Quantum State Tomography

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Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (45 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging
  5 Nov 2023 2 repositories listed
  For the Poisson inverse problem, our algorithm attains an ε-optimal solution in Õ(d²/ε²) time, matching the state of the art, where d denotes the dimension.
• Learning quantum states and unitaries of bounded gate complexity
  30 Oct 2023 1 repository listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  While quantum state tomography is notoriously hard, most states hold little interest to practically-minded tomographers.
• MORE: Measurement and Correlation Based Variational Quantum Circuit for Multi-classification
  21 Jul 2023 1 repository listed
  MORE adopts the same variational ansatz as binary classifiers while performing multi-classification by fully utilizing the quantum information of a single readout qubit.
• Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography
  23 Nov 2022 1 repository listed
  In maximum-likelihood quantum state tomography, both the sample size and dimension grow exponentially with the number of qubits.
• NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
  20 Dec 2021 1 repository listed Syntology ran 0 of 8 samples · 8 unverified
  We introduce version 3 of NetKet, the machine learning toolbox for many-body quantum physics.
• Classification and reconstruction of optical quantum states with deep neural networks
  3 Dec 2020 1 repository listed
  For pure states with additive or convolutional Gaussian noise, the QST-CGAN is able to adapt to the noise and reconstruct the underlying state.
• Quantum State Tomography with Conditional Generative Adversarial Networks
  7 Aug 2020 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  We augment a CGAN with custom neural-network layers that enable conversion of output from any standard neural network into a physical density matrix.
• Self-Concordant Analysis of Frank-Wolfe Algorithms
  11 Feb 2020 1 repository listed
  Projection-free optimization via different variants of the Frank-Wolfe (FW), a.
• Self-concordant analysis of Frank-Wolfe algorithm
  1 Jan 2020 1 repository listed
  Projection-free optimization via different variants of the Frank-Wolfe (FW) method has become one of the cornerstones in optimization for machine learning since in many cases the linear minimization oracle is much…
• Variational Quantum Circuits for Quantum State Tomography
  16 Dec 2019 1 repository listed
  We demonstrate our method by performing numerical simulations for the tomography of the ground state of a one-dimensional quantum spin chain, using a variational quantum circuit simulator.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.