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2312.09121
Cited By
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing
14 December 2023
M. Cerezo
Martín Larocca
Diego García-Martín
N. L. Diaz
Paolo Braccia
Enrico Fontana
Manuel S. Rudolph
Pablo Bermejo
Aroosa Ijaz
Supanut Thanasilp
Eric R. Anschuetz
Zoë Holmes
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Papers citing
"Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing"
43 / 43 papers shown
Title
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
Junghoon Justin Park
Jiook Cha
Samuel Yen-Chi Chen
H. Tseng
Shinjae Yoo
14
0
0
13 May 2025
Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection
Natansh Mathur
Brian Coyle
Nishant Jain
Snehal Raj
Akshat Tandon
Jasper Simon Krauser
Rainer Stoessel
14
0
0
25 Apr 2025
Inductive Graph Representation Learning with Quantum Graph Neural Networks
Arthur M. Faria
Ignacio F. Graña
Savvas Varsamopoulos
GNN
54
0
0
31 Mar 2025
Enhancing variational quantum algorithms by balancing training on classical and quantum hardware
Rahul Bhowmick
Harsh Wadhwa
Avinash Singh
Tania Sidana
Quoc Hoan Tran
Krishna Kumar Sabapathy
50
0
0
20 Mar 2025
On the similarity of bandwidth-tuned quantum kernels and classical kernels
Roberto Flórez Ablan
M. Roth
Jan Schnabel
58
2
0
07 Mar 2025
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks
Sabrina Herbst
S. S. Cranganore
Vincenzo De Maio
Ivona Brandić
43
0
0
17 Feb 2025
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference
Jing Xiong
Jianghan Shen
Fanghua Ye
Chaofan Tao
Zhongwei Wan
...
Xun Wu
Chuanyang Zheng
Zhijiang Guo
Lingpeng Kong
Ngai Wong
22
3
0
04 Oct 2024
Resource-efficient equivariant quantum convolutional neural networks
Koki Chinzei
Quoc Hoan Tran
Yasuhiro Endo
Hirotaka Oshima
18
0
0
02 Oct 2024
Let the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical Components
Peiyong Wang
Casey. R. Myers
Lloyd C. L. Hollenberg
U. Parampalli
60
0
0
26 Sep 2024
Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs
F. Schiavello
Edoardo Altamura
I. Tavernelli
Stefano Mensa
Benjamin C. B. Symons
21
1
0
16 Sep 2024
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits
Yuxuan Du
Min-hsiu Hsieh
Dacheng Tao
21
2
0
22 Aug 2024
Concept learning of parameterized quantum models from limited measurements
Beng Yee Gan
Po-Wei Huang
Elies Gil-Fuster
P. Rebentrost
24
1
0
09 Aug 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey
Jack Cunningham
Jun Zhuang
32
4
0
25 Jul 2024
Quantum Supervised Learning
A. Macaluso
25
2
0
24 Jul 2024
In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods
Artur Miroszewski
M. F. Asiani
Jakub Mielczarek
B. L. Saux
Jakub Nalepa
19
2
0
22 Jul 2024
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches
Y. Cordero
S. Biswas
F. Vilarino
M. Bilkis
VLM
29
0
0
08 Jul 2024
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks
Koki Chinzei
Shinichiro Yamano
Quoc-Hoan Tran
Yasuhiro Endo
H. Oshima
45
1
0
26 Jun 2024
QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest
Romina Yalovetzky
Niraj Kumar
Changhao Li
Marco Pistoia
16
0
0
17 Jun 2024
Trainability issues in quantum policy gradients
André Sequeira
Luis Paulo Santos
Luis Soares Barbosa
22
1
0
13 Jun 2024
On the relation between trainability and dequantization of variational quantum learning models
Elies Gil-Fuster
Casper Gyurik
