Fetching the paper…
Reading the bibliography…
Cross-platform verification, a critical undertaking in the realm of early-stage quantum computing, endeavors to characterize the similarity of two imperfect quantum devices executing identical algorithms, utilizing minimal measurements.
Measuring quantum entanglement without prior state reconstruction
Paweł Horodecki · 2003
Earlier work this paper cites.
Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
Earlier work this paper cites.
Bilinear classifiers for visual recognition
Hamed Pirsiavash, Deva Ramanan, and Charless Fowlkes · 2009
Earlier work this paper cites.
Homodyne estimation of quantum state purity by exploiting the covariant uncertainty relation
VI Man’Ko, Giuseppe Marmo, A Porzio, Salvatore Solimeno, and Franco Ventriglia · 2011
Earlier work this paper cites.
Measuring tr ρ \rho n on single copies of ρ \rho using random measurements
Steven J van Enk and Carlo WJ Beenakker · 2012
Earlier work this paper cites.
Lecture notes for ph219/cs219: Quantum information
John Preskill · 2015
Earlier work this paper cites.
Hadamard product for low-rank bilinear pooling
Jin-Hwa Kim, Kyoung-Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, and Byoung-Tak Zhang · 2016
Earlier work this paper cites.
Deep multimodal fusion for persuasiveness prediction
Behnaz Nojavanasghari, Deepak Gopinath, Jayanth Koushik, Tadas Baltrušaitis, and Louis-Philippe Morency · 2016
Earlier work this paper cites.
Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets
Abhinav Kandala, Antonio Mezzacapo, Kristan Temme, Maika Takita, Markus Brink, Jerry M Chow, and Jay M Gambetta · 2017
Earlier work this paper cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Quantum computing in the nisq era and beyond
John Preskill · 2018
Earlier work this paper cites.
Shadow tomography of quantum states
Scott Aaronson · 2018
Earlier work this paper cites.
Rényi entropies from random quenches in atomic hubbard and spin models
Andreas Elben, Benoît Vermersch, Marcello Dalmonte, J Ignacio Cirac, and Peter Zoller · 2018
Earlier work this paper cites.
Neural-network quantum state tomography
Giacomo Torlai, Guglielmo Mazzola, Juan Carrasquilla, Matthias Troyer, Roger Melko, and Giuseppe Carleo · 2018
Earlier work this paper cites.
Machine learning detection of bell nonlocality in quantum many-body systems
Dong-Ling Deng · 2018
Earlier work this paper cites.
Transforming bell’s inequalities into state classifiers with machine learning
Yue-Chi Ma and Man-Hong Yung · 2018
Earlier work this paper cites.
Machine-learning-assisted many-body entanglement measurement
Johnnie Gray, Leonardo Banchi, Abolfazl Bayat, and Sougato Bose · 2018
Earlier work this paper cites.
Centralnet: a multilayer approach for multimodal fusion
Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, and Frédéric Jurie · 2018
Earlier work this paper cites.
Supervised learning with quantum-enhanced feature spaces
Vojtěch Havlíček, Antonio D Córcoles, Kristan Temme, Aram W Harrow, Abhinav Kandala, Jerry M Chow, and Jay M Gambetta · 2019
Earlier work this paper cites.
Simulating quantum many-body dynamics on a current digital quantum computer
Adam Smith, MS Kim, Frank Pollmann, and Johannes Knolle · 2019
Earlier work this paper cites.
Quantum supremacy using a programmable superconducting processor
Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando GSL Brandao, David A Buell, et al · 2019
Earlier work this paper cites.
Quantum fidelity measures for mixed states
Yeong-Cherng Liang, Yu-Hao Yeh, Paulo EMF Mendonça, Run Yan Teh, Margaret D Reid, and Peter D Drummond · 2019
Earlier work this paper cites.
Measuring quantum entropy
Jayadev Acharya, Ibrahim Issa, Nirmal V Shende, and Aaron B Wagner · 2019
Earlier work this paper cites.
Characterizing multipartite entanglement with moments of random correlations
Andreas Ketterer, Nikolai Wyderka, and Otfried Gühne · 2019
Earlier work this paper cites.
