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TensorFlow Quantum: A Software Framework for Quantum Machine Learning
v1v2 (latest)

TensorFlow Quantum: A Software Framework for Quantum Machine Learning

6 March 2020
Michael Broughton
Guillaume Verdon
Trevor McCourt
Antonio J. Martinez
Jae Hyeon Yoo
Sergei V. Isakov
Philip Massey
Ramin Halavati
M. Niu
Alexander Zlokapa
Evan Peters
Owen Lockwood
Andrea Skolik
Sofiene Jerbi
Vedran Dunjko
Martin Leib
Michael Streif
David Von Dollen
Hongxiang Chen
Shuxiang Cao
Roeland Wiersema
Hsin-Yuan Huang
Jarrod R. McClean
Ryan Babbush
Sergio Boixo
Dave Bacon
Alan K. Ho
Hartmut Neven
Masoud Mohseni
    VLMAI4CE
ArXiv (abs)PDFHTML

Papers citing "TensorFlow Quantum: A Software Framework for Quantum Machine Learning"

50 / 88 papers shown
TorchQuantumDistributed
TorchQuantumDistributed
Oliver Knitter
Jonathan Mei
Masako Yamada
Martin Roetteler
173
0
0
24 Nov 2025
Lane-Frame Quantum Multimodal Driving Forecasts for the Trajectory of Autonomous Vehicles
Lane-Frame Quantum Multimodal Driving Forecasts for the Trajectory of Autonomous Vehicles
Navneet Singh
Shiva Raj Pokhrel
128
0
0
21 Nov 2025
QML-HCS: A Hypercausal Quantum Machine Learning Framework for Non-Stationary Environments
QML-HCS: A Hypercausal Quantum Machine Learning Framework for Non-Stationary Environments
Hector E Mozo
134
0
0
18 Nov 2025
Superpositional Gradient Descent: Harnessing Quantum Principles for Model Training
Superpositional Gradient Descent: Harnessing Quantum Principles for Model Training
Ahmet Erdem Pamuk
Emir Kaan Özdemir
Şuayp Talha Kocabay
139
0
0
01 Nov 2025
Expressive and Scalable Quantum Fusion for Multimodal Learning
Expressive and Scalable Quantum Fusion for Multimodal Learning
T. Nguyen
Trong Nghia Hoang
Phi Le Nguyen
Hai L. Vu
Truong Cong Thang
202
0
0
08 Oct 2025
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A SurveyInternational Conference on Modern Circuits and Systems Technologies (ICMCST), 2025
Devashish Chaudhary
Sutharshan Rajasegarar
Mengyue Deng
FedMLAI4CE
719
4
0
24 Sep 2025
Generative quantum advantage for classical and quantum problems
Generative quantum advantage for classical and quantum problems
Hsin-Yuan Huang
Michael Broughton
Norhan Eassa
Hartmut Neven
Ryan Babbush
Jarrod R. McClean
262
12
0
10 Sep 2025
Variational Quantum Circuits in Offline Contextual Bandit Problems
Variational Quantum Circuits in Offline Contextual Bandit Problems
Lukas Schulte
Daniel Hein
Steffen Udluft
Thomas Runkler
OffRL
155
0
0
09 Sep 2025
Towards Quantum Machine Learning for Malicious Code Analysis
Towards Quantum Machine Learning for Malicious Code Analysis
Jesus Lopez
Saeefa Rubaiyet Nowmi
Viviana Cadena
Mohammad Saidur Rahman
AAML
169
1
0
26 Aug 2025
Hybrid quantum recurrent neural network for remaining useful life prediction
Hybrid quantum recurrent neural network for remaining useful life prediction
Olga Tsurkan
Aleksandra Konstantinova
Aleksandr Sedykh
Dmitrii Zhiganov
Arsenii Senokosov
Daniil Tarpanov
Matvei Anoshin
Leonid Fedichkin
334
2
0
29 Apr 2025
Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks
Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks
Nayoung Lee
Minsoo Shin
Asel Sagingalieva
Ayush Joshi Tripathi
Karan Pinto
Alexey A. Melnikov
Karan Pinto
Alexey Melnikov
AI4CE
366
4
0
16 Apr 2025
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs
Afrah Farea
Saiful Khan
Mustafa Serdar Celebi
PINN
794
13
0
20 Mar 2025
Quantum vs. Classical Machine Learning Algorithms for Software Defect
  Prediction: Challenges and Opportunities
Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and OpportunitiesWorkshop on Quantum Software Engineering (QSE), 2024
M. Nadim
Mohammad Hassan
Ashis Kumar Mandal
C. Roy
287
9
0
10 Dec 2024
Expressivity of deterministic quantum computation with one qubit
Expressivity of deterministic quantum computation with one qubit
Yujin Kim
Daniel K. Park
232
5
0
05 Nov 2024
Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning
Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning
Nguyen Van Huynh
Bolun Zhang
Dinh-Hieu Tran
D. Hoang
Diep N. Nguyen
Gan Zheng
Dusit Niyato
Quoc-Viet Pham
280
4
0
23 Oct 2024
New Bounds on Quantum Sample Complexity of Measurement Classes
New Bounds on Quantum Sample Complexity of Measurement ClassesInternational Symposium on Information Theory (ISIT), 2024
Mohsen Heidari
Wojciech Szpankowski
183
5
0
22 Aug 2024
Hybrid Classical-Quantum architecture for vectorised image
  classification of hand-written sketches
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches
Y. Cordero
S. Biswas
F. Vilarino
M. Bilkis
VLM
282
0
0
08 Jul 2024
Exploiting the equivalence between quantum neural networks and
  perceptrons
Exploiting the equivalence between quantum neural networks and perceptrons
Chris Mingard
Jessica Pointing
Charles London
Yoonsoo Nam
Ard A. Louis
382
5
0
05 Jul 2024
Do Quantum Neural Networks have Simplicity Bias?