Adrián Pérez-Salinas
Vedran Dunjko
29
10
0
11 Jun 2024
Training-efficient density quantum machine learning
Brian Coyle
El Amine Cherrat
Nishant Jain
Natansh Mathur
Snehal Raj
Skander Kazdaghli
Iordanis Kerenidis
18
5
0
30 May 2024
Architectures and random properties of symplectic quantum circuits
Diego García-Martín
Paolo Braccia
M. Cerezo
26
6
0
16 May 2024
Prospects of Privacy Advantage in Quantum Machine Learning
Jamie Heredge
Niraj Kumar
Dylan Herman
Shouvanik Chakrabarti
Romina Yalovetzky
Shree Hari Sureshbabu
Changhao Li
Marco Pistoia
16
4
0
14 May 2024
Variational Optimization for Quantum Problems using Deep Generative Networks
Lingxia Zhang
Xiaodie Lin
Peidong Wang
Kaiyan Yang
Xiao Zeng
Zhaohui Wei
Zizhu Wang
19
1
0
28 Apr 2024
Variational quantum simulation: a case study for understanding warm starts
Ricard Puig-i-Valls
Marc Drudis
Supanut Thanasilp
Zoë Holmes
19
20
0
15 Apr 2024
Image Classification with Rotation-Invariant Variational Quantum Circuits
Paul San Sebastian
Mikel Canizo
Román Orús
17
4
0
22 Mar 2024
Geometric quantum machine learning of BQP
A
^A
A
protocols and latent graph classifiers
Chukwudubem Umeano
V. Elfving
Oleksandr Kyriienko
25
2
0
06 Feb 2024
VQC-Based Reinforcement Learning with Data Re-uploading: Performance and Trainability
Rodrigo Coelho
André Sequeira
Luis Paulo Santos
23
8
0
21 Jan 2024
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
Yunfei Wang
Junyu Liu
18
25
0
21 Jan 2024
On fundamental aspects of quantum extreme learning machines
Weijie Xiong
Giorgio Facelli
Mehrad Sahebi
Owen Agnel
Thiparat Chotibut
Supanut Thanasilp
Zoë Holmes
11
20
0
23 Dec 2023
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks
Borja Aizpurua
Pablo Bermejo
Josu Etxezarreta Martinez
Roman Orus
25
5
0
06 Nov 2023
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data
Koki Chinzei
Q. Tran
Kazunori Maruyama
H. Oshima
S. Sato
20
10
0
12 Jun 2023
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
29
39
0
22 May 2023
Trainability barriers and opportunities in quantum generative modeling
Manuel S. Rudolph
S. Lerch
Supanut Thanasilp
Oriel Kiss
S. Vallecorsa
Michele Grossi
Zoë Holmes
40
24
0
04 May 2023
On the universality of
S
n
S_n
S
n
-equivariant
k
k
k
-body gates
S. Kazi
Martín Larocca
M. Cerezo
32
19
0
01 Mar 2023
Effects of noise on the overparametrization of quantum neural networks
Diego García-Martín
Martín Larocca
M. Cerezo
19
17
0
10 Feb 2023
Learning to predict arbitrary quantum processes
Hsin-Yuan Huang
Sitan Chen
J. Preskill
37
63
0
26 Oct 2022
Mitigating barren plateaus of variational quantum eigensolvers
Xia Liu
Geng-yang Liu
Jiaxin Huang
Hao-Kai Zhang
Xin Wang
23
40
0
26 May 2022
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze
Han Zheng
Zimu Li
Junyu Liu
Sergii Strelchuk
Risi Kondor
42
54
0
14 Dec 2021
Exponentially Many Local Minima in Quantum Neural Networks
Xuchen You
Xiaodi Wu
60
51
0
06 Oct 2021
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang
R. Kueng
J. Preskill
63
211
0
07 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus
Zoë Holmes
Kunal Sharma
M. Cerezo
Patrick J. Coles
118
420
0
06 Jan 2021
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Samson Wang
Enrico Fontana
M. Cerezo
Kunal Sharma
A. Sone
L. Cincio
Patrick J. Coles
119
645
0
28 Jul 2020
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