Learning quantum systems
The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …
quantum systems of increasing complexity, with key applications in computation, simulation …
Tensor network noise characterization for near-term quantum computers
Characterization of noise in current near-term quantum devices is of paramount importance
to fully use their computational power. However, direct quantum process tomography …
to fully use their computational power. However, direct quantum process tomography …
Extended quantum process tomography of logical operations on an encoded bosonic qubit
We demonstrate the use of coherent-state quantum process tomography (csQPT) for a
bosonic-mode superconducting circuit. We have enhanced our methodology over previous …
bosonic-mode superconducting circuit. We have enhanced our methodology over previous …
Finding quantum codes via Riemannian optimization
We propose a novel optimization scheme designed to find optimally correctable subspace
codes for a known quantum noise channel. To each candidate subspace code we first …
codes for a known quantum noise channel. To each candidate subspace code we first …
Efficient learning of mixed-state tomography for photonic quantum walk
QQ Wang, S Dong, XW Li, XY Xu, C Wang, S Han… - Science …, 2024 - science.org
Noise-enhanced applications in open quantum walk (QW) has recently seen a surge due to
their ability to improve performance. However, verifying the success of open QW is …
their ability to improve performance. However, verifying the success of open QW is …
Quantum channel learning
The problem of an optimal map** between Hilbert spaces IN and OUT, based on a series
of density matrix map** measurements ρ (l)→ ϱ (l), l= 1⋯ M, is formulated as an …
of density matrix map** measurements ρ (l)→ ϱ (l), l= 1⋯ M, is formulated as an …
Machine learning of reduced quantum channels on noisy intermediate-scale quantum devices
Worldwide efforts aim at the realization of advanced quantum simulators and processors.
However, despite the development of intricate hardware and pulse control systems, it may …
However, despite the development of intricate hardware and pulse control systems, it may …
Learning the tensor network model of a quantum state using a few single-qubit measurements
The constantly increasing dimensionality of artificial quantum systems demands for highly
efficient methods for their characterization and benchmarking. Conventional quantum …
efficient methods for their characterization and benchmarking. Conventional quantum …
Transformer models for quantum gate set tomography
Quantum computation represents a promising frontier in the domain of high-performance
computing, blending quantum information theory with practical applications to overcome the …
computing, blending quantum information theory with practical applications to overcome the …
Multipass quantum process tomography
SG Stanchev, NV Vitanov - Scientific Reports, 2024 - nature.com
We introduce a method to enhance the precision and accuracy of Quantum Process
Tomography (QPT) by mitigating the errors caused by state preparation and measurement …
Tomography (QPT) by mitigating the errors caused by state preparation and measurement …