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One of the primary objectives in the field of quantum state learning is to develop algorithms that are time-efficient for learning states generated from quantum circuits.
“Linear transformations which preserve trace and positive semidefiniteness of operators”
A. Jamiołkowski · 1972
Earlier work this paper cites.
“Completely positive linear maps on complex matrices”
Man-Duen Choi · 1975
Earlier work this paper cites.
“Quantum-state estimation”
Z. Hradil · 1997
Earlier work this paper cites.
“Stabilizer codes and quantum error correction”
D. Gottesman · 1997
Earlier work this paper cites.
“Efficient computations of encodings for quantum error correction”
Richard Cleve and Daniel Gottesman · 1997
Earlier work this paper cites.
“Coding theorem and strong converse for quantum channels”
A. Winter · 1999
Earlier work this paper cites.
“A new universal and fault-tolerant quantum basis”
P.Oscar Boykin, Tal Mor, Matthew Pulver, Vwani Roychowdhury, and Farrokh Vatan · 2000
Earlier work this paper cites.
“Quantum computation and quantum information”
Michel A. Nielsen and Isaac L. Chuang · 2000
Earlier work this paper cites.
“Quantum tomography”
G. Mauro D’Ariano, Matteo G.A. Paris, and Massimiliano F. Sacchi · 2003
Earlier work this paper cites.
“Improved simulation of stabilizer circuits”
Scott Aaronson and Daniel Gottesman · 2004
Earlier work this paper cites.
“Identifying stabilizer states”
Scott Aaronson and Daniel Gottesman · 2008
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“Quantum-process tomography: Resource analysis of different strategies”
M. Mohseni, A. T. Rezakhani, and D. A. Lidar · 2008
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“Focus on quantum tomography”
K Banaszek, M Cramer, and D Gross · 2013
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“Efficient quantum tomography”
Ryan O’Donnell and John Wright · 2016
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“Sample-optimal tomography of quantum states”
Jeongwan Haah, Aram W. Harrow, Zhengfeng Ji, Xiaodi Wu, and Nengkun Yu · 2017
Cited alongside, same era.
“Learning stabilizer states by bell sampling”
Ashley Montanaro · 2017
Cited alongside, same era.
“Fast and Robust Quantum State Tomography from Few Basis Measurements”
Daniel Stilck França, Fernando G.S L. Brandão, and Richard Kueng · 2021
Later among the works it cites.
“Learning quantum circuits of some t gates”
Ching-Yi Lai and Hao-Chung Cheng · 2022
Later among the works it cites.
“Optimal algorithms for learning quantum phase states”
Srinivasan Arunachalam, Sergey Bravyi, Arkopal Dutt, and Theodore J. Yoder · 2023
Closest in time.
“Efficient learning of quantum states prepared with few non-clifford gates”
Sabee Grewal, Vishnu Iyer, William Kretschmer, and Daniel Liang · 2023
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“Learning t-doped stabilizer states”
Lorenzo Leone, Salvatore F. E. Oliviero, and Alioscia Hamma · 2023
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“Sample Efficient Algorithms for Learning Quantum Channels in PAC Model and the Approximate State Discrimination Problem”
Kai-Min Chung and Han-Hsuan Lin · 2021
Cited alongside, same era.
“Hadamard-free circuits expose the structure of the clifford group”
Sergey Bravyi and Dmitri Maslov · 2021
Cited alongside, same era.
“A simple method for sampling random clifford operators”
Ewout Van Den Berg · 2021
Cited alongside, same era.
“Bell sampling from quantum circuits”
Dominik Hangleiter and Michael J. Gullans · 2023
Closest in time.
“One t t gate makes distribution learning hard”
M. Hinsche, M. Ioannou, A. Nietner, J. Haferkamp, Y. Quek, D. Hangleiter, J.-P. Seifert, J. Eisert, and R. Sweke · 2023
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“Improved stabilizer estimation via bell difference sampling” (2023)
Sabee Grewal, Vishnu Iyer, William Kretschmer, and Daniel Liang · 2023
Closest in time.
Sabee Grewal, Vishnu Iyer, William Kretschmer, and Daniel Liang · 2023
Closest in time.