Paper Citation Record · LEDGER

Tensor-network decoders for process tensor descriptions of non-Markovian noise

As of 11 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2412.13739.

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

pith.paper-citation-record.v1
2412.13739 v1

Coverage vector

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation ccb4ed57-12cf-4ae5-80b3-2dd2af60f2cc · outbound

This paper cites Experimental demonstration of continuous quantum error correction.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Experimental demonstration of continuous quantum error correction

Reference 1

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This paper cites Real-time quantum error correction beyond break-even.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Real-time quantum error correction beyond break-even

Reference 2

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This paper cites Realizing Repeated Quantum Error Correction in a Distance-Three Surface Code.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Realizing Repeated Quantum Error Correction in a Distance-Three Surface Code

Reference 3

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This paper cites Suppressing quantum errors by scaling a surface code logical qubit.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Suppressing quantum errors by scaling a surface code logical qubit

Reference 4

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This paper cites Quantum error correction below the surface code threshold.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Quantum error correction below the surface code threshold

Reference 5

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Unresolved cited work

Reference 6

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Observation 549695dd-6542-4370-a56e-88b1a2c86720 · outbound

This paper cites Probing context-dependent errors in quantum processors.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Probing context-dependent errors in quantum processors

Reference 7

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Observation 7547328e-dbc2-4761-b459-b7d880d6b27c · outbound

This paper cites Demonstration of non-Markovian process characterisation and control on a quantum processor.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Demonstration of non-Markovian process characterisation and control on a quantum processor

Reference 8

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This paper cites Detecting crosstalk errors in quantum information processors.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Detecting crosstalk errors in quantum information processors

Reference 9

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This paper cites What can unitary sequences tell us about multi-time physics?.

Tensor-network decoders for process tensor descriptions of non-Markovian noise What can unitary sequences tell us about multi-time physics?

Reference 10

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This paper cites Crosstalk Suppression for Fault-tolerant Quantum Error Correction with Trapped Ions.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Crosstalk Suppression for Fault-tolerant Quantum Error Correction with Trapped Ions

Reference 11

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Observation a76a0fae-96f0-487d-9255-8bb3ba47dde3 · outbound

This paper cites Non-Markovian Quantum Process Tomography.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Non-Markovian Quantum Process Tomography

Reference 12

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Observation ce35cc05-c578-422a-afe3-4420e62a65a6 · outbound

This paper cites A taxonomy of small Markovian errors.

Tensor-network decoders for process tensor descriptions of non-Markovian noise A taxonomy of small Markovian errors

Reference 13

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Observation fc7ca4d2-6bac-4fe5-995f-b954002a7bcb · outbound

This paper cites Filtering crosstalk from bath non-Markovianity via spacetime classical shadows.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Filtering crosstalk from bath non-Markovianity via spacetime classical shadows

Reference 14

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Observation ebacbbea-c1f0-497e-a91d-4a18003a450e · outbound

This paper cites Learning correlated noise in a 39-qubit quantum processor.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Learning correlated noise in a 39-qubit quantum processor

Reference 15

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Observation c18e9033-d039-44db-975c-f397781f3a2c · outbound

This paper cites Unifying non-Markovian characterisation with an efficient and self-consistent framework.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Unifying non-Markovian characterisation with an efficient and self-consistent framework

Reference 16

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Observation 164eca61-07a2-414c-8b63-d8a7b9e35bde · outbound

This paper cites Operational Markov condition for quantum processes.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Operational Markov condition for quantum processes

Reference 17

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Observation b54afae1-0251-4c43-aff8-585633971a5f · outbound

This paper cites Non-Markovian quantum processes: complete framework and efficient characterisation.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Non-Markovian quantum processes: complete framework and efficient characterisation

Reference 18

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Observation 26d5bc18-fe0c-4a82-9073-2b9f96a13268 · outbound

This paper cites Kolmogorov extension theorem for (quantum) causal modelling and general probabilistic theories.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Kolmogorov extension theorem for (quantum) causal modelling and general probabilistic theories

Reference 19

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Observation e7152d2d-33cb-4c8f-b79a-e57b09b97f15 · outbound

This paper cites Strategic Code: A Unified Spatio-Temporal Framework for Quantum Error-Correction.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Strategic Code: A Unified Spatio-Temporal Framework for Quantum Error-Correction

Reference 21

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This paper cites Perfect Quantum Error Correction Code.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Perfect Quantum Error Correction Code

Reference 22

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This paper cites Multiple Particle Interference and Quantum Error Correction.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Multiple Particle Interference and Quantum Error Correction

Reference 23

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This paper cites Matrix Product State Representations.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Matrix Product State Representations

Reference 24

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This paper cites The density-matrix renormalization group in the age of matrix product states.

Tensor-network decoders for process tensor descriptions of non-Markovian noise The density-matrix renormalization group in the age of matrix product states

Reference 25

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Vectorization of quantum operations and its use

Reference 26

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Unresolved cited work

Reference 27

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This paper cites Quantum stochastic processes and quantum non-Markovian phenomena.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Quantum stochastic processes and quantum non-Markovian phenomena

Reference 28

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Observation 1618a4c8-6962-459b-a714-1f8b9ee535a2 · outbound

This paper cites Decoherence by Correlated Noise and Quantum Error Correction.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Decoherence by Correlated Noise and Quantum Error Correction

Reference 29

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This paper cites Surface Code Threshold in the Presence of Correlated Errors.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Surface Code Threshold in the Presence of Correlated Errors

Reference 30

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Observation d17825a8-9933-4a6b-992e-dffc6758eb69 · outbound

This paper cites Quantifying the effects of local many-qubit errors and non-local two-qubit errors on the surface code.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Quantifying the effects of local many-qubit errors and non-local two-qubit errors on the surface code

Reference 31

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Observation 7e9a4de4-1bb2-4b3b-a10c-3b35718e47c9 · outbound

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Statistical mechanical models for quantum codes with correlated noise

Reference 32

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Detrimental non-Markovian errors for surface code memory

Reference 33

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Stabilizer Codes and Quantum Error Correction

Reference 34

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Unresolved cited work

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Tensor Networks and Quantum Error Correction

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This paper cites Efficient Algorithms for Maximum Likelihood Decoding in the Surface Code.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Efficient Algorithms for Maximum Likelihood Decoding in the Surface Code

Reference 37

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Tensor-network decoders for process tensor descriptions of non-Markovian noise General tensor network decoding of 2D Pauli codes

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Hardness of decoding quantum stabilizer codes

Reference 39

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Tensor-network codes

Reference 40

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Local tensor-network codes

Reference 41

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Theoretical framework for quantum networks

Reference 42

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Tensor-Network Simulations of the Surface Code under Realistic Noise

Reference 43

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Decoding general error correcting codes and the role of complementarity

Reference 44

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Unresolved cited work

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This paper cites Hyper-optimized tensor network contraction.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Hyper-optimized tensor network contraction

Reference 46

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Efficient non-Markovian quantum dynamics using time-evolving matrix product operators

Reference 47

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This paper cites Exploiting the causal tensor network structure of quantum processes to efficiently simulate non-Markovian path integrals.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Exploiting the causal tensor network structure of quantum processes to efficiently simulate non-Markovian path integrals

Reference 48

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This paper cites MPSDynamics.jl: Tensor network simulations for finite-temperature (non-Markovian) open quantum system dynamics.

Tensor-network decoders for process tensor descriptions of non-Markovian noise MPSDynamics.jl: Tensor network simulations for finite-temperature (non-Markovian) open quantum system dynamics

Reference 49

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Tensor-network decoders for process tensor descriptions of non-Markovian noise ACE: A general-purpose non-Markovian open quantum systems simulation toolkit based on process tensors

Reference 50

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Tensor-network decoders for process tensor descriptions of non-Markovian noise OQuPy: A Python package to efficiently simulate non-Markovian open quantum systems with process tensors

Reference 51

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Topological quantum memory

Reference 52

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Hyper-optimized approximate contraction of tensor networks with arbitrary geometry

Reference 53

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Unresolved cited work

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Tensor-network decoders for process tensor descriptions of non-Markovian noise Gauging tensor networks with belief propagation

Reference 55

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This paper cites Quantum Lego: Building Quantum Error Correction Codes from Tensor Networks.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Quantum Lego: Building Quantum Error Correction Codes from Tensor Networks

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:57:46.103093Z

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Observation c672a96f-ca21-4e97-aa25-6af7b9bcfdc4 · outbound

This paper cites Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning

Reference 57

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Observation 6eb2d1ba-fc1a-4724-9e1f-c5f6b5e1aed7 · outbound

This paper cites Optimization of Tensor Network Codes with Reinforcement Learning.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Optimization of Tensor Network Codes with Reinforcement Learning

Reference 58

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Pith citing papers

Observation fe23938f-8c10-421c-836d-58d0eb580d50 · inbound

Markovian Embeddings of Non-Markovian Open System Dynamics cites this paper.

Markovian Embeddings of Non-Markovian Open System Dynamics Tensor-network decoders for process tensor descriptions of non-Markovian noise

Reference 10

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Quantum Circuit Fragments and Link Products in Continuous Variables cites this paper.

Quantum Circuit Fragments and Link Products in Continuous Variables Tensor-network decoders for process tensor descriptions of non-Markovian noise

Reference 25

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