Paper Citation Record · LEDGER

Exploiting biased noise in variational quantum models

As of 22 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2510.24050.

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

pith.paper-citation-record.v1
2510.24050 v2

Coverage vector

measured 53 of 53 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

53 of 53 outbound references displayed

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Outbound references

Observation aa093e65-8063-4c3f-8bd3-17964e950011 · outbound

This paper cites A d×ddensity operator in ad-dimensional Hilbert space be- comes ad 2-dimensional vector in Hilbert–Schmidt space, and ˆΛ is ad 2 ×d 2 matrix acting in that space.

Exploiting biased noise in variational quantum models A d×ddensity operator in ad-dimensional Hilbert space be- comes ad 2-dimensional vector in Hilbert–Schmidt space, and ˆΛ is ad 2 ×d 2 matrix acting in that space

Reference 1

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Observation 98c32b0a-a132-43ea-afa2-de82e4406373 · outbound

This paper cites an unresolved cited work.

Exploiting biased noise in variational quantum models Unresolved cited work

Reference 2

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Observation 71ea4299-e5e9-4965-a0f6-2584746bd549 · outbound

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Exploiting biased noise in variational quantum models Unresolved cited work

Reference 3

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Exploiting biased noise in variational quantum models Unresolved cited work

Reference 4

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Observation 9ff69cc5-18c3-4f72-9238-eb16dd290878 · outbound

This paper cites an unresolved cited work.

Exploiting biased noise in variational quantum models Unresolved cited work

Reference 5

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Observation f4cde5d3-7eb7-4a20-8986-d965b9c7da6a · outbound

This paper cites Data Reuploading Model Configuration In all data reuploading circuit simulations in the main text, circuits are initialised on the ground state,|0⟩, and measured in theZbasis.

Exploiting biased noise in variational quantum models Data Reuploading Model Configuration In all data reuploading circuit simulations in the main text, circuits are initialised on the ground state,|0⟩, and measured in theZbasis

Reference 6

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Observation 8954c30c-8d16-427e-8107-9b0227f6a393 · outbound

This paper cites Specifically, we compare Pauli-twirled amplitude damping with Clifford- twirled amplitude damping, using the same experimental setup described in Fig.

Exploiting biased noise in variational quantum models Specifically, we compare Pauli-twirled amplitude damping with Clifford- twirled amplitude damping, using the same experimental setup described in Fig

Reference 7

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Observation eb529737-6a6a-46bf-9153-50b037422839 · outbound

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Exploiting biased noise in variational quantum models Unresolved cited work

Reference 8

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Observation efef5e77-864f-412c-9e64-362d40528f2b · outbound

This paper cites Specifically, rather than relaxing from the excited state|1⟩to the ground state 15 (a) (b) FIG.

Exploiting biased noise in variational quantum models Specifically, rather than relaxing from the excited state|1⟩to the ground state 15 (a) (b) FIG

Reference 9

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Observation 0ae5764b-5e1b-481d-b21a-5c0aacc41cf0 · outbound

This paper cites Quantum Computing in the NISQ era and beyond.

Exploiting biased noise in variational quantum models Quantum Computing in the NISQ era and beyond

Reference 10

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Observation c5ab1d02-3d6a-4beb-bdf7-3165542c9133 · outbound

This paper cites Variational Quantum Algorithms.

Exploiting biased noise in variational quantum models Variational Quantum Algorithms

Reference 11

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Observation 0f813a96-6fc3-4749-abd8-a812db19ccf0 · outbound

This paper cites The Variational Quantum Eigensolver: a review of methods and best practices.

Exploiting biased noise in variational quantum models The Variational Quantum Eigensolver: a review of methods and best practices

Reference 12

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Observation 72d8bd7d-9833-418b-974b-7d0b7a5b7e1a · outbound

This paper cites Quantum Approximate Optimization of Non-Planar Graph Problems on a Planar Superconducting Processor.

