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Quantum advantage in learning from experiments

Quantum advantage in learning from experiments

1 December 2021
Hsin-Yuan Huang
Michael Broughton
Jordan S. Cotler
Sitan Chen
Jingkai Li
Masoud Mohseni
Hartmut Neven
Ryan Babbush
R. Kueng
J. Preskill
Jarrod R. McClean
ArXiv (abs)PDFHTML

Papers citing "Quantum advantage in learning from experiments"

50 / 135 papers shown
Title
Assessing the Impact of Noise on Quantum Neural Networks: An
  Experimental Analysis
Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis
Erik Terres Escudero
Danel Arias Alamo
Oier Mentxaka Gómez
Pablo García Bringas
85
4
0
23 Nov 2023
Enigma: Privacy-Preserving Execution of QAOA on Untrusted Quantum
  Computers
Enigma: Privacy-Preserving Execution of QAOA on Untrusted Quantum Computers
Ramin Ayanzadeh
Ahmad Mousavi
Narges Alavisamani
Moinuddin K. Qureshi
60
8
0
22 Nov 2023
Quantum Inception Score
Quantum Inception Score
Akira Sone
Akira Tanji
Naoki Yamamoto
95
2
0
20 Nov 2023
sQUlearn -- A Python Library for Quantum Machine Learning
sQUlearn -- A Python Library for Quantum Machine Learning
D. Kreplin
Moritz Willmann
Jan Schnabel
Frederic Rapp
Manuel Hagelüken
M. Roth
GP
89
11
0
15 Nov 2023
Expressibility-induced Concentration of Quantum Neural Tangent Kernels
Expressibility-induced Concentration of Quantum Neural Tangent Kernels
Li-Wei Yu
Weikang Li
Qi Ye
Zhide Lu
Zizhao Han
Dong-Ling Deng
86
8
0
08 Nov 2023
Learning to Decode the Surface Code with a Recurrent, Transformer-Based
  Neural Network
Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network
Johannes Bausch
Andrew W. Senior
Francisco J. H. Heras
Thomas Edlich
Alex Davies
...
C. Gidney
Demis Hassabis
Sergio Boixo
Hartmut Neven
Pushmeet Kohli
95
49
0
09 Oct 2023
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers
Daniel Silver
Tirthak Patel
Aditya Ranjan
Harshitta Gandhi
William Cutler
Devesh Tiwari
74
5
0
26 Sep 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural
  Networks
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
Hao Zhang
Chenghong Zhu
M. Jing
Xin Wang
69
4
0
26 Sep 2023
Provable advantages of kernel-based quantum learners and quantum
  preprocessing based on Grover's algorithm
Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm
Till Muser
Elias Zapusek
Vasilis Belis
Florentin Reiter
78
7
0
25 Sep 2023
Tight bounds on Pauli channel learning without entanglement
Tight bounds on Pauli channel learning without entanglement
Senrui Chen
Changhun Oh
Sisi Zhou
Hsin-Yuan Huang
Liang Jiang
50
14
0
23 Sep 2023
Statistical Complexity of Quantum Learning
Statistical Complexity of Quantum Learning
L. Banchi
Jason Luke Pereira
Sharu Theresa Jose
Osvaldo Simeone
81
13
0
20 Sep 2023
Quantum Data Center: Perspectives
Quantum Data Center: Perspectives
Junyu Liu
Liang Jiang
45
11
0
12 Sep 2023
What can we learn from quantum convolutional neural networks?
What can we learn from quantum convolutional neural networks?
