Quantum State Tomography
11 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Quantum State Tomography
Latest papers
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging
For the Poisson inverse problem, our algorithm attains an $\varepsilon$-optimal solution in $\smash{\tilde{O}}(d^2/\varepsilon^2)$ time, matching the state of the art, where $d$ denotes the dimension.
MORE: Measurement and Correlation Based Variational Quantum Circuit for Multi-classification
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
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
We introduce version 3 of NetKet, the machine learning toolbox for many-body quantum physics.
Quantum tomography benchmarking
As a validation of the proposed methodology and software, we analyzed and compared a set of QT methods.
Spin qudit tomography and state reconstruction error
We consider the task of performing quantum state tomography on a $d$-level spin qudit, using only measurements of spin projection onto different quantization axes.
Classification and reconstruction of optical quantum states with deep neural networks
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
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
Projection-free optimization via different variants of the Frank-Wolfe (FW), a. k. a.
Variational Quantum Circuits for Quantum State Tomography
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.