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Learning Quantum Processes and Hamiltonians via the Pauli Transfer
  Matrix

Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix

8 December 2022
Matthias C. Caro
ArXivPDFHTML

Papers citing "Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix"

18 / 18 papers shown
Title
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph
  Generation
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation
Tao Liu
Rongjie Li
Chongyu Wang
Xuming He
30
0
0
26 Dec 2024
Efficient Learning for Linear Properties of Bounded-Gate Quantum
  Circuits
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits
Yuxuan Du
Min-hsiu Hsieh
Dacheng Tao
21
2
0
22 Aug 2024
Structure learning of Hamiltonians from real-time evolution
Structure learning of Hamiltonians from real-time evolution
Ainesh Bakshi
Allen Liu
Ankur Moitra
Ewin Tang
11
13
0
30 Apr 2024
Simple algorithms to test and learn local Hamiltonians
Simple algorithms to test and learn local Hamiltonians
Francisco Escudero Gutiérrez
21
2
0
09 Apr 2024
An optimal tradeoff between entanglement and copy complexity for state
  tomography
An optimal tradeoff between entanglement and copy complexity for state tomography
Sitan Chen
Jungshian Li
Allen Liu
16
7
0
26 Feb 2024
Learning unitaries with quantum statistical queries
Learning unitaries with quantum statistical queries
Armando Angrisani
15
6
0
03 Oct 2023
Learning Quantum Processes with Quantum Statistical Queries
Learning Quantum Processes with Quantum Statistical Queries
Chirag Wadhwa
Mina Doosti
24
3
0
03 Oct 2023
Tight bounds on Pauli channel learning without entanglement
Tight bounds on Pauli channel learning without entanglement
Senrui Chen
Changhun Oh
Sisi Zhou
Hsin-Yuan Huang
Liang Jiang
6
14
0
23 Sep 2023
Classical Verification of Quantum Learning
Classical Verification of Quantum Learning
Matthias C. Caro
M. Hinsche
M. Ioannou
A. Nietner
R. Sweke
13
5
0
08 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning
Transition Role of Entangled Data in Quantum Machine Learning
Xinbiao Wang
Yuxuan Du
Zhuozhuo Tu
Yong Luo
Xiao Yuan
Dacheng Tao
18
8
0
06 Jun 2023
A survey on the complexity of learning quantum states
A survey on the complexity of learning quantum states
Anurag Anshu
Srinivasan Arunachalam
11
66
0
31 May 2023
Efficient information recovery from Pauli noise via classical shadow
Efficient information recovery from Pauli noise via classical shadow
Yifei Chen
Zhan Yu
Chenghong Zhu
Xin Wang
10
1
0
06 May 2023
The power and limitations of learning quantum dynamics incoherently
The power and limitations of learning quantum dynamics incoherently
Sofiene Jerbi
Joe Gibbs
Manuel S. Rudolph
Matthias C. Caro
Patrick J. Coles
Hsin-Yuan Huang
Zoë Holmes
13
14
0
22 Mar 2023
Learning to predict arbitrary quantum processes
Learning to predict arbitrary quantum processes
Hsin-Yuan Huang
Sitan Chen
J. Preskill
37
63
0
26 Oct 2022
Out-of-distribution generalization for learning quantum dynamics
Out-of-distribution generalization for learning quantum dynamics
Matthias C. Caro
Hsin-Yuan Huang
Nic Ezzell
Joe Gibbs
A. Sornborger
L. Cincio
Patrick J. Coles
Zoë Holmes
OODD
OOD
17
83
0
21 Apr 2022
A Hierarchy for Replica Quantum Advantage
A Hierarchy for Replica Quantum Advantage
Sitan Chen
Jordan S. Cotler
Hsin-Yuan Huang
J. Li
46
23
0
10 Nov 2021
On the statistical complexity of quantum circuits
On the statistical complexity of quantum circuits
Kaifeng Bu
D. E. Koh
Lu Li
Qingxian Luo
Yaobo Zhang
40
43
0
15 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang
R. Kueng
J. Preskill
63
211
0
07 Jan 2021
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