Chukwudubem Umeano
Annie E. Paine
V. Elfving
Oleksandr Kyriienko
78
14
0
31 Aug 2023
Quantum Next Generation Reservoir Computing: An Efficient Quantum
  Algorithm for Forecasting Quantum Dynamics
Quantum Next Generation Reservoir Computing: An Efficient Quantum Algorithm for Forecasting Quantum Dynamics
Apimuk Sornsaeng
Ninnat Dangniam
Thiparat Chotibut
71
9
0
28 Aug 2023
ShadowNet for Data-Centric Quantum System Learning
ShadowNet for Data-Centric Quantum System Learning
Yuxuan Du
Yibo Yang
Tongliang Liu
Zhouchen Lin
Guohao Li
Dacheng Tao
85
7
0
22 Aug 2023
Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates II: Single-Copy Measurements
Sabee Grewal
Vishnu Iyer
William Kretschmer
Daniel Liang
65
4
0
14 Aug 2023
Toward Quantum Machine Translation of Syntactically Distinct Languages
Toward Quantum Machine Translation of Syntactically Distinct Languages
M. Abbaszade
Mariam Zomorodi
V. Salari
Philip Kurian
85
3
0
31 Jul 2023
Training Quantum Boltzmann Machines with Coresets
Training Quantum Boltzmann Machines with Coresets
Joshua Viszlai
T. Tomesh
P. Gokhale
Eric R. Anschuetz
Frederic T. Chong
48
0
0
26 Jul 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of
  Supervised and Unsupervised Techniques for Real-World Applications
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications
Yaswitha Gujju
A. Matsuo
Raymond H. Putra
85
25
0
03 Jul 2023
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for
  Quantum Computers in the NISQ era
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era
Leonardo Placidi
Ryuichiro Hataya
Toshio Mori
Koki Aoyama
Hayata Morisaki
K. Mitarai
Keisuke Fujii
58
8
0
29 Jun 2023
Towards quantum enhanced adversarial robustness in machine learning
Towards quantum enhanced adversarial robustness in machine learning
Maxwell T. West
S. Tsang
J. S. Low
C. Hill
C. Leckie
Lloyd C. L. Hollenberg
S. Erfani
Muhammad Usman
AAMLOOD
79
57
0
22 Jun 2023
Universal adversarial perturbations for multiple classification tasks
  with quantum classifiers
Universal adversarial perturbations for multiple classification tasks with quantum classifiers
Yun-Zhong Qiu
AAML
87
1
0
21 Jun 2023
Pseudorandom unitaries are neither real nor sparse nor noise-robust
Pseudorandom unitaries are neither real nor sparse nor noise-robust
Tobias Haug
Kishor Bharti
D. E. Koh
108
24
0
20 Jun 2023
Pseudorandom Strings from Pseudorandom Quantum States
Pseudorandom Strings from Pseudorandom Quantum States
P. Ananth
Yao-Ting Lin
Henry Yuen
105
10
0
09 Jun 2023
Classical Verification of Quantum Learning
Classical Verification of Quantum Learning
Matthias C. Caro
M. Hinsche
M. Ioannou
A. Nietner
R. Sweke
63
6
0
08 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning
Transition Role of Entangled Data in Quantum Machine Learning
Xinbiao Wang
Yuxuan Du
Zhuozhuo Tu
Yong Luo
Xiao Yuan
Dacheng Tao
106
9
0
06 Jun 2023
On the Role of Entanglement and Statistics in Learning
On the Role of Entanglement and Statistics in Learning
Srinivasan Arunachalam
Vojtěch Havlíček
Louis Schatzki
65
8
0
05 Jun 2023
Shadows of quantum machine learning
Shadows of quantum machine learning
Sofiene Jerbi
Casper Gyurik
Simon Marshall
Riccardo Molteni
Vedran Dunjko
91
46
0
31 May 2023
On quantum backpropagation, information reuse, and cheating measurement
  collapse
On quantum backpropagation, information reuse, and cheating measurement collapse
Amira Abbas
Robbie King
Hsin-Yuan Huang
W. Huggins
R. Movassagh
D. Gilboa
Jarrod R. McClean
91
42
0
22 May 2023
Quantum Neural Network for Quantum Neural Computing
Quantum Neural Network for Quantum Neural Computing
Min-Gang Zhou
Zhi-Ping Liu
Hua‐Lei Yin
Chen-Long Li
Tong Xu
Zeng-Bing Chen
70
41
0
15 May 2023
Trainability barriers and opportunities in quantum generative modeling
Trainability barriers and opportunities in quantum generative modeling
Manuel S. Rudolph
S. Lerch
Supanut Thanasilp
Oriel Kiss
S. Vallecorsa
Michele Grossi
Zoë Holmes
94
27
0
04 May 2023
Quantum Gaussian Process Regression for Bayesian Optimization
Quantum Gaussian Process Regression for Bayesian Optimization
Frederic Rapp
Marco Roth
GP
57
20
0
25 Apr 2023
A Framework for Demonstrating Practical Quantum Advantage: Racing
  Quantum against Classical Generative Models
