Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning | Paper Citation Record

Observation 1bd1218c-deb1-49d0-9066-bffdb2a36cb1 · outbound

This paper cites Sutton and Andrew G.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Sutton and Andrew G

Reference 1

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Observation a9be09bc-2079-4ae0-bad4-2b63ae1d1c03 · outbound

This paper cites Human-level control through deep reinforcement learning.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Human-level control through deep reinforcement learning

Reference 2

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Observation 151bfbb4-04e4-42da-89f3-626e5daa8baf · outbound

This paper cites Continuous control with deep reinforcement learning, September 15 2020.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Continuous control with deep reinforcement learning, September 15 2020

Reference 3

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This paper cites Experimental deep reinforcement learning for error-robust gate-set design on a superconducting quantum computer.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Experimental deep reinforcement learning for error-robust gate-set design on a superconducting quantum computer

Reference 4

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This paper cites Deep reinforcement learning quantum control on ibmq platforms and qiskit pulse.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Deep reinforcement learning quantum control on ibmq platforms and qiskit pulse

Reference 5

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This paper cites Realizing a deep reinforcement learning agent for real-time quantum feedback.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Realizing a deep reinforcement learning agent for real-time quantum feedback

Reference 6

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Observation 74b5e6ce-f7fd-4cb8-9332-4f0a49d97f28 · outbound

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Quantum feedback control with a transformer neural network architecture

Reference 7

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Observation e65c602f-24f7-4b91-84c6-42cf853bbb79 · outbound

This paper cites Deep reinforcement learning for efficient measurement of quantum devices.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Deep reinforcement learning for efficient measurement of quantum devices

Reference 8

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Observation 3a99b18e-266d-48c8-8361-f9784fbee60f · outbound

This paper cites Artificial intelligence for quantum computing.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Artificial intelligence for quantum computing

Reference 9

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Observation 7137f5a3-e9fd-4c7e-abfc-5d409fc47332 · outbound

This paper cites QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding

Reference 10

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Observation 581dfc40-3769-41ef-a1a2-0e0498191d3f · outbound

This paper cites Machine learning as an enabler of qubit scalability.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Machine learning as an enabler of qubit scalability

Reference 11

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Observation 8b36378a-c8a6-4f81-aad6-8697e635c341 · outbound

This paper cites Data needs and challenges for quantum dot devices automation.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Data needs and challenges for quantum dot devices automation

Reference 12

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Observation 2d133019-9ea1-4e41-9f6c-b9ce76e04b5c · outbound

This paper cites Environment model construction toward auto-tuning of quantum dot devices based on model-based reinforcement learning.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Environment model construction toward auto-tuning of quantum dot devices based on model-based reinforcement learning

Reference 13

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Observation b3acc95b-df24-47e2-8988-1ac83eacbde4 · outbound

This paper cites Metasym: A symplectic meta-learning framework for physical intelligence.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Metasym: A symplectic meta-learning framework for physical intelligence

Reference 14

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Observation 61ee42ce-705b-4be6-b367-fea8e1351215 · outbound

This paper cites Meta-learning characteristics and dynamics of quantum systems.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Meta-learning characteristics and dynamics of quantum systems

Reference 15

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Observation 5bfc2509-ea0e-446f-8856-516be4aff3f4 · outbound

This paper cites Reinforcement learning for quantum technology.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Reinforcement learning for quantum technology

Reference 16

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Observation c2767651-6694-48ca-b1ae-3a68cd2998a3 · outbound

This paper cites Semiconductor qubits in practice.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Semiconductor qubits in practice

Reference 17

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Observation 2468619b-9ac2-4945-ab6d-c0eb94358691 · outbound

This paper cites Spin-qubit control with a milli-kelvin cmos chip.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Spin-qubit control with a milli-kelvin cmos chip

Reference 18

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Observation 41882c9b-7a3d-4270-9574-8f72be96f717 · outbound

This paper cites Industry-compatible silicon spin-qubit unit cells exceeding 99% fidelity.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Industry-compatible silicon spin-qubit unit cells exceeding 99% fidelity

Reference 19

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Observation 755e4a31-72dd-48b2-908a-e07bd9906429 · outbound

This paper cites Simultaneous operation of an 18-qubit modular array in germanium.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Simultaneous operation of an 18-qubit modular array in germanium

Reference 20

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Observation d1ec93f1-d623-4f79-b03d-366041ea9f29 · outbound

This paper cites Shared control of a 16 semiconductor quantum dot crossbar array.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Shared control of a 16 semiconductor quantum dot crossbar array

Reference 21

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Observation b36fe8b4-f77d-42a0-bf41-4b2ac2c61d43 · outbound

This paper cites Fully autonomous tuning of a spin qubit.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Fully autonomous tuning of a spin qubit

Reference 22

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Observation fbea905d-a3a2-4ba6-910a-2e53893f3eb0 · outbound

This paper cites Machine learning enables completely automatic tuning of a quantum device faster than human experts.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Machine learning enables completely automatic tuning of a quantum device faster than human experts

