Emil E. B. Østergaard
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Emil E. B. Østergaard has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- Axel B. Bregnsbo
Center for Macroscopic Quantum States (bigQ), Department of Physics, Technical University of Denmark, Fysikvej, Kongens Lyngby, Denmark
1 shared publication - Changhun Oh
Korea Advanced Institute of Science and Technology
1 shared publication - Hsin-Yuan Huang
California Institute of Technology
1 shared publication - Jens Arnbak Holbøll Nielsen
Technical University of Denmark
1 shared publication - John Preskill
California Institute of Technology
1 shared publication - Jonas Schou Neergaard-Nielsen
Center for Macroscopic Quantum States (bigQ), Department of Physics, Technical University of Denmark, Fysikvej, 2800 Kongens Lyngby, Denmark
1 shared publication
Latest Publications
- 25 September 2025
- Published by American Association for the Advancement of Science (AAAS) in Science
- Vol. 389 (6767) , 1332-1335
Quantum learning advantage on a scalable photonic platform
Recent advances in quantum technologies have demonstrated that quantum systems can outperform classical ones in specific tasks, a concept known as quantum advantage. Although previous efforts have focused on computational speedups, a definitive and provable quantum advantage that is unattainable by any classical system has remained elusive. In this work, we demonstrate a provable photonic quantum advantage by implementing a quantum-enhanced protocol for learning a high-dimensional physical process. Using imperfect Einstein–Podolsky–Rosen entanglement, we achieve a sample complexity reduction of 11.8 orders of magnitude compared to classical methods without entanglement. These results show that large-scale, provable quantum advantage is achievable with current photonic technology and represent a key step toward practical quantum-enhanced learning protocols in quantum metrology and machine learning.
- 25 September 2025
- Published by American Association for the Advancement of Science (AAAS) in Science
- Vol. 389 (6767) , 1332-1335
Quantum learning advantage on a scalable photonic platform
Recent advances in quantum technologies have demonstrated that quantum systems can outperform classical ones in specific tasks, a concept known as quantum advantage. Although previous efforts have focused on computational speedups, a definitive and provable quantum advantage that is unattainable by any classical system has remained elusive. In this work, we demonstrate a provable photonic quantum advantage by implementing a quantum-enhanced protocol for learning a high-dimensional physical process. Using imperfect Einstein–Podolsky–Rosen entanglement, we achieve a sample complexity reduction of 11.8 orders of magnitude compared to classical methods without entanglement. These results show that large-scale, provable quantum advantage is achievable with current photonic technology and represent a key step toward practical quantum-enhanced learning protocols in quantum metrology and machine learning.