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models
Mohamed Hibat-Allah
M. Mauri
Juan Carrasquilla
A. Perdomo-Ortiz
68
10
0
27 Mar 2023
The power and limitations of learning quantum dynamics incoherently
The power and limitations of learning quantum dynamics incoherently
Sofiene Jerbi
Joe Gibbs
Manuel S. Rudolph
Matthias C. Caro
Patrick J. Coles
Hsin-Yuan Huang
Zoë Holmes
68
14
0
22 Mar 2023
Challenges and Opportunities in Quantum Machine Learning
Challenges and Opportunities in Quantum Machine Learning
M. Cerezo
Guillaume Verdon
Hsin-Yuan Huang
L. Cincio
Patrick J. Coles
VLM
76
445
0
16 Mar 2023
Towards provably efficient quantum algorithms for large-scale
  machine-learning models
Towards provably efficient quantum algorithms for large-scale machine-learning models
Junyu Liu
Minzhao Liu
Jin-Peng Liu
Ziyu Ye
Yunfei Wang
Yuri Alexeev
Jens Eisert
Liang Jiang
162
61
0
06 Mar 2023
Spacetime-Efficient Low-Depth Quantum State Preparation with
  Applications
Spacetime-Efficient Low-Depth Quantum State Preparation with Applications
Kaiwen Gui
A. Dalzell
Alessandro Achille
Martin Suchara
Frederic T. Chong
54
17
0
03 Mar 2023
Optimizing Quantum Federated Learning Based on Federated Quantum Natural
  Gradient Descent
Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent
Jun Qi
Xiaolin Zhang
Javier Tejedor
FedML
58
9
0
27 Feb 2023
Effects of noise on the overparametrization of quantum neural networks
Effects of noise on the overparametrization of quantum neural networks
Diego García-Martín
Martín Larocca
M. Cerezo
89
18
0
10 Feb 2023
Quantum Graph Learning: Frontiers and Outlook
Quantum Graph Learning: Frontiers and Outlook
Shuo Yu
Ciyuan Peng
Yingbo Wang
Ahsan Shehzad
Xiwei Xu
Edwin R. Hancock
AI4CE
72
5
0
02 Feb 2023
Improved machine learning algorithm for predicting ground state
  properties
Improved machine learning algorithm for predicting ground state properties
Laura Lewis
Hsin-Yuan Huang
Viet-Trung Tran
Sebastian Lehner
R. Kueng
J. Preskill
AI4CE
89
49
0
30 Jan 2023
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks
  with Quantum Computation
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation
H. Yamasaki
Sathyawageeswar Subramanian
Satoshi Hayakawa
Sho Sonoda
MLT
84
4
0
27 Jan 2023
Unravelling physics beyond the standard model with classical and quantum
  anomaly detection
Unravelling physics beyond the standard model with classical and quantum anomaly detection
Julian Schuhmacher
Laura Boggia
Vasilis Belis
E. Puljak
Michele Grossi
M. Pierini
S. Vallecorsa
F. Tacchino
Panagiotis Kl Barkoutsos
I. Tavernelli
86
27
0
25 Jan 2023
Quantum anomaly detection in the latent space of proton collision events
  at the LHC
Quantum anomaly detection in the latent space of proton collision events at the LHC
Kinga Anna Wo'zniak
Vasilis Belis
E. Puljak
Panagiotis Kl Barkoutsos
Günther Dissertori
Michele Grossi
M. Pierini
F. Reiter
I. Tavernelli
S. Vallecorsa
85
39
0
25 Jan 2023
Multi-Armed Bandits and Quantum Channel Oracles
Multi-Armed Bandits and Quantum Channel Oracles
Simon Buchholz
Jonas M. Kubler
Bernhard Schölkopf
105
2
0
20 Jan 2023
Time-Warping Invariant Quantum Recurrent Neural Networks via
  Quantum-Classical Adaptive Gating
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating
I. Nikoloska
Osvaldo Simeone
L. Banchi
Petar Velickovic
GNN
68
3
0
19 Jan 2023
Learning Quantum Processes with Memory -- Quantum Recurrent Neural
  Networks
Learning Quantum Processes with Memory -- Quantum Recurrent Neural Networks
Dmytro Bondarenko
Robert Salzmann
Viktoria-S. Schmiesing
65
4
0
19 Jan 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class
  Classification
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
Yuxuan Du
Yibo Yang
Dacheng Tao
Min-hsiu Hsieh
115
23
0
29 Dec 2022
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for
  Deep Quantum Machine Learning
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
Massimiliano Incudini
Michele Grossi
Antonio Mandarino
S. Vallecorsa
Alessandra Di Pierro
David Windridge
106
10
0
22 Dec 2022
Learning Quantum Processes and Hamiltonians via the Pauli Transfer
  Matrix
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
Matthias C. Caro
75
42
0
08 Dec 2022
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