Related references
Note: Only part of the references are listed.Classical algorithms for quantum mean values
Sergey Bravyi et al.
NATURE PHYSICS (2021)
Power of data in quantum machine learning
Hsin-Yuan Huang et al.
NATURE COMMUNICATIONS (2021)
Cost function dependent barren plateaus in shallow parametrized quantum circuits
M. Cerezo et al.
NATURE COMMUNICATIONS (2021)
The power of quantum neural networks
Amira Abbas et al.
NATURE COMPUTATIONAL SCIENCE (2021)
Beyond the Swap Test: Optimal Estimation of Quantum State Overlap
M. Fanizza et al.
PHYSICAL REVIEW LETTERS (2020)
Training deep quantum neural networks
Kerstin Beer et al.
NATURE COMMUNICATIONS (2020)
Quantum classifier with tailored quantum kernel
Carsten Blank et al.
NPJ QUANTUM INFORMATION (2020)
Experimental kernel-based quantum machine learning in finite feature space
Karol Bartkiewicz et al.
SCIENTIFIC REPORTS (2020)
Quantum computational advantage using photons
Han-Sen Zhong et al.
SCIENCE (2020)
From estimation of quantum probabilities to simulation of quantum circuits
Hakop Pashayan et al.
QUANTUM (2020)
Measuring the similarity of graphs with a Gaussian boson sampler
Maria Schuld et al.
PHYSICAL REVIEW A (2020)
Supervised learning with quantum-enhanced feature spaces
Vojtech Havlicek et al.
NATURE (2019)
Quantum Machine Learning in Feature Hilbert Spaces
Maria Schuld et al.
PHYSICAL REVIEW LETTERS (2019)
Quantum supremacy using a programmable superconducting processor
Frank Arute et al.
NATURE (2019)
Quantum Generative Adversarial Networks for learning and loading random distributions
Christa Zoufal et al.
NPJ QUANTUM INFORMATION (2019)
Continuous-variable quantum neural networks
Nathan Killoran et al.
PHYSICAL REVIEW RESEARCH (2019)
Simulating boson sampling in lossy architectures
Raul Garcia-Patron et al.
QUANTUM (2019)
Machine learning method for state preparation and gate synthesis on photonic quantum computers
Juan Miguel Arrazola et al.
QUANTUM SCIENCE AND TECHNOLOGY (2019)
Quantum machine learning: a classical perspective
Carlo Ciliberto et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2018)
v Machine learning & artificial intelligence in the quantum domain: a review of recent progress
Vedran Dunjko et al.
REPORTS ON PROGRESS IN PHYSICS (2018)
Barren plateaus in quantum neural network training landscapes
Jarrod R. McClean et al.
NATURE COMMUNICATIONS (2018)
Quantum simulation of partially distinguishable boson sampling
Alexandra E. Moylett et al.
PHYSICAL REVIEW A (2018)
Quantum Computing in the NISQ era and beyond
John Preskill
QUANTUM (2018)
Gaussian Boson Sampling
Craig S. Hamilton et al.
PHYSICAL REVIEW LETTERS (2017)
Quantum autoencoders for efficient compression of quantum data
Jonathan Romero et al.
QUANTUM SCIENCE AND TECHNOLOGY (2017)
Estimating Outcome Probabilities of Quantum Circuits Using Quasiprobabilities
Hakop Pashayan et al.
PHYSICAL REVIEW LETTERS (2015)
The quest for a Quantum Neural Network
Maria Schuld et al.
QUANTUM INFORMATION PROCESSING (2014)
Classical simulation of commuting quantum computations implies collapse of the polynomial hierarchy
Michael J. Bremner et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2011)
Integrated Quantum Photonics
Alberto Politi et al.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS (2009)
Measurement-based quantum computation
H. J. Briegel et al.
NATURE PHYSICS (2009)
Quantum Algorithm for Linear Systems of Equations
Aram W. Harrow et al.
PHYSICAL REVIEW LETTERS (2009)
Classical simulation of noninteracting-fermion quantum circuits
BM Terhal et al.
PHYSICAL REVIEW A (2002)
Quantum fingerprinting
H Buhrman et al.
PHYSICAL REVIEW LETTERS (2001)
A scheme for efficient quantum computation with linear optics
E Knill et al.
NATURE (2001)
Share Paper
