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Quetschlich, Nils
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1

MQT Predictor: Automatic Device Selection with Device-Speci..:

Quetschlich, Nils ; Burgholzer, Lukas ; Wille, Robert
ACM Transactions on Quantum Computing.  , 2024
Link: https://doi.org/10.1145/..
 
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2

Recommending Solution Paths for Solving Optimization Proble..:

, In: 2023 IEEE International Conference on Quantum Software (QSW),
Poggel, Benedikt ; Quetschlich, Nils ; Burgholzer, Lukas.. - p. 60-67 , 2023
Link: https://doi.org/10.1109/..
 
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3

MQT Bench: Benchmarking Software and Design Automation Tool..:

Quetschlich, Nils ; Burgholzer, Lukas ; Wille, Robert
Quantum.  7 (2023)  - p. 1062 , 2023
Link: https://doi.org/10.22331..
 
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4

Towards an Automated Framework for Realizing Quantum Comput..:

, In: 2023 IEEE 53rd International Symposium on Multiple-Valued Logic (ISMVL),
Quetschlich, Nils ; Burgholzer, Lukas ; Wille, Robert - p. 134-140 , 2023
Link: https://doi.org/10.1109/..
 
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5

A Hybrid Classical Quantum Computing Approach to the Satell..:

, In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE),
Quetschlich, Nils ; Koch, Vincent ; Burgholzer, Lukas. - p. 642-647 , 2023
Link: https://doi.org/10.1109/..
 
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6

Reducing the Compilation Time of Quantum Circuits Using Pre..:

, In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE),
Quetschlich, Nils ; Burgholzer, Lukas ; Wille, Robert - p. 757-767 , 2023
Link: https://doi.org/10.1109/..
 
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7

Predicting Good Quantum Circuit Compilation Options:

, In: 2023 IEEE International Conference on Quantum Software (QSW),
Quetschlich, Nils ; Burgholzer, Lukas ; Wille, Robert - p. 43-53 , 2023
Link: https://doi.org/10.1109/..
 
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8

Compiler Optimization for Quantum Computing Using Reinforce..:

, In: 2023 60th ACM/IEEE Design Automation Conference (DAC),
Quetschlich, Nils ; Burgholzer, Lukas ; Wille, Robert - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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9

Beyond SAE J3016: New Design Spaces for Human-Centered Driv..:

, In: HCI in Mobility, Transport, and Automotive Systems; Lecture Notes in Computer Science,
Steckhan, Lorenz ; Spiessl, Wolfgang ; Quetschlich, Nils. - p. 416-434 , 2022
Link: https://doi.org/10.1007/..
 
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10

A POMDP Maneuver Planner For Occlusions in Urban Scenarios:

, In: 2019 IEEE Intelligent Vehicles Symposium (IV),
Hubmann, Constantin ; Quetschlich, Nils ; Schulz, Jens... - p. 2172-2179 , 2019
Link: https://doi.org/10.1109/..
 
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11

Using πDDs for nearest neighbor optimization of quantum cir..:

, In: Reversible Computation / edited by Simon Devitt, Ivan Lanese
Wille, Robert ; Quetschlich, Nils ; Inoue, Yuma ; Yasuda, Norihito.. (2016)  - p. 181-196
Link: https://doi.org/10.1007/..
 
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12

Reducing the Compilation Time of Quantum Circuits Using Pre..:

Quetschlich, Nils ; Burgholzer, Lukas ; Wille, Robert
http://arxiv.org/abs/2305.04941.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

MQT Predictor: Automatic Device Selection with Device-Speci..:

Quetschlich, Nils ; Burgholzer, Lukas ; Wille, Robert
http://arxiv.org/abs/2310.06889.  , 2023
Link: http://arxiv.org/abs/231..
 
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14

A Hybrid Classical Quantum Computing Approach to the Satell..:

Quetschlich, Nils ; Koch, Vincent ; Burgholzer, Lukas.
http://arxiv.org/abs/2308.00029.  , 2023
Link: http://arxiv.org/abs/230..
 
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15

Compiler Optimization for Quantum Computing Using Reinforce..:

Quetschlich, Nils ; Burgholzer, Lukas ; Wille, Robert
http://arxiv.org/abs/2212.04508.  , 2022
Link: http://arxiv.org/abs/221..
 
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