Predicting Many Properties of a Quantum System from Very Few Measurements

18 February 2020

Papers citing "Predicting Many Properties of a Quantum System from Very Few Measurements"

50 / 160 papers shown

Title
Learning Stochastic Thermodynamics Directly from Correlation and Trajectory-Fluctuation Currents Jinghao Lyu Kyle J. Ray James P. Crutchfield AI4CE 53 0 0 26 Apr 2025
The Hardness of Learning Quantum Circuits and its Cryptographic Applications Bill Fefferman Soumik Ghosh Makrand Sinha Henry Yuen 21 0 0 21 Apr 2025
Differential equation quantum solvers: engineering measurements to reduce cost Annie Paine Casper Gyurik Antonio Andrea Gentile 37 0 0 28 Mar 2025
Multiple Embeddings for Quantum Machine Learning Siyu Han Lihan Jia Lanzhe Guo 35 0 0 27 Mar 2025
Centroid Decision Forest Amjad Ali Zardad Khan Saeed Aldahmani 37 0 0 25 Mar 2025
Blockchain with proof of quantum work M. Amin Jack Raymond Daniel Kinn Firas Hamze Kelsey Hamer Joel Pasvolsky William Bernoudy Andrew D. King Samuel Kortas 57 0 0 18 Mar 2025
Learning Informative Latent Representation for Quantum State Tomography Hailan Ma Zhenhong Sun Daoyi Dong Dong Gong 39 1 0 08 Jan 2025
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation Tao Liu Rongjie Li Chongyu Wang Xuming He 37 0 0 26 Dec 2024
Computational metaoptics for imaging Charles Roques-Carmes Kai Wang Y. Yang A. Majumdar Zin Lin 24 1 0 14 Nov 2024
Efficient Hamiltonian, structure and trace distance learning of Gaussian states Marco Fanizza Cambyse Rouzé Daniel Stilck França 37 4 0 05 Nov 2024
Distribution alignment based transfer fusion frameworks on quantum devices for seeking quantum advantages Xi He Feiyu Du Xiaohan Yu Yang Zhao Tao Lei 20 0 0 04 Nov 2024
Quantum Deep Equilibrium Models Philipp Schleich Marta Skreta L. B. Kristensen Rodrigo A. Vargas-Hernández Alán Aspuru-Guzik 30 0 0 31 Oct 2024
Learning quantum states prepared by shallow circuits in polynomial time Zeph Landau Yunchao Liu 33 7 0 31 Oct 2024
When can classical neural networks represent quantum states? Tai-Hsuan Yang Mehdi Soleimanifar Thiago Bergamaschi J. Preskill 34 3 0 30 Oct 2024
On the sample complexity of purity and inner product estimation Weiyuan Gong Jonas Haferkamp Qi Ye Zhihan Zhang 26 4 0 16 Oct 2024
A New World in the Depths of Microcrypt: Separating OWSGs and Quantum Money from QEFID Amit Behera Giulio Malavolta T. Morimae Tamer Mour Takashi Yamakawa 22 5 0 04 Oct 2024
Oracle Separation Between Quantum Commitments and Quantum One-wayness John Bostanci Boyang Chen Barak Nehoran 22 5 0 04 Oct 2024
Predicting quantum channels over general product distributions Sitan Chen Jaume de Dios Pont Jun-Ting Hsieh Hsin-Yuan Huang Jane Lange Jerry Li 22 3 0 05 Sep 2024
Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics Osama Ahmed Felix Tennie Luca Magri 18 2 0 02 Sep 2024
New Bounds on Quantum Sample Complexity of Measurement Classes Mohsen Heidari Wojciech Szpankowski 20 1 0 22 Aug 2024
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits Yuxuan Du Min-hsiu Hsieh Dacheng Tao 36 2 0 22 Aug 2024
Solving The Quantum Many-Body Hamiltonian Learning Problem with Neural Differential Equations Timothy Heightman Edward Jiang Antonio Acín AI4CE 48 3 0 16 Aug 2024
Concept learning of parameterized quantum models from limited measurements Beng Yee Gan Po-Wei Huang Elies Gil-Fuster P. Rebentrost 40 1 0 09 Aug 2024
Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling Michael Kölle Afrae Ahouzi Pascal Debus Elif Çetiner Robert Muller Daniëlle Schuman Claudia Linnhoff-Popien 14 0 0 30 Jul 2024
Optimal high-precision shadow estimation Sitan Chen Jungshian Li Allen Liu 26 1 0 18 Jul 2024
