Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment | Paper Citation Record

Observation a4fb4fd1-facd-4bb2-9b98-9959ed85a7c8 · outbound

This paper cites Quantum Computation and Quantum Information: 10th Anniversary Edition.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Quantum Computation and Quantum Information: 10th Anniversary Edition

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:37.938295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b629092-57eb-422b-851b-aba1baa96372 · outbound

This paper cites Quantum state prepa- ration with optimal circuit depth: Implementations and applications.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Quantum state prepa- ration with optimal circuit depth: Implementations and applications

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:37.942118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f66578-7db8-41d5-a3de-3f195eeadaa5 · outbound

This paper cites Quantum computation: Algorithms and applications.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Quantum computation: Algorithms and applications

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:37.945618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43832c0d-19ee-4a84-8e13-c56a0462200d · outbound

This paper cites Quantum communications, volume 2.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Quantum communications, volume 2

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:37.948629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12eb151a-b1ef-4d00-9b52-ff9434b5d0a3 · outbound

This paper cites High-dimensional quantum communication: benefits, progress, and future challenges.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment High-dimensional quantum communication: benefits, progress, and future challenges

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:37.952099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0f634cd-8766-4210-8b7f-8e314a3d4dba · outbound

This paper cites Perfect function transfer and interference effects in interacting boson lattices.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Perfect function transfer and interference effects in interacting boson lattices

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:37.955517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47b29823-5331-4177-a890-318f4efffba3 · outbound

This paper cites Sarandy, and Lian-Ao Wu.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Sarandy, and Lian-Ao Wu

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:37.959236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52daf9d6-7e86-44b3-9254-4b00f62b63b9 · outbound

This paper cites When does reinforcement learning stand out in quantum con- trol? a comparative study on state preparation.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment When does reinforcement learning stand out in quantum con- trol? a comparative study on state preparation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:39.109640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e463ea8e-cf29-4784-a1c4-34977f25ccef · outbound

This paper cites Deep reinforcement learning for universal quan- tum state preparation via dynamic pulse control.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Deep reinforcement learning for universal quan- tum state preparation via dynamic pulse control

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:39.099958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c382904-6f07-4563-900e-948a462f4ff7 · outbound

This paper cites Quantum circuits for amplification of kerr nonlinearity via quadrature squeezing.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Quantum circuits for amplification of kerr nonlinearity via quadrature squeezing

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:39.089225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aeb0b15d-6cb6-49c0-9874-b4d52ec052a5 · outbound

This paper cites van de Kamp, Ryan J.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment van de Kamp, Ryan J

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:39.078462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 993f24ca-072c-47ca-92c2-f9d78b728e16 · outbound

This paper cites Materials challenges and oppor- tunities for quantum computing hardware.Science, 372(6539):eabb2823, 2021.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Materials challenges and oppor- tunities for quantum computing hardware.Science, 372(6539):eabb2823, 2021

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:39.068707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 08a58475-6fe7-46a6-a525-55cb4331be5d · outbound

This paper cites Almost-exact state transfer by leakage-elimination- operator control in a non-markovian environment.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Almost-exact state transfer by leakage-elimination- operator control in a non-markovian environment

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:39.056692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 248b6ccb-6a89-43fb-a6e5-c30cc47c3c7a · outbound

This paper cites Brun, R¨ udiger Schack, and Timothy P.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Brun, R¨ udiger Schack, and Timothy P

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:39.046653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0efc887-a998-40cc-8b38-b642f97fe07a · outbound

This paper cites an unresolved cited work.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:52:39.037113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3c29d7a-0d4e-49b6-915e-01083724f586 · outbound

This paper cites Paladino, Y.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Paladino, Y

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:39.026388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ec2a837-8d17-441a-8323-03c0f0e0aa4b · outbound

This paper cites Quantum correlations dynamics and deco- herence of a three-qubit system subject to classical environmental noise.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Quantum correlations dynamics and deco- herence of a three-qubit system subject to classical environmental noise

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:39.016129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c75f54ab-35a3-4b17-9e4b-d98d38e64c3e · outbound

This paper cites Smolin and David P.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Smolin and David P

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:39.005037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25151198-5aea-4d00-8eb2-124e892e0770 · outbound

This paper cites DiVincenzo.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment DiVincenzo

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.995242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 43ea14ab-a4c4-48ef-9ef8-cfd45a139566 · outbound

This paper cites Booth, and Jonathan Tennyson.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Booth, and Jonathan Tennyson

