Quantum Machine Learning
256 papers for year 2021
Showing 109-120 of 256
Machine learning discovery of new phases in programmable quantum simulator snapshots
Cole Miles, Rhine Samajdar, Sepehr Ebadi, Tout T. Wang, Hannes Pichler, Subir Sachdev, Mikhail D. Lukin, Markus Greiner, Kilian Q. Weinberger, Eun-Ah Kim
Machine learning for excitation energy transfer dynamics
Kimara Naicker, Ilya Sinayskiy, Francesco Petruccione
Machine learning identification of symmetrized base states of Rydberg atoms
Daryl Ryan Chong, Minhyuk Kim, Jaewook Ahn, Heejeong Jeong
Machine Learning Statistical Gravity from Multi-Region Entanglement Entropy
Jonathan Lam, Yi-Zhuang You
Manifestations of changes in entanglement and onset of synchronization in tomograms
Soumyabrata Paul, S. Lakshmibala, V. Balakrishnan, S. Ramanan
Manifold learning via quantum dynamics
Akshat Kumar, Mohan Sarovar
Many-Objective Quantum-Inspired Particle Swarm Optimization Algorithm for Placement of Virtual Machines in Smart Computing Cloud
Jerzy Balicki
Mapping Quantum Circuits to Ions in Storage Ring Quantum Computer Architectures
Thomas Robertazzi, Kevin Brown
Matrix hypercontractivity, streaming algorithms and LDCs: the large alphabet case
Srinivasan Arunachalam, Joao F. Doriguello
Max-cut Clustering Utilizing Warm-Start QAOA and IBM Runtime
Daniel Beaulieu, Anh Pham
Measurement-device-independent quantum key distribution for nonstandalone networks
Guan-Jie Fan-Yuan, Feng-Yu Lu, Shuang Wang, Zhen-Qiang Yin, De-Yong He, Zheng Zhou, Jun Teng, Wei Chen, Guang-Can Guo, Zheng-Fu Han
Measurement-induced entanglement phase transitions in variational quantum circuits
Roeland Wiersema, Cunlu Zhou, Juan Felipe Carrasquilla, Yong Baek Kim