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches Y. Cordero S. Biswas F. Vilarino M. Bilkis VLM 34 0 0 08 Jul 2024
On the relation between trainability and dequantization of variational quantum learning models Elies Gil-Fuster Casper Gyurik Adrián Pérez-Salinas Vedran Dunjko 34 10 0 11 Jun 2024
Online learning of a panoply of quantum objects Akshay Bansal Ian George Soumik Ghosh Jamie Sikora Alice Zheng 27 2 0 06 Jun 2024
Learning topological states from randomized measurements using variational tensor network tomography Y. Teng R. Samajdar Katherine Van Kirk Frederik Wilde S. Sachdev Jens Eisert R. Sweke Khadijeh Najafi 33 2 0 31 May 2024
Training-efficient density quantum machine learning Brian Coyle El Amine Cherrat Nishant Jain Natansh Mathur Snehal Raj Skander Kazdaghli Iordanis Kerenidis 42 5 0 30 May 2024
Principal eigenstate classical shadows Daniel Grier Hakop Pashayan Luke Schaeffer 18 2 0 22 May 2024
Accurate Learning of Equivariant Quantum Systems from a Single Ground State Stepán Smíd Roberto Bondesan 40 0 0 20 May 2024
Learning low-degree quantum objects Srinivasan Arunachalam Arkopal Dutt Francisco Escudero Gutiérrez Carlos Palazuelos 30 5 0 17 May 2024
Improved classical shadows from local symmetries in the Schur basis Daniel Grier Sihan Liu Gaurav Mahajan 16 2 0 15 May 2024
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem Xinbiao Wang Yuxuan Du Kecheng Liu Yong Luo Bo Du Dacheng Tao 27 1 0 12 May 2024
Structure learning of Hamiltonians from real-time evolution Ainesh Bakshi Allen Liu Ankur Moitra Ewin Tang 29 13 0 30 Apr 2024
Certifying almost all quantum states with few single-qubit measurements Hsin-Yuan Huang J. Preskill Mehdi Soleimanifar 31 17 0 10 Apr 2024
Quantum State Generation with Structure-Preserving Diffusion Model Yuchen Zhu Tianrong Chen Evangelos A. Theodorou Xie Chen Molei Tao DiffM 37 6 0 09 Apr 2024
Efficient Gradient Estimation of Variational Quantum Circuits with Lie Algebraic Symmetries Mohsen Heidari Masih Mozakka Wojtek Szpankowski 14 2 0 07 Apr 2024
Agnostic Tomography of Stabilizer Product States Sabee Grewal Vishnu Iyer William Kretschmer Daniel Liang 26 2 0 04 Apr 2024
Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations Kuan-Cheng Chen Xiaoren Li Xiaotian Xu Yun-Yuan Wang Chen-Yu Liu 177 1 0 09 Mar 2024
Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows Hong-Ye Hu Andi Gu Swarnadeep Majumder Hang Ren Yipei Zhang Derek S. Wang Yi-Zhuang You Zlatko K. Minev S. Yelin Alireza Seif 29 24 0 27 Feb 2024
Quantum linear algebra is all you need for Transformer architectures Naixu Guo Zhan Yu Matthew Choi Aman Agrawal Kouhei Nakaji Alán Aspuru-Guzik P. Rebentrost AI4CE 28 14 0 26 Feb 2024
Learning Properties of Quantum States Without the I.I.D. Assumption Omar Fawzi R. Kueng Damian Markham Aadil Oufkir 14 6 0 30 Jan 2024
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance Yunfei Wang Junyu Liu 33 26 0 21 Jan 2024
Learning shallow quantum circuits Hsin-Yuan Huang Yunchao Liu Michael Broughton Isaac Kim Anurag Anshu Zeph Landau Jarrod R. McClean 30 26 0 18 Jan 2024
Élivágar: Efficient Quantum Circuit Search for Classification Sashwat Anagolum Narges Alavisamani Poulami Das Moinuddin K. Qureshi Eric Kessler Yunong Shi 34 14 0 17 Jan 2024
On Lattices, Learning with Errors, Random Linear Codes, and Cryptography O. Regev LRM 71 1,073 0 08 Jan 2024
On fundamental aspects of quantum extreme learning machines Weijie Xiong Giorgio Facelli Mehrad Sahebi Owen Agnel Thiparat Chotibut Supanut Thanasilp Zoë Holmes 24 22 0 23 Dec 2023
Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements Michael Kölle Afrae Ahouzi Pascal Debus Robert Muller Daniëlle Schuman Claudia Linnhoff-Popien 16 3 0 14 Dec 2023