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ORCIDQSW 2024: Shenzhen, China
- Rong N. Chang, Carl K. Chang, Jingwei Yang, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Ismael Faro, Frank Leymann, Johanna Barzen, Salvador de la Puente, Sebastian Feld, Manuel Wimmer, Nimanthi Atukorala, Hongyue Wu, David Elkouss, Jose Garcia-Alonso, Aritra Sarkar:
IEEE International Conference on Quantum Software, QSW 2024, Shenzhen, China, July 7-13, 2024. IEEE 2024, ISBN 979-8-3503-6847-5 - Robert Wille, Lucas Berent, Tobias Forster, Jagatheesan Kunasaikaran, Kevin Mato, Tom Peham, Nils Quetschlich, Damian Rovara, Aaron Sander, Ludwig Schmid, Daniel Schönberger, Yannick Stade, Lukas Burgholzer:
The MQT Handbook : A Summary of Design Automation Tools and Software for Quantum Computing. 1-8 - Juan M. Murillo:
Composable Quantum Oracles for Shifting Quantum Circuits Abstraction Level. 9-11 - Shota Nagayama, Toshihiko Sasaki, Akihito Soeda:
Backcasting Perspectives on Services of Future Quantum Internet. 12-18 - Jianjun Zhao:
Towards An Architecture Description Language for Hybrid Quantum-Classical Systems. 19-23 - Simone Reale, Elisabetta Di Nitto:
Quantum Graph Pursuit: Analysis of the Advantages and Challenges of a Quantum Dynamic Combinatorial Optimization Model from a Software Developer Perspective. 24-34 - Lukas Schmidbauer, Karen Wintersperger, Elisabeth Lobe, Wolfgang Mauerer:
Polynomial Reduction Methods and their Impact on QAOA Circuits. 35-45 - Deborah Volpe, Nils Quetschlich, Mariagrazia Graziano, Giovanna Turvani, Robert Wille:
Towards an Automatic Framework for Solving Optimization Problems with Quantum Computers. 46-57 - Andrew Wright, Marco Lewis, Paolo Zuliani, Sadegh Soudjani:
T-Count Optimizing Genetic Algorithm for Quantum State Preparation. 58-68 - Xiaoyu Guo, Takahiro Muta, Jianjun Zhao:
Quantum Circuit Ansatz: Patterns of Abstraction and Reuse of Quantum Algorithm Design. 69-80 - Manuel Schnaus, Lilly Palackal, Benedikt Poggel, Xiomara Runge, Hans Ehm, Jeanette Miriam Lorenz, Christian B. Mendl:
Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms. 81-87 - Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien:
Quantum Denoising Diffusion Models. 88-98 - Jonas Klamroth, Bernhard Beckert:
Bounding Rounding Errors in the Simulation of Quantum Circuits. 99-106 - Yusuke Kimura, Shaowen Li, Hiroyuki Sato, Masahiro Fujita:
Accelerating Decision Diagram-based Multi-node Quantum Simulation with Ring Communication and Automatic SWAP Insertion. 107-115 - Koen J. Mesman, Francesco Battistel, Edgar Reehuis, Damaz de Jong, Marijn J. Tiggelman, Jordy Gloudemans, Jules C. van Oven, Cornelis Christiaan Bultink:
Q-Profile: Profiling Tool for Quantum Control Stacks applied to the Quantum Approximate Optimization Algorithm. 116-124 - Marco Lewis, Paolo Zuliani, Sadegh Soudjani:
Automated Verification of Silq Quantum Programs using SMT Solvers. 125-134 - Nils Quetschlich, Florian J. Kiwit, Maximilian A. Wolf, Carlos A. Riofrío, Lukas Burgholzer, Andre Luckow, Robert Wille:
Towards Application-Aware Quantum Circuit Compilation. 135-142 - Stephen DiAdamo, Francesco Vista:
A Web-based Software Development Kit for Quantum Network Simulation. 143-145 - Gonçalo Pascoal, João Paulo Fernandes, Rui Abreu:
Deep Reinforcement Learning Strategies for Noise-Adaptive Qubit Routing. 146-156 - Michael Kölle, Timo Witter, Tobias Rohe, Gerhard Stenzel, Philipp Altmann, Thomas Gabor:
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning. 157-167 - Aaron Sander, Ioan-Albert Florea, Lukas Burgholzer, Robert Wille:
Stripping Quantum Decision Diagrams of their Identity. 168-174 - Walid El Maouaki, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique:
AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks. 175-181
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last updated on 2024-09-14 23:55 CEST by the dblp team
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