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19992026
most citedA Comprehensive Survey on Graph Neural Networks

10.1k citations

Showing 2020 · quant-phShow all

20 papers · 2 filters

quant-ph2020★ 5 cited

VSQL: Variational Shadow Quantum Learning for Classification

Guangxi Li, Zhixin Song, Xin Wang

Classification of quantum data is essential for quantum machine learning and near-term quantum technologies. In this paper, we propose a new hybrid quantum-classical framework for…

quant-ph2020★ 44 cited

Fermion Sampling: a robust quantum computational advantage scheme using fermionic linear optics and magic input states

Michał Oszmaniec, Ninnat Dangniam, Mauro E. S. Morales +1

Fermionic Linear Optics (FLO) is a restricted model of quantum computation which in its original form is known to be efficiently classically simulable. We show that, when initializ…

quant-ph2020★ 129 cited

Femtosecond Laser Writing of Spin Defects in Hexagonal Boron Nitride

Xingyu Gao, Siddhant Pandey, Mehran Kianinia +5

Optically active spin defects in wide-bandgap materials have many potential applications in quantum information and quantum sensing. Spin defects in two-dimensional layered van der…

quant-ph2020

Quantum complexity of minimum cut

Simon Apers, Troy Lee

The minimum cut problem in an undirected and weighted graph is to find the minimum total weight of a set of edges whose removal disconnects . We completely characterize the…

quant-ph2020★ 2 cited

Symbolic Verification of Quantum Circuits

Mingsheng Ying, Zhengfeng Ji

This short note proposes a symbolic approach for representing and reasoning about quantum circuits using complex, vector or matrix-valued Boolean expressions. A major benefit of th…

quant-ph2020★ 193 cited

Quantum circuit architecture search for variational quantum algorithms

Yuxuan Du, Tao Huang, Shan You +2

Variational quantum algorithms (VQAs) are expected to be a path to quantum advantages on noisy intermediate-scale quantum devices. However, both empirical and theoretical results e…

quant-ph2020★ 81 cited

Robust and Efficient High-dimensional Quantum State Tomography

Markus Rambach, Mahdi Qaryan, Michael Kewming +3

The exponential growth in Hilbert space with increasing size of a quantum system means that accurately characterising the system becomes significantly harder with system dimension…

quant-ph2020★ 12 cited

Quantum soundness of the classical low individual degree test

Zhengfeng Ji, Anand Natarajan, Thomas Vidick +2

Low degree tests play an important role in classical complexity theory, serving as basic ingredients in foundational results such as [BFL91] and the…

quant-ph2020★ 119 cited

Tutorial: Gate-based superconducting quantum computing

Sangil Kwon, Akiyoshi Tomonaga, Gopika Lakshmi Bhai +2

In this tutorial, we introduce basic conceptual elements to understand and build a gate-based superconducting quantum computing system.

quant-ph2020★ 7 cited

An HHL-Based Algorithm for Computing Hitting Probabilities of Quantum Random Walks

Ji Guan, Qisheng Wang, Mingsheng Ying

We present a novel application of the HHL (Harrow-Hassidim-Lloyd) algorithm -- a quantum algorithm solving systems of linear equations -- in solving an open problem about quantum r…

quant-ph2020★ 3 cited

Quantum Circuit Transformation: A Monte Carlo Tree Search Framework

Xiangzhen Zhou, Yuan Feng, Sanjiang Li

In Noisy Intermediate-Scale Quantum (NISQ) era, quantum processing units (QPUs) suffer from, among others, highly limited connectivity between physical qubits. To make a quantum ci…

quant-ph2020★ 40 cited

Robustness Verification of Quantum Classifiers

Ji Guan, Wang Fang, Mingsheng Ying

Several important models of machine learning algorithms have been successfully generalized to the quantum world, with potential speedup to training classical classifiers and applic…

quant-ph2020★ 21 cited

Quantum Geometric Machine Learning for Quantum Circuits and Control

Elija Perrier, Christopher Ferrie, Dacheng Tao

The application of machine learning techniques to solve problems in quantum control together with established geometric methods for solving optimisation problems leads naturally to…

quant-ph2020★ 7 cited

One-Shot Hybrid State Redistribution

Eyuri Wakakuwa, Yoshifumi Nakata, Min-Hsiu Hsieh

We consider state redistribution of a "hybrid" information source that has both classical and quantum components. The sender transmits classical and quantum information at the same…

quant-ph2020★ 70 cited

Variational Quantum Singular Value Decomposition

Xin Wang, Zhixin Song, Youle Wang

Singular value decomposition is central to many problems in engineering and scientific fields. Several quantum algorithms have been proposed to determine the singular values and th…

quant-ph2020★ 16 cited

Variational quantum Gibbs state preparation with a truncated Taylor series

Youle Wang, Guangxi Li, Xin Wang

The preparation of quantum Gibbs state is an essential part of quantum computation and has wide-ranging applications in various areas, including quantum simulation, quantum optimiz…

quant-ph2020★ 53 cited

Qubit Mapping Based on Subgraph Isomorphism and Filtered Depth-Limited Search

Sanjiang Li, Xiangzhen Zhou, Yuan Feng

Mapping logical quantum circuits to Noisy Intermediate-Scale Quantum (NISQ) devices is a challenging problem which has attracted rapidly increasing interests from both quantum and…

quant-ph2020★ 43 cited

Beyond Quantum Noise Spectroscopy: modelling and mitigating noise with quantum feature engineering

Akram Youssry, Gerardo A. Paz-Silva, Christopher Ferrie

The ability to use quantum technology to achieve useful tasks, be they scientific or industry related, boils down to precise quantum control. In general it is difficult to assess a…

quant-ph2020★ 2 cited

Quantum -nearest neighbors algorithm

Afrad Basheer, A. Afham, Sandeep K. Goyal

One of the simplest and most effective classical machine learning algorithms is the -nearest neighbors algorithm (NN) which classifies an unknown test state by finding the $k…

quant-ph2020★ 12 cited

Acoustic diamond resonators with ultra-small mode volumes

Mikołaj K. Schmidt, Christopher G. Poulton, Michael J. Steel

Quantum acoustodynamics (QAD) is a rapidly developing field of research, offering possibilities to realize and study macroscopic quantum-mechanical systems in a new range of freque…