Exploiting biased noise in variational quantum models Quantum Approximate Optimization of Non-Planar Graph Problems on a Planar Superconducting Processor

Reference 13

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Observation 2f4088f9-5e9b-4638-9220-689ae151447e · outbound

This paper cites A case study of variational quantum algorithms for a job shop scheduling problem.

Exploiting biased noise in variational quantum models A case study of variational quantum algorithms for a job shop scheduling problem

Reference 14

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Observation 7d07ff54-af1c-4302-9deb-866c8990abf3 · outbound

This paper cites Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets.

Exploiting biased noise in variational quantum models Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets

Reference 16

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Observation 18309d09-f50d-4937-8d67-26aa0ceb35ac · outbound

This paper cites Self-Verifying Variational Quantum Simulation of the Lattice Schwinger Model.

Exploiting biased noise in variational quantum models Self-Verifying Variational Quantum Simulation of the Lattice Schwinger Model

Reference 17

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Observation c85e56b1-f351-4f76-b8e4-f81655c28019 · outbound

This paper cites Hartree-Fock on a superconducting qubit quantum computer.

Exploiting biased noise in variational quantum models Hartree-Fock on a superconducting qubit quantum computer

Reference 18

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Observation 1b679f7e-c476-4203-9cc0-4e907ed58c5d · outbound

This paper cites Variational Quantum Computation of Molecular Linear Response Properties on a Superconducting Quantum Processor.

Exploiting biased noise in variational quantum models Variational Quantum Computation of Molecular Linear Response Properties on a Superconducting Quantum Processor

Reference 19

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Observation 574bacb3-0f2b-4d1b-99ba-95bb3af8aca1 · outbound

This paper cites Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers.

Exploiting biased noise in variational quantum models Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers

Reference 20

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Observation f20ca25e-9f6f-4dc5-83a5-d59d1c90e0c2 · outbound

This paper cites Ground State Energy Estimation on Current Quantum Hardware Through The Variational Quantum Eigensolver: A Comprehensive Study.

Exploiting biased noise in variational quantum models Ground State Energy Estimation on Current Quantum Hardware Through The Variational Quantum Eigensolver: A Comprehensive Study

Reference 21

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Observation 4bb63ba4-8691-4fe8-b070-acfff6f98fef · outbound

This paper cites Multi-Level Variational Spectroscopy using a Programmable Quantum Simulator.

Exploiting biased noise in variational quantum models Multi-Level Variational Spectroscopy using a Programmable Quantum Simulator

Reference 22

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Observation 1630044b-3605-4e48-b228-0732caba6e72 · outbound

This paper cites Supervised learning with quantum enhanced feature spaces.

Exploiting biased noise in variational quantum models Supervised learning with quantum enhanced feature spaces

Reference 23

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Observation 755bc853-2f16-4637-9ab8-f44a0e3ea9f4 · outbound

This paper cites Evaluating the noise resilience of variational quantum algorithms.

Exploiting biased noise in variational quantum models Evaluating the noise resilience of variational quantum algorithms

Reference 24

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Observation 8302ed4c-b2cd-4387-bcb0-95257017c1d8 · outbound

This paper cites Beyond unital noise in variational quantum algorithms: noise-induced barren plateaus and limit sets.

Exploiting biased noise in variational quantum models Beyond unital noise in variational quantum algorithms: noise-induced barren plateaus and limit sets

Reference 25

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Exploiting biased noise in variational quantum models Unresolved cited work

Reference 26

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Observation cb4048ec-fe82-47e9-9d17-416aabfcbf42 · outbound

This paper cites A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits.

Exploiting biased noise in variational quantum models A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits

Reference 27

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Exploiting biased noise in variational quantum models Unresolved cited work

Reference 28

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Observation ccc8ab80-c07d-4cf6-976d-96bafa625e9e · outbound

This paper cites A Unified Theory of Quantum Neural Network Loss Landscapes.

Exploiting biased noise in variational quantum models A Unified Theory of Quantum Neural Network Loss Landscapes

Reference 29

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Exploiting biased noise in variational quantum models Unresolved cited work

Reference 30

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Observation 5055377f-73be-4e33-bd62-e8c8f7bcbc82 · outbound

This paper cites Hardware-efficient ansatz without barren plateaus in any depth.

