From the 2 of 13 papers with an AI index.
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- Kavli Institute for the Physics and Mathematics of the UniverseJP3 papers
- Kyoto UniversityJP3 papers
- The University of TokyoJP3 papers
- University of British ColumbiaCA2 papers
- Asia Pacific Center for Theoretical PhysicsKR1 paper
- Beijing Computational Science Research CenterCN1 paper
- BMW Group (Germany)DE1 paper
- Chiba UniversityJP1 paper
- Delta Institute for Theoretical PhysicsNL1 paper
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ1 paper
- Gold Skin Care CenterUS1 paper
- Indira Gandhi Mirpur UniversityIN1 paper
5 papers · 1 filter
Controller-decoder system requirements derived by implementing Shor's algorithm with surface code
Yaniv Kurman, Lior Ella, Nir Halay +2
The paper identifies system-level requirements for a controller-decoder architecture needed to run a non‑Clifford Shor’s algorithm circuit using the surface code, showing that tens…
Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation
Jonas Jäger, Florian J. Kiwit, Carlos A. RiofrÃo
Quantum generative modeling is a rapidly evolving discipline at the intersection of quantum computing and machine learning. Contemporary quantum machine learning is generally limit…
Quantum feature-map learning with reduced resource overhead
Jonas Jäger, Philipp Elsässer, Elham Torabian
Current quantum computers require algorithms that use limited resources economically. In quantum machine learning, success hinges on quantum feature-maps, which embed classical dat…
Macroscopic Particle Transport in Dissipative Long-Range Bosonic Systems
Hongchao Li, Cheng Shang, Tomotaka Kuwahara +1
Dissipation in quantum many-body systems provides a more general and experimentally realistic perspective on particle transport than closed quantum systems. In this work, we determ…
Asymptotic quantification of entanglement with a single copy
Ludovico Lami, Mario Berta, Bartosz Regula
Despite the central importance of quantum entanglement in quantum technologies, the understanding of the optimal ways to exploit it is still beyond our reach, and even measuring en…