Do Quantum Neural Networks have Simplicity Bias?
Jessica Pointing
AI4CE
247
4
0
03 Jul 2024
Training-efficient density quantum machine learning
Training-efficient density quantum machine learning
Brian Coyle
El Amine Cherrat
Nishant Jain
Natansh Mathur
Snehal Raj
Skander Kazdaghli
Iordanis Kerenidis
430
14
0
30 May 2024
Hype or Heuristic? Quantum Reinforcement Learning for Join Order
  Optimisation
Hype or Heuristic? Quantum Reinforcement Learning for Join Order OptimisationInternational Conference on Quantum Computing and Engineering (QCE), 2024
Maja Franz
Tobias Winker
Sven Groppe
Wolfgang Mauerer
202
17
0
13 May 2024
Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
Qiskit-Torch-Module: Fast Prototyping of Quantum Neural NetworksInternational Conference on Quantum Computing and Engineering (QCE), 2024
Nico Meyer
Christian Ufrecht
Maniraman Periyasamy
Axel Plinge
Christopher Mutschler
Daniel D. Scherer
Andreas R. Maier
289
8
0
09 Apr 2024
Bridging Quantum Computing and Differential Privacy: Insights into
  Quantum Computing Privacy
Bridging Quantum Computing and Differential Privacy: Insights into Quantum Computing PrivacyInternational Conference on Quantum Computing and Engineering (QCE), 2024
Yusheng Zhao
Hui Zhong
Xinyue Zhang
Yuqing Li
Chi Zhang
Miao Pan
314
6
0
14 Mar 2024
A Quantum-Classical Collaborative Training Architecture Based on Quantum
  State Fidelity
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity
Ryan LÁbbate
Anthony DÓnofrio
S. Stein
Samuel Yen-Chi Chen
Ang Li
Pin-Yu Chen
Juntao Chen
Y. Mao
317
16
0
23 Feb 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems
Jinjing Shi
Zimeng Xiao
Heyuan Shi
Yu Jiang
Xuelong Li
AAML
278
6
0
20 Feb 2024
Distributed Quantum Learning with co-Management in a Multi-tenant
  Quantum System
Distributed Quantum Learning with co-Management in a Multi-tenant Quantum SystemBigData Congress [Services Society] (BSS), 2023
Anthony DÓnofrio
Amir Hossain
Lesther Santana
Naseem Machlovi
S. Stein
Jinwei Liu
Ang Li
Y. Mao
241
7
0
13 Dec 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
390
12
0
15 Nov 2023
Projected Stochastic Gradient Descent with Quantum Annealed Binary
  Gradients
Projected Stochastic Gradient Descent with Quantum Annealed Binary GradientsBritish Machine Vision Conference (BMVC), 2023
Maximilian Krahn
Michele Sasdelli
Fengyi Yang
Vladislav Golyanik
Arno Solin
Tat-Jun Chin
Tolga Birdal
MQ
454
4
0
23 Oct 2023
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
Kamila Zaman
Alberto Marchisio
Muhammad Abdullah Hanif
Mohamed Bennai
538
69
0
16 Oct 2023
Quantum Shadow Gradient Descent for Quantum Learning
Quantum Shadow Gradient Descent for Quantum Learning
Mohsen Heidari
M. Naved
Wenbo Xie
Arjun Jacob Grama
Wojtek Szpankowski
209
0
0
10 Oct 2023
Fast Simulation of High-Depth QAOA Circuits
Fast Simulation of High-Depth QAOA Circuits
Danylo Lykov
Ruslan Shaydulin
Yue Sun
Yuri Alexeev
Marco Pistoia
226
36
0
09 Sep 2023
Several fitness functions and entanglement gates in quantum kernel
  generation
Several fitness functions and entanglement gates in quantum kernel generationQuantum Machine Intelligence (QMI), 2023
Haiyan Wang
265
5
0
22 Aug 2023
Training Quantum Boltzmann Machines with Coresets
Training Quantum Boltzmann Machines with CoresetsInternational Conference on Quantum Computing and Engineering (ICQCE), 2022
Joshua Viszlai
T. Tomesh
P. Gokhale
Eric R. Anschuetz
Frederic T. Chong
213
1
0
26 Jul 2023
Can I say, now machines can think?
