5 papers
Quantum Amplitude-Amplification Eigensolver: A State-Learning-Assisted Approach beyond Energy-Gradient-Based Heuristics
Kyunghyun Baek, Seungjin Lee, Joonsuk Huh +4
Ground-state estimation lies at the heart of a broad range of quantum simulations. Most near-term approaches are cast as variational energy minimization and thus inherit the challe…
Photonic implementation of quantum hidden subgroup database compression
Qianyi Wang, Feiyang Liu, Teng Hu +6
We experimentally demonstrate quantum data compression exploiting hidden subgroup symmetries using a photonic quantum processor. Classical databases containing generalized periodic…
A One-sided Witness for the Quantumness of Gravitational Dynamics
Konstantin Beyer, M. S. Kim, Igor Pikovski
Quantum information concepts and quantum technologies have opened the prospect to probe quantum gravity in table-top experiments. Many proposals rely on witnessing entanglement gen…
Assessing Quantum Advantage for Gaussian Process Regression
Dominic Lowe, M. S. Kim, Roberto Bondesan
Gaussian Process Regression is a well-known machine learning technique for which several quantum algorithms have been proposed. We show here that in a wide range of scenarios these…
Two measurement bases are asymptotically informationally complete for any pure state tomography
Tianfeng Feng, Tianqi Xiao, Yu Wang +6
One of the fundamental questions in quantum information theory is to find how many measurement bases are required to obtain the full information of a quantum state. While a minimum…