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.984186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bbee1ef8-a71e-4174-9c66-c449b4d22eff · outbound

This paper cites Quantum error correction: an introductory guide.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Quantum error correction: an introductory guide

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.962360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09cb60c5-3c0b-4335-bd5c-45b3680aa0d0 · outbound

This paper cites Theory of quantum error- correcting codes.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Theory of quantum error- correcting codes

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.951793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6201a59b-8e2c-4b8d-8ba9-d031ef5f1122 · outbound

This paper cites Perfect quantum error correcting code.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Perfect quantum error correcting code

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.940843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ecd1eb99-d665-4d55-a6dd-cf5d77bb4614 · outbound

This paper cites an unresolved cited work.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:52:38.930061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6140da36-1332-4b83-9f10-6d4f162bdf70 · outbound

This paper cites Khodjasteh and D.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Khodjasteh and D

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.919036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d563ec7-89d4-4382-b9a8-ba23434714b9 · outbound

This paper cites Nonperturbative dynamical decoupling with random control.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Nonperturbative dynamical decoupling with random control

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.908754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5b6c551-ff46-42b0-9b5e-cf705d2b7522 · outbound

This paper cites Protectability of ibmq qubits by dynamical decoupling technique.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Protectability of ibmq qubits by dynamical decoupling technique

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.899058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fffa14b1-a437-4115-b703-0b4714940bfd · outbound

This paper cites Neural-network- designed pulse sequences for robust control of singlet-triplet qubits.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Neural-network- designed pulse sequences for robust control of singlet-triplet qubits

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.889039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1ae32d5-3af8-4dad-befd-b0b6db9125ee · outbound

This paper cites Composite pulses for robust universal control of singlet– triplet qubits.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Composite pulses for robust universal control of singlet– triplet qubits

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.878213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 144db3e9-a63a-4abc-a36c-45c05c045a6f · outbound

This paper cites Lidar, and Lorenza Viola.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Lidar, and Lorenza Viola

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.867902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b9035a8-2eb0-4c93-8001-42f2e06745b5 · outbound

This paper cites Automated syn- thesis of dynamically corrected quantum gates.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Automated syn- thesis of dynamically corrected quantum gates

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.857940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90f14cab-0ef5-4e4f-b41b-4953df55b631 · outbound

This paper cites an unresolved cited work.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:52:38.846706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d740af7e-5665-4fdc-9f11-413a9f9c01a9 · outbound

This paper cites an unresolved cited work.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:52:38.836474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f80ec031-87a5-4876-85d1-aae14d642918 · outbound

This paper cites Fowler, Matteo Mariantoni, John M.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Fowler, Matteo Mariantoni, John M

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.825282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a35a996b-ae1f-47a2-a59c-24d1c9234ddc · outbound

This paper cites Non- perturbative dynamical decoupling control: A spin-chain model.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Non- perturbative dynamical decoupling control: A spin-chain model

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.814867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e95a06ed-eb2a-40d4-a63e-52448f5ba3e1 · outbound

This paper cites an unresolved cited work.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:52:38.803719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0592a24-4884-4770-8e5c-a7f19898aa0f · outbound

This paper cites DiVincenzo, and Hendrik Bluhm.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment DiVincenzo, and Hendrik Bluhm

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.793827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f446b7f9-db50-4d70-9885-01910ec284f2 · outbound

This paper cites Control of quan- tum phenomena: past, present and future.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Control of quan- tum phenomena: past, present and future

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.783095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31d8b5c0-fd88-44a4-bc0f-df04cf2dabb9 · outbound

This paper cites Universal quantum control through deep reinforcement learning.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Universal quantum control through deep reinforcement learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.772871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09ece8e3-664a-4a86-9d6b-29973282ce95 · outbound

This paper cites Vamvoudakis, and Jayadev Vijayan.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Vamvoudakis, and Jayadev Vijayan

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.761182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c9081ccf-73fd-4da8-86a8-71014cd57530 · outbound

This paper cites an unresolved cited work.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:52:38.750996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f2b0e7db-b7c2-4da2-9224-53ab6b5b28e0 · outbound

This paper cites Gonz´ alez, and Ra´ ul Coto.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Gonz´ alez, and Ra´ ul Coto

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.739266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8501f69f-1de1-443b-ba6c-333cc3e0f861 · outbound