Reference 23

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Observation e4093dbf-9116-4174-87b1-0ef77973f45c · outbound

This paper cites Autotuning of double-dot devices in situ with machine learning.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Autotuning of double-dot devices in situ with machine learning

Reference 24

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Observation 3dbb4844-336c-4632-9ee5-609513e79b4f · outbound

This paper cites Rapid Autotuning of a SiGe Quantum Dot into the Single-Electron Regime with Machine Learning and RF-Reflectometry FPGA-Based Measurements.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Rapid Autotuning of a SiGe Quantum Dot into the Single-Electron Regime with Machine Learning and RF-Reflectometry FPGA-Based Measurements

Reference 25

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Observation f78466a5-36f1-4c43-8728-bd18991858bc · outbound

This paper cites Automated All-RF Tuning for Spin Qubit Readout and Control.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Automated All-RF Tuning for Spin Qubit Readout and Control

Reference 26

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Observation ebe9f24c-2eb5-4c11-9cfe-af939060ad45 · outbound

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Cooperative multi-agent control using deep reinforcement learning

Reference 27

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Observation 9fb1c3ec-8c61-4346-b2de-89498fbbc436 · outbound

This paper cites Computer-automated tuning of semiconductor double quantum dots into the single-electron regime.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Computer-automated tuning of semiconductor double quantum dots into the single-electron regime

Reference 28

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This paper cites Experimental online quantum dots charge autotuning using neural networks.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Experimental online quantum dots charge autotuning using neural networks

Reference 29

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Observation b03d3c77-d162-4342-9b14-2cb5a9bba1a4 · outbound

This paper cites Machine learning techniques for state recognition and auto-tuning in quantum dots.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Machine learning techniques for state recognition and auto-tuning in quantum dots

Reference 30

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Observation d4d86b8b-362e-4653-bd3f-ee516bce0c87 · outbound

This paper cites Tuning arrays with rays: Physics-informed tuning of quantum dot charge states.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Tuning arrays with rays: Physics-informed tuning of quantum dot charge states

Reference 31

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Observation 5eff1e41-4a95-40d6-b7d6-292472c79c7e · outbound

This paper cites All-rf-based coarse-tuning algorithm for quantum devices using machine learning.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning All-rf-based coarse-tuning algorithm for quantum devices using machine learning

Reference 32

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Observation 99b5cc7c-e79e-47bb-9761-d9d719274dc6 · outbound

This paper cites Automated tuning of double quantum dots into specific charge states using neural networks.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Automated tuning of double quantum dots into specific charge states using neural networks

Reference 33

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Minia- turizing neural networks for charge state autotuning in quantum dots

Reference 34

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Observation 9304ecd0-b3bc-4bf6-8c01-fd92ce40a0d2 · outbound

This paper cites Quantum device fine-tuning using unsupervised embedding learning.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Quantum device fine-tuning using unsupervised embedding learning

Reference 35

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This paper cites Cross-architecture tuning of silicon and sige-based quantum devices using machine learning.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Cross-architecture tuning of silicon and sige-based quantum devices using machine learning

Reference 36

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This paper cites Loading a quantum-dot based “qubyte” register.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Loading a quantum-dot based “qubyte” register

Reference 37

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This paper cites Cnn-assisted automatic cross-capacitance matrix update for virtual-gate control of quantum dot arrays.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Cnn-assisted automatic cross-capacitance matrix update for virtual-gate control of quantum dot arrays

Reference 38

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Observation 41b42b82-76a4-40ce-9947-f2598eada88b · outbound

This paper cites Modular autonomous virtualization system for two-dimensional semiconductor quantum dot arrays.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Modular autonomous virtualization system for two-dimensional semiconductor quantum dot arrays

Reference 39

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This paper cites Automatic detection of single-electron regime of quantum dots and definition of virtual gates using u-net and clustering.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Automatic detection of single-electron regime of quantum dots and definition of virtual gates using u-net and clustering

Reference 40

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Observation 4b11772f-936e-4d52-a92f-c54cf1128f61 · outbound

This paper cites Automated charge transition detection in quantum dot charge stability diagrams.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Automated charge transition detection in quantum dot charge stability diagrams

Reference 41

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Observation 3b3cc618-77fb-4e91-a78c-7e860382c94e · outbound

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning End-to-End Analysis of Charge Stability Diagrams with Transformers

Reference 42

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Automatic virtual voltage extraction of a 2x2 array of quantum dots with machine learning

Reference 43

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This paper cites A review of cooperative multi-agent deep reinforcement learning.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning A review of cooperative multi-agent deep reinforcement learning

Reference 44

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Multi-agent reinforcement learning: Independent vs

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Value-Decomposition Networks For Cooperative Multi-Agent Learning

Reference 46

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Monotonic value function factorisation for deep multi-agent reinforcement learning

Reference 47

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning

Reference 48

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning FACMAC: Factored Multi-Agent Centralised Policy Gradients

Reference 49

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Coun- terfactual multi-agent policy gradients

Reference 50

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Multi-agent actor-critic for mixed cooperative-competitive environments