Local-measurement-based quantum state tomography via neural networks
Tao Xin, Sirui Lu, Ningping Cao, Galit Anikeeva, Dawei Lu, Jun Li, Guilu Long, and Bei Zeng · 2019
Earlier work this paper cites.
Not all qubits are created equal: A case for variability-aware policies for nisq-era quantum computers
Swamit S Tannu and Moinuddin K Qureshi · 2019
Earlier work this paper cites.
Tackling the qubit mapping problem for nisq-era quantum devices
Gushu Li, Yufei Ding, and Yuan Xie · 2019
Earlier work this paper cites.
Mfas: Multimodal fusion architecture search
Juan-Manuel Pérez-Rúa, Valentin Vielzeuf, Stéphane Pateux, Moez Baccouche, and Frédéric Jurie · 2019
Cited alongside, same era.
Cross-platform verification of intermediate scale quantum devices
Andreas Elben, Benoît Vermersch, Rick van Bijnen, Christian Kokail, Tiff Brydges, Christine Maier, Manoj K Joshi, Rainer Blatt, Christian F Roos, and Peter Zoller · 2020
Cited alongside, same era.
Predicting many properties of a quantum system from very few measurements
Hsin-Yuan Huang, Richard Kueng, and John Preskill · 2020
Cited alongside, same era.
Multipartite entanglement analysis from random correlations
Lukas Knips, Jan Dziewior, Waldemar Kłobus, Wiesław Laskowski, Tomasz Paterek, Peter J Shadbolt, Harald Weinfurter, and Jasmin DA Meinecke · 2020
Cited alongside, same era.
Accurate multiobjective design in a space of millions of transition metal complexes with neural-network-driven efficient global optimization
Jon Paul Janet, Sahasrajit Ramesh, Chenru Duan, and Heather J Kulik · 2020
Cited alongside, same era.
Classical shadows with pauli-invariant unitary ensembles
Kaifeng Bu, Dax Enshan Koh, Roy J Garcia, and Arthur Jaffe · 2022
Later among the works it cites.
Competition-level code generation with alphacode
Yujia Li, David Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, et al · 2022
Later among the works it cites.
Learning inverse folding from millions of predicted structures
Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, and Alexander Rives · 2022
Later among the works it cites.
Efficient quantum state tomography with convolutional neural networks
Tobias Schmale, Moritz Reh, and Martin Gärttner · 2022
Later among the works it cites.
Neural-network quantum state tomography
Dominik Koutnỳ, Libor Motka, Zdeněk Hradil, Jaroslav Řeháček, and Luis L Sánchez-Soto · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Machine learning assisted quantum state estimation
Sanjaya Lohani, Brian T Kirby, Michael Brodsky, Onur Danaci, and Ryan T Glasser · 2020
Cited alongside, same era.
Experimental neural network enhanced quantum tomography
Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi, Dmitry Yudin, Stanislav Straupe, Jacob D Biamonte, and Sergei Kulik · 2020
Cited alongside, same era.
A neural network oracle for quantum nonlocality problems in networks
Tamás Kriváchy, Yu Cai, Daniel Cavalcanti, Arash Tavakoli, Nicolas Gisin, and Nicolas Brunner · 2020
Cited alongside, same era.
Just-in-time quantum circuit transpilation reduces noise
Ellis Wilson, Sudhakar Singh, and Frank Mueller · 2020
Cited alongside, same era.
Multimodal intelligence: Representation learning, information fusion, and applications
Chao Zhang, Zichao Yang, Xiaodong He, and Li Deng · 2020
Cited alongside, same era.
Theoretical and experimental perspectives of quantum verification
Jose Carrasco, Andreas Elben, Christian Kokail, Barbara Kraus, and Peter Zoller · 2021
Cited alongside, same era.
Single-qubit cross platform comparison of quantum computing hardware
Adrien Suau, Jon Nelson, Marc Vuffray, Andrey Y Lokhov, Lukasz Cincio, and Carleton Coffrin · 2021
Cited alongside, same era.
Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, et al · 2022
Later among the works it cites.
Quantum circuit fidelity estimation using machine learning
Avi Vadali, Rutuja Kshirsagar, Prasanth Shyamsundar, and Gabriel N Perdue · 2022
Later among the works it cites.
The dilemma of quantum neural networks
Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, and Dacheng Tao · 2022
Later among the works it cites.
A distributed learning scheme for variational quantum algorithms
Yuxuan Du, Yang Qian, Xingyao Wu, and Dacheng Tao · 2022
Later among the works it cites.
Shuffle-qudio: accelerate distributed vqe with trainability enhancement and measurement reduction
Yang Qian, Yuxuan Du, and Dacheng Tao · 2022
Later among the works it cites.
Gaussian boson sampling with pseudo-photon-number resolving detectors and quantum computational advantage
Yu-Hao Deng, Yi-Chao Gu, Hua-Liang Liu, Si-Qiu Gong, Hao Su, Zhi-Jiong Zhang, Hao-Yang Tang, Meng-Hao Jia, Jia-Min Xu, Ming-Cheng Chen, et al · 2023
Closest in time.
Evidence for the utility of quantum computing before fault tolerance
Youngseok Kim, Andrew Eddins, Sajant Anand, Ken Xuan Wei, Ewout Van Den Berg, Sami Rosenblatt, Hasan Nayfeh, Yantao Wu, Michael Zaletel, Kristan Temme, et al · 2023
Closest in time.
Cross-platform verification in quantum networks
Johannes Knörzer, Daniel Malz, and J Ignacio Cirac · 2023
Closest in time.
Recent advances for quantum neural networks in generative learning
Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, et al · 2023
Closest in time.
Qiskit: An open-source framework for quantum computing, 2023
Qiskit contributors · 2023
Closest in time.
Improved machine learning algorithm for predicting ground state properties
Laura Lewis, Hsin-Yuan Huang, Viet T Tran, Sebastian Lehner, Richard Kueng, and John Preskill · 2023
Closest in time.
Classical shadow tomography with locally scrambled quantum dynamics
Hong-Ye Hu, Soonwon Choi, and Yi-Zhuang You · 2023
Closest in time.
The randomized measurement toolbox
Andreas Elben, Steven T Flammia, Hsin-Yuan Huang, Richard Kueng, John Preskill, Benoît Vermersch, and Peter Zoller · 2023
Closest in time.
Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, et al · 2023
Closest in time.
Neural-shadow quantum state tomography
Victor Wei, WA Coish, Pooya Ronagh, and Christine A Muschik · 2023
Closest in time.
Sample-efficient estimation of entanglement entropy through supervised learning
Maximilian Rieger, Moritz Reh, and Martin Gärttner · 2023
Closest in time.
Deep learning of quantum entanglement from incomplete measurements
Dominik Koutnỳ, Laia Ginés, Magdalena Moczała-Dusanowska, Sven Höfling, Christian Schneider, Ana Predojević, and Miroslav Ježek · 2023
Closest in time.
Quantum neural estimation of entropies
Ziv Goldfeld, Dhrumil Patel, Sreejith Sreekumar, and Mark M Wilde · 2023
Closest in time.
Estimating quantum mutual information through a quantum neural network
Myeongjin Shin, Junseo Lee, and Kabgyun Jeong · 2023
Closest in time.
Quantum similarity testing with convolutional neural networks
Ya-Dong Wu, Yan Zhu, Ge Bai, Yuexuan Wang, and Giulio Chiribella · 2023
Closest in time.
Shadownet for data-centric quantum system learning
Yuxuan Du, Yibo Yang, Tongliang Liu, Zhouchen Lin, Bernard Ghanem, and Dacheng Tao · 2023
Closest in time.
Problem-dependent power of quantum neural networks on multiclass classification
Yuxuan Du, Yibo Yang, Dacheng Tao, and Min-Hsiu Hsieh · 2023
Closest in time.
Suppressing quantum circuit errors due to system variability
Paul D Nation and Matthew Treinish · 2023
Closest in time.