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The power and limitations of learning quantum dynamics incoherently

The power and limitations of learning quantum dynamics incoherently

22 March 2023
Sofiene Jerbi
Joe Gibbs
Manuel S. Rudolph
Matthias C. Caro
Patrick J. Coles
Hsin-Yuan Huang
Zoë Holmes
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Papers citing "The power and limitations of learning quantum dynamics incoherently"

12 / 12 papers shown
Title
Exact gradients for linear optics with single photons
Exact gradients for linear optics with single photons
Giorgio Facelli
David D. Roberts
Hugo Wallner
Alexander Makarovskiy
Zoë Holmes
William R. Clements
17
4
0
24 Sep 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
Separable Power of Classical and Quantum Learning Protocols Through the
  Lens of No-Free-Lunch Theorem
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
25
1
0
12 May 2024
Learning shallow quantum circuits
Learning shallow quantum circuits
Hsin-Yuan Huang
Yunchao Liu
Michael Broughton
Isaac Kim
Anurag Anshu
Zeph Landau
Jarrod R. McClean
17
26
0
18 Jan 2024
Does provable absence of barren plateaus imply classical simulability?
  Or, why we need to rethink variational quantum computing
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing
M. Cerezo
Martín Larocca
Diego García-Martín
N. L. Diaz
Paolo Braccia
...
Pablo Bermejo
Aroosa Ijaz
Supanut Thanasilp
Eric R. Anschuetz
Zoë Holmes
22
123
0
14 Dec 2023
Quantum Next Generation Reservoir Computing: An Efficient Quantum
  Algorithm for Forecasting Quantum Dynamics
Quantum Next Generation Reservoir Computing: An Efficient Quantum Algorithm for Forecasting Quantum Dynamics
Apimuk Sornsaeng
Ninnat Dangniam
Thiparat Chotibut
16
7
0
28 Aug 2023
Understanding quantum machine learning also requires rethinking
  generalization
Understanding quantum machine learning also requires rethinking generalization
Elies Gil-Fuster
Jens Eisert
Carlos Bravo-Prieto
17
43
0
23 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
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
Subtleties in the trainability of quantum machine learning models
Subtleties in the trainability of quantum machine learning models
Supanut Thanasilp
Samson Wang
Nhat A. Nghiem
Patrick J. Coles
M. Cerezo
17
59
0
27 Oct 2021
Long-time simulations with high fidelity on quantum hardware
Long-time simulations with high fidelity on quantum hardware
Joe Gibbs
Kaitlin Gili
Zoë Holmes
Benjamin Commeau
A. Arrasmith
L. Cincio
Patrick J. Coles
A. Sornborger
42
53
0
08 Feb 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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