This paper cites Robust control of uncertain quan- tum systems based on physics-informed neural networks and sampling learning.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Robust control of uncertain quan- tum systems based on physics-informed neural networks and sampling learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.728775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c84ac770-d048-49e4-af0a-96e61752eef5 · outbound

This paper cites Learning robust and high-precision quantum controls.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Learning robust and high-precision quantum controls

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.717787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae8bb18e-f1ed-42b9-8b47-c9ce2b279656 · outbound

This paper cites Yi, and Franco Nori.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Yi, and Franco Nori

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.705749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e962403c-e405-4d15-930d-85378fe57fd5 · outbound

This paper cites Adaptive denoising quantum state preparation in a dynamic environment.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Adaptive denoising quantum state preparation in a dynamic environment

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.694164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 149d7192-1386-4db4-879c-67edd3b018ab · outbound

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

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Realizing a deep reinforcement learn- ing agent for real-time quantum feedback

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.683395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb2682e5-e647-44ac-bfd6-2ee59e4a40c1 · outbound

This paper cites an unresolved cited work.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:52:38.672837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9668e9a0-8cfb-48e3-842c-31293724bbfa · outbound

This paper cites Studying light-harvesting models with superconducting circuits.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Studying light-harvesting models with superconducting circuits

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.662414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 50fe9eab-e735-4067-9d24-2dec04bc2b12 · outbound

This paper cites Strong coupling of a single electron in silicon to a microwave photon.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Strong coupling of a single electron in silicon to a microwave photon

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.651123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d8666266-f8dd-49da-a7b2-899840c48f17 · outbound

This paper cites Observation of non-markovian micromechanical brownian motion.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Observation of non-markovian micromechanical brownian motion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.639808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6a9597fb-3e5d-4300-b339-f86fc7a3084c · outbound

This paper cites an unresolved cited work.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:52:38.629173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation beee68b2-0158-4826-9b2a-9ed61969cc7e · outbound

This paper cites Quantum state transmission through a spin chain in finite- temperature heat baths.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Quantum state transmission through a spin chain in finite- temperature heat baths

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.618223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c494dbc-e74a-4fd4-aeb9-feda1437768d · outbound

This paper cites From coherent motion to localization: Ii.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment From coherent motion to localization: Ii

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.608307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2cc3703b-2376-478e-9477-5c45f5d2ea10 · outbound

This paper cites Analytic representations of bath correlation functions for ohmic and superohmic spectral densities using simple poles.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Analytic representations of bath correlation functions for ohmic and superohmic spectral densities using simple poles

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.597187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1bb336b3-da2e-4189-b560-a46abc3ed856 · outbound

This paper cites Non-markovian evolution of the density operator in the presence of strong laser fields.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Non-markovian evolution of the density operator in the presence of strong laser fields

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.585602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aeaed286-9657-47e9-9199-832146c2092d · outbound

This paper cites Coherent manipulation of coupled electron spins in semiconductor quantum dots.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Coherent manipulation of coupled electron spins in semiconductor quantum dots

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.575430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 548c6c8d-e645-40bd-893f-004574d7cbad · outbound

This paper cites Notch filtering the nuclear environment of a spin qubit.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Notch filtering the nuclear environment of a spin qubit

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.562928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9716c028-d7f2-49d3-b83b-ced53b0519e6 · outbound

This paper cites Brunner, Y.-S.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Brunner, Y.-S

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.551923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 545913b0-77a2-4067-8a6c-b548396d1a8b · outbound

This paper cites Enhancing the coherence of a spin qubit by operating it as a feedback loop that controls its nuclear spin bath.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Enhancing the coherence of a spin qubit by operating it as a feedback loop that controls its nuclear spin bath

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.540430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fc43adb7-eee2-4c12-99d6-3550637780ec · outbound

This paper cites Semiconductor quantum computation.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Semiconductor quantum computation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.530024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d49631f8-cf30-4a30-bd06-eb17393d00a1 · outbound

This paper cites Tunable phonon-induced steady-state coherence in a double-quantum-dot charge qubit.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Tunable phonon-induced steady-state coherence in a double-quantum-dot charge qubit

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.517607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9576490-7fbb-4179-80da-3e77dd964002 · outbound

This paper cites Understanding machine learning: From theory to algorithms.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Understanding machine learning: From theory to algorithms

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:38.162651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b62e4831-c22b-44f1-9457-fbd5b46fedaf · outbound

This paper cites Reinforcement learning: An introduction.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Reinforcement learning: An introduction