Exploiting biased noise in variational quantum models Hardware-efficient ansatz without barren plateaus in any depth

Reference 31

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Observation 3fa356ec-0cc1-4841-bce3-0e5ec74d0869 · outbound

This paper cites Machine learning of noise-resilient quantum circuits.

Exploiting biased noise in variational quantum models Machine learning of noise-resilient quantum circuits

Reference 32

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Observation 9fc1093a-8d61-4eef-821d-6f33da8bd538 · outbound

This paper cites Quantum circuit architecture search for variational quantum algorithms.

Exploiting biased noise in variational quantum models Quantum circuit architecture search for variational quantum algorithms

Reference 33

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This paper cites Error mitigation for short-depth quantum circuits.

Exploiting biased noise in variational quantum models Error mitigation for short-depth quantum circuits

Reference 34

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This paper cites Probabilistic error cancellation with sparse Pauli-Lindblad models on noisy quantum processors.

Exploiting biased noise in variational quantum models Probabilistic error cancellation with sparse Pauli-Lindblad models on noisy quantum processors

Reference 35

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This paper cites Probabilistic error cancellation for dynamic quantum circuits.

Exploiting biased noise in variational quantum models Probabilistic error cancellation for dynamic quantum circuits

Reference 36

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Exploiting biased noise in variational quantum models Characterizing noisy quantum computation with imperfectly addressed errors

Reference 37

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Exploiting biased noise in variational quantum models Bounding the systematic error in quantum error mitigation due to model violation

Reference 38

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This paper cites Exponentially tighter bounds on limitations of quantum error mitigation.

Exploiting biased noise in variational quantum models Exponentially tighter bounds on limitations of quantum error mitigation

Reference 39

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This paper cites Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor.

Exploiting biased noise in variational quantum models Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor

Reference 40

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Exploiting biased noise in variational quantum models Layden, B

Reference 41

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Exploiting biased noise in variational quantum models D¨ ur, M

Reference 42

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Observation 7ed2f52c-9ddf-4a24-903f-ad86e3b6f794 · outbound

This paper cites Scalable Noise Estimation with Random Unitary Operators.

Exploiting biased noise in variational quantum models Scalable Noise Estimation with Random Unitary Operators

Reference 43

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Exploiting biased noise in variational quantum models Exact and Approximate Unitary 2-Designs: Constructions and Applications

Reference 44

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This paper cites The effect of data encoding on the expressive power of variational quantum machine learning models.

Exploiting biased noise in variational quantum models The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 45

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Exploiting biased noise in variational quantum models Unresolved cited work

Reference 46

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Exploiting biased noise in variational quantum models Unresolved cited work

Reference 47

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Observation 77a3a089-9683-4cf2-8b2c-246cae53aece · outbound

This paper cites Connecting ansatz expressibility to gradient magnitudes and barren plateaus.

Exploiting biased noise in variational quantum models Connecting ansatz expressibility to gradient magnitudes and barren plateaus

Reference 48

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This paper cites Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?.

Exploiting biased noise in variational quantum models Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?

Reference 49

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Exploiting biased noise in variational quantum models Okumura and M

Reference 50

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This paper cites A variational eigenvalue solver on a quantum processor.

Exploiting biased noise in variational quantum models A variational eigenvalue solver on a quantum processor

Reference 51

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Exploiting biased noise in variational quantum models Noise-induced shallow circuits and absence of barren plateaus

Reference 52

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This paper cites Fault-tolerant quantum computation against biased noise.

Exploiting biased noise in variational quantum models Fault-tolerant quantum computation against biased noise

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T07:56:15.795651Z

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This paper cites Fault-tolerant thresholds for the surface code in excess of 5% under biased noise.

Exploiting biased noise in variational quantum models Fault-tolerant thresholds for the surface code in excess of 5% under biased noise

Reference 54

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