3

Coverage vector

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One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

47 of 47 outbound references displayed

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External citation measurements

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Outbound references

Observation e2eeb03a-867a-4b37-a6ef-a7b52b3e8af5 · outbound

This paper cites an unresolved cited work.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Unresolved cited work

Reference 1

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Unresolved cited work

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Unresolved cited work

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Unresolved cited work

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems mountain

Reference 8

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This paper cites Breuer and F.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Breuer and F

Reference 9

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This paper cites Rivas and S.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Rivas and S

Reference 10

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This paper cites Measure for the degree of non-Markovian behavior of quantum processes in open systems,.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Measure for the degree of non-Markovian behavior of quantum processes in open systems,

Reference 11

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Observation 01563e37-5c95-478e-959a-d417a666cc8b · outbound

This paper cites Quan- tum non-Markovianity: Characterization, quantification and detection,.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Quan- tum non-Markovianity: Characterization, quantification and detection,

Reference 12

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Observation 76a2c70c-304f-4ee4-9cb1-ea9d7fa450c9 · outbound

This paper cites Quantum speed limit of Jaynes-Cummings model with detuning for arbitrary initial states,.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Quantum speed limit of Jaynes-Cummings model with detuning for arbitrary initial states,

Reference 13

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Observation ff9e33f8-648c-42ae-930b-d494d42592e9 · outbound

This paper cites De- gree of non-Markovianity of quantum evolu- 9 tion,.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems De- gree of non-Markovianity of quantum evolu- 9 tion,

Reference 14

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Observation 0a92bcb9-3e04-4c2a-ac14-2d7ab0c7fa00 · outbound

This paper cites Quantifying non-Markovianity via local quantum Fisher information,.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Quantifying non-Markovianity via local quantum Fisher information,

Reference 15

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Non-Markovianity and reservoir memory of quan- tum channels,

Reference 16

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Dynamics of non-Markovian open quantum systems,

Reference 17

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Observation 843bf6ea-9a50-4212-88ef-ae2e870e2016 · outbound

This paper cites Non-Markovian dynamics, dense coding capacity, and non-locality in coupled two-qubit systems interacting with bosonic thermal environments,.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Non-Markovian dynamics, dense coding capacity, and non-locality in coupled two-qubit systems interacting with bosonic thermal environments,

Reference 18

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Observation 4b2144e9-fc1c-4fcc-a6be-f7709257d014 · outbound

This paper cites Ex- tracting quantum dynamical resources: consumption of non-Markovianity for noise reduction,.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Ex- tracting quantum dynamical resources: consumption of non-Markovianity for noise reduction,

Reference 19

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Observation cf65f4cb-d917-4958-be23-61eed9fd02c3 · outbound

This paper cites Control-enhanced non- Markovian quantum metrology,.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Control-enhanced non- Markovian quantum metrology,

Reference 20

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This paper cites Impact of non-Markovianity on quantum precision and synchronization in open quantum systems,.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Impact of non-Markovianity on quantum precision and synchronization in open quantum systems,

Reference 21

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This paper cites Trajectory Tracking of Stochas- tic Open Quantum Systems Based on Online Estimated State Feedback Control,.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Trajectory Tracking of Stochas- tic Open Quantum Systems Based on Online Estimated State Feedback Control,

Reference 22

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This paper cites Opti- mal control theory for a unitary operation under dis- sipative evolution,.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Opti- mal control theory for a unitary operation under dis- sipative evolution,

Reference 23

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Source-reported events for the cited work

correction dated 2021-04-01. Source: crossref record 10.1088/1367-2630/abe970->10.1088/1367-2630/16/5/055012:correction, observed 2026-07-11T02:58:45.115202+00:00. This notice travels one citation hop only.

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This paper cites Training Schr¨ odinger’s cat: Quantum op- timal control: Strategic report on current status, visions and goals for research in Europe,.

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Training Schr¨ odinger’s cat: Quantum op- timal control: Strategic report on current status, visions and goals for research in Europe,

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Quan- tum optimal control in quantum technologies: Strate- gic report on current status, visions and goals for re- search in Europe,

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Non-Markovian reinforcement learn- ing using fractional dynamics,

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Machine Learning Non-Markovian Quantum Dynamics,

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Observation cb2a81f4-c803-49be-aabd-9c00bd5558e8 · outbound

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Memory ef- fect and non-Markovian dynamics in an open quan- tum system,

Reference 28

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Quan- tification of memory effects in topological two-band open quantum systems,

Reference 29

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems An introduction to deep rein- forcement learning,

Reference 31

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Reinforcement learning in different phases of quantum control,

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Mul- tipartite Entangled States in Dipolar Quantum Sim- ulators,

Reference 33

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Sample-efficient model-based reinforcement learning for quantum control,

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Model-free quantum control with reinforcement learning,

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Deep reinforcement learning for quantum gate control,

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Physics-informed reinforcement learning for optimal control of nonlinear systems,

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Comparing quantum hy- brid reinforcement learning to classical methods,

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Non-Markovian Quantum Control via Model Maximum Likelihood Estimation and Reinforcement Learning

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Re-exploring control strategies in a non-Markovian open quantum system by reinforce- ment learning,

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems From non-Markovian dissipation to spatiotemporal control of quantum nanodevices,

Reference 41

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems A non-Markovianity measure based on quantum speed limit,

Reference 42

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Soft actor-critic: Off-policy maximum entropy deep reinforce- ment learning with a stochastic actor,

Reference 43

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Reinforcement learning with neural networks 10 for quantum feedback,

Reference 44

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Universal quantum control through deep reinforce- ment learning,

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Robust quantum control using reinforcement learning from demonstration,

Reference 46

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Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems Quantum optimal control via semi-automatic differenti- ation,

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Pith citing papers

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