Can I say, now machines can think?
Nitisha Aggarwal
G. Saxena
Sanjeev Singh
Amit Pundir
LRMAI4CE
252
4
0
11 Jul 2023
Towards Quantum Federated Learning
Towards Quantum Federated Learning
Chao Ren
Han Yu
Rudai Yan
Minrui Xu
Yuan Shen
Huihui Zhu
Dusit Niyato
Zhaoyang Dong
L. Kwek
FedMLAI4CE
354
33
0
16 Jun 2023
Quantum Convolutional Neural Networks for Multi-Channel Supervised
  Learning
Quantum Convolutional Neural Networks for Multi-Channel Supervised LearningQuantum Machine Intelligence (QMI), 2023
Anthony M. Smaldone
Gregory W. Kyro
V.S. Batista
277
23
0
30 May 2023
Quantum Imitation Learning
Quantum Imitation LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Zhihao Cheng
Kaining Zhang
Li Shen
Dacheng Tao
192
3
0
04 Apr 2023
Challenges and Opportunities in Quantum Machine Learning
Challenges and Opportunities in Quantum Machine LearningNature Computational Science (Nat. Comput. Sci.), 2022
M. Cerezo
Guillaume Verdon
Hsin-Yuan Huang
L. Cincio
Patrick J. Coles
VLM
299
709
0
16 Mar 2023
VQNet 2.0: A New Generation Machine Learning Framework that Unifies
  Classical and Quantum
VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum
Huanyu Bian
Z. Jia
Meng-Han Dou
Yuan Fang
Leijiao Li
...
Yang Yang
Weiming Zhang
Neng H. Yu
Zhao-Yun Chen
G. Guo
GNN
225
5
0
09 Jan 2023
Hybrid quantum neural network for drug response prediction
Hybrid quantum neural network for drug response prediction
Asel Sagingalieva
Mohammad Kordzanganeh
Nurbolat Kenbayev
Daria Kosichkina
Tatiana Tomashuk
A. Melnikov
276
104
0
10 Nov 2022
Tierkreis: A Dataflow Framework for Hybrid Quantum-Classical Computing
Tierkreis: A Dataflow Framework for Hybrid Quantum-Classical Computing
Seyon Sivarajah
Lukas Heidemann
A. Lawrence
Ross Duncan
79
9
0
04 Nov 2022
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken
  Command Recognition
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Chao-Han Huck Yang
Yue Liu
Yu Zhang
Nanxin Chen
Tara N. Sainath
Sabato Marco Siniscalchi
Chin-Hui Lee
195
10
0
02 Nov 2022
On Physics-Informed Neural Networks for Quantum Computers
On Physics-Informed Neural Networks for Quantum ComputersFrontiers in Applied Mathematics and Statistics (FAMS), 2022
Stefano Markidis
PINN
300
34
0
28 Sep 2022
Iterative Qubits Management for Quantum Index Searching in a Hybrid
  System
Iterative Qubits Management for Quantum Index Searching in a Hybrid SystemIEEE International Performance, Computing, and Communications Conference (IPCCC), 2022
W. Mu
Y. Mao
Long Cheng
Qingle Wang
Weiwen Jiang
Pin-Yu Chen
166
5
0
22 Sep 2022
Evolutionary Quantum Architecture Search for Parametrized Quantum
  Circuits
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits
Lidong Ding
Lee Spector
206
21
0
23 Aug 2022
Scalable Quantum Neural Networks for Classification
Scalable Quantum Neural Networks for ClassificationInternational Conference on Quantum Computing and Engineering (ICQCE), 2022
Jindi Wu
Zeyi Tao
Qun Li
GNN
185
23
0
04 Aug 2022
Recent Advances for Quantum Neural Networks in Generative Learning
Recent Advances for Quantum Neural Networks in Generative LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jinkai Tian
Xiaoyun Sun
Yuxuan Du
Shanshan Zhao
Qing Liu
...
Xingyao Wu
Min-hsiu Hsieh
Tongliang Liu
Wen-Bin Yang
Dacheng Tao
AI4CE
344
128
0
07 Jun 2022
Quantum Neural Network Classifiers: A Tutorial
Quantum Neural Network Classifiers: A TutorialSciPost Physics Lecture Notes (SPLN), 2022
Weikang Li
Zhide Lu
D. Deng
192
46
0
06 Jun 2022
QFaaS: A Serverless Function-as-a-Service Framework for Quantum
  Computing
QFaaS: A Serverless Function-as-a-Service Framework for Quantum ComputingFuture generations computer systems (FGCS), 2022
H. T. Nguyen
Muhammad Usman
Rajkumar Buyya
148
67
0
30 May 2022
Quantum neural network autoencoder and classifier applied to an
  industrial case study
Quantum neural network autoencoder and classifier applied to an industrial case studyQuantum Machine Intelligence (QMI), 2022
Stefano Mangini
A. Marruzzo
M. Piantanida
D. Gerace
D. Bajoni
C. Macchiavello
AI4CE
293
26
0
09 May 2022
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