Reference 51

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Facmac: Factored multi-agent centralised policy gradients

Reference 52

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Learning multiagent communication with backpropagation

Reference 53

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Graph policy gradients for large scale robot control

Reference 54

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Scalable multi-agent reinforcement learning through intelligent information aggregation

Reference 55

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations

Reference 56

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This paper cites Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus

Reference 57

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This paper cites Multi- agent reinforcement learning is a sequence modeling problem.Advances in Neural Information Processing Systems, 35:16509–16521, 2022.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Multi- agent reinforcement learning is a sequence modeling problem.Advances in Neural Information Processing Systems, 35:16509–16521, 2022

Reference 58

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Observation 32c25a18-5a2c-4f2f-82c8-8ecae50b2478 · outbound

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Hierarchical consensus-based multi-agent reinforcement learning for multi-robot cooperation tasks

Reference 59

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Observation 7597a568-6322-4be0-8abb-2d2bb0de3b8e · outbound

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Scaling multi-agent reinforcement learning with selective parameter sharing

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This paper cites Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

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This paper cites The sur- prising effectiveness of ppo in cooperative multi-agent games.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning The sur- prising effectiveness of ppo in cooperative multi-agent games

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This paper cites Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

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This paper cites Heterogeneous- agent reinforcement learning.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Heterogeneous- agent reinforcement learning

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This paper cites Hypermarl: Adaptive hypernetworks for multi-agent rl.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Hypermarl: Adaptive hypernetworks for multi-agent rl

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This paper cites Qarray: A gpu-accelerated constant capacitance model simulator for large quantum dot arrays.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Qarray: A gpu-accelerated constant capacitance model simulator for large quantum dot arrays

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Codebase release 1.3 for qarray

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This paper cites The complexity of de- centralized control of markov decision processes.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning The complexity of de- centralized control of markov decision processes

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This paper cites Learning to utilize shaping rewards: A new approach of reward shaping.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Learning to utilize shaping rewards: A new approach of reward shaping

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This paper cites Bayesian filtering: From kalman filters to particle filters, and beyond.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Bayesian filtering: From kalman filters to particle filters, and beyond

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This paper cites Nonlinear bayesian estimation: From kalman filtering to a broader horizon.IEEE/CAA Journal of Automatica Sinica, 5(2):401– 417, 2018.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Nonlinear bayesian estimation: From kalman filtering to a broader horizon.IEEE/CAA Journal of Automatica Sinica, 5(2):401– 417, 2018

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Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Actor-critic algorithms

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This paper cites Scaling Laws for a Multi-Agent Reinforcement Learning Model.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Scaling Laws for a Multi-Agent Reinforcement Learning Model

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This paper cites Proximal Policy Optimization Algorithms.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Proximal Policy Optimization Algorithms

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This paper cites Survey on applications of multi-armed and contextual bandits.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Survey on applications of multi-armed and contextual bandits

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This paper cites Experience-driven networking: A deep reinforcement learning based approach.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Experience-driven networking: A deep reinforcement learning based approach

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This paper cites A simplex method for function minimization.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning A simplex method for function minimization

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This paper cites Gaussian Processes for Machine Learning.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Gaussian Processes for Machine Learning

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This paper cites Taking the human out of the loop: A review of bayesian optimization.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Taking the human out of the loop: A review of bayesian optimization

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This paper cites Updating quasi-newton matrices with limited storage.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Updating quasi-newton matrices with limited storage

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This paper cites Mastering diverse domains through world models, 2024.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Mastering diverse domains through world models, 2024

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This paper cites Deep residual learning for image recognition.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Deep residual learning for image recognition

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This paper cites Long short-term memory.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Long short-term memory

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This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Attention is all you need.Advances in neural information processing systems, 30, 2017

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This paper cites Kaleidoscope: Learnable masks for heterogeneous multi-agent reinforcement learning.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Kaleidoscope: Learnable masks for heterogeneous multi-agent reinforcement learning

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This paper cites Quantum manipulation of two-electron spin states in isolated double quantum dots.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Quantum manipulation of two-electron spin states in isolated double quantum dots

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This paper cites Concentration inequalities and model selection: Ecole d’Eté de Probabilités de Saint-Flour XXXIII-2003.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Concentration inequalities and model selection: Ecole d’Eté de Probabilités de Saint-Flour XXXIII-2003

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This paper cites Mitigating crosstalk errors for simultaneous single-qubit gates on a superconducting quantum processor.arXiv preprint arXiv:2603.11018, 2026.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Mitigating crosstalk errors for simultaneous single-qubit gates on a superconducting quantum processor.arXiv preprint arXiv:2603.11018, 2026

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This paper cites Practical guide for building supercon- ducting quantum devices.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Practical guide for building supercon- ducting quantum devices

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This paper cites Entanglement and quantum error correction with superconducting qubits.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Entanglement and quantum error correction with superconducting qubits

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This paper cites Charge-insensitive qubit design derived from the cooper pair box.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Charge-insensitive qubit design derived from the cooper pair box

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This paper cites world model.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning world model

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