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:38.166158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d003d17e-e2e0-4bd0-b4d1-172c70245a99 · outbound

This paper cites Q-learning.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Q-learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.492483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a6a4c73-1a96-4220-abb7-d8cc3dd3689b · outbound

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

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Human-level control through deep reinforcement learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.480527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a96eb8b-7566-4fe7-ae00-48ffc0223f37 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Playing Atari with Deep Reinforcement Learning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:38.175914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6dad0c8-4f23-4183-ae2c-2a52f7646a0c · outbound

This paper cites Super- vised learning.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Super- vised learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.470031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0c3e8d16-343b-47ea-bc24-c77ef7d42afc · outbound

This paper cites A review of supervised machine learning algorithms.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment A review of supervised machine learning algorithms

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.459116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ac272762-0cf8-44e8-a001-eadf702d7365 · outbound

This paper cites Gradus, and Anthony J.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Gradus, and Anthony J

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.447204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 74f399dd-12b2-4321-b907-2d8503a9987d · outbound

This paper cites Neural networks and deep learning , volume 25.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Neural networks and deep learning , volume 25

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.436260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 182c99f5-ab58-4fcb-8632-00d666e20329 · outbound

This paper cites Introduction to algorithms.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Introduction to algorithms

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:38.192712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c576a6f-a75c-4fd0-b298-d673b317285d · outbound

This paper cites Chapter 6 - basics of decision-making in de- sign and management of biomass-based production chains.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Chapter 6 - basics of decision-making in de- sign and management of biomass-based production chains

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.419121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26638cf3-fcba-477a-84de-5f03348a57dc · outbound

This paper cites Solving the local- minimum problem in training deep learning machines.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Solving the local- minimum problem in training deep learning machines

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.407762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f73d10c-07c7-49de-bf14-ba4ce4947f2e · outbound

This paper cites On the omnipresence of spu- rious local minima in certain neural network training problems.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment On the omnipresence of spu- rious local minima in certain neural network training problems

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.396198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6bf7281e-b000-4279-b1a2-d0b256617631 · outbound

This paper cites Enhanced quan- tum state preparation via stochastic predictions of neural networks.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Enhanced quan- tum state preparation via stochastic predictions of neural networks

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.385408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15a6079c-19ab-4777-89d2-cd4fa78ecf7f · outbound

This paper cites Negative log likelihood ratio loss for deep neural network classification.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Negative log likelihood ratio loss for deep neural network classification

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.375185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72523f59-d0b2-4edb-a711-5503ed3c046a · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Pytorch: An imperative style, high-performance deep learning library

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.364950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation be4ff02b-eb7c-4f68-b6bf-cc2eff75b4e6 · outbound

This paper cites Strunz, Lajos Di´ osi, Nicolas Gisin, and Ting Yu.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Strunz, Lajos Di´ osi, Nicolas Gisin, and Ting Yu

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.355205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de9a724e-b3ce-4ff2-86e0-9b8744347049 · outbound

This paper cites Non-markovian quantum trajectories versus master equations: Finite-temperature heat bath.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Non-markovian quantum trajectories versus master equations: Finite-temperature heat bath

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.343954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 02130daa-c2b6-4c05-a3c2-7457d07850c3 · outbound

This paper cites Dynamics of non-markovian open quantum systems.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Dynamics of non-markovian open quantum systems

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.332865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a853a4e1-0b8d-4dcd-924e-5c1f324c93d6 · outbound

This paper cites Di´ osi, N.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Di´ osi, N

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.321571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68a7dbe5-4692-42e8-bced-ee90aafb4b33 · outbound

This paper cites Clark, Maksims Volkovs, and Leandro Aolita.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Clark, Maksims Volkovs, and Leandro Aolita

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.310809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f84fa323-21a7-4f89-9244-165fa3a09e8c · outbound

This paper cites Time-dependent variational principle for open quantum systems with artificial neural networks.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Time-dependent variational principle for open quantum systems with artificial neural networks

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.299916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a01bb754-b846-4683-84a2-8c7a3c4addc3 · outbound

This paper cites Reconstructing quantum states with generative models.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Reconstructing quantum states with generative models

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:52:38.289226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3816f40e-779f-4389-ba56-fedb7bdae674 · outbound

This paper cites an unresolved cited work.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:52:38.277008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0253f45a-7e41-4978-bc63-0466f0591cac · outbound

This paper cites an unresolved cited work.

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:52:38.974026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers