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Physical Review Applied, 2023
Schr\"odinger's equation serves as a fundamental component in characterizing quantum systems, wherein both quantum state tomography and Hamiltonian learning are instrumental in comprehending and interpreting quantum systems.
Zheng An +4 more
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Schr\"odinger's equation serves as a fundamental component in characterizing quantum systems, wherein both quantum state tomography and Hamiltonian learning are instrumental in comprehending and interpreting quantum systems.
Zheng An +4 more
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Quantum State Tomography in FPGA
Optica Quantum 2.0 Conference and Exhibition, 2023We demonstrate an efficient solution for quantum state tomography implemented on FPGA. By observing the closed-form solution for complete measurement sets, we create a simple, accurate, reconfigurable solution for multi-qubit quantum states.
Nathan Eli Miller, Saibal Mukhopadhyay
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Neural-network quantum state tomography
Nature Physics, 2017The experimental realization of increasingly complex synthetic quantum systems calls for the development of general theoretical methods to validate and fully exploit quantum resources.
G. Torlai +5 more
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Gradient-descent methods for fast quantum state tomography
Quantum Science and TechnologyQuantum state tomography (QST) is a widely employed technique for characterizing the state of a quantum system. However, it is plagued by two fundamental challenges: computational and experimental complexity grows exponentially with the number of qubits,
Akshay Gaikwad +3 more
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Coherent-State Quantum Process Tomography
AIP Conference Proceedings, 2009The technologies of quantum information and quantum control are rapidly improving, but full exploitation of their capabilities requires complete characterization and assessment of processes that occur within quantum devices. We present a method for characterizing, with arbitrarily high accuracy, any quantum optical process.
Mirko Lobino +6 more
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Optimal lower bounds for quantum state tomography
arXiv.orgWe show that $n = \Omega(rd/\varepsilon^2)$ copies are necessary to learn a rank $r$ mixed state $\rho \in \mathbb{C}^{d \times d}$ up to error $\varepsilon$ in trace distance.
Thilo Scharnhorst +2 more
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Experimental Sample-Efficient Quantum State Tomography via Parallel Measurements.
Physical Review LettersQuantum state tomography (QST) via local measurements on reduced density matrices (LQST) is a promising approach but becomes impractical for large systems.
Chang-Kang Hu +13 more
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Quantum state tomography across the exceptional point in a single dissipative qubit
Nature Physics, 2019Open physical systems can be described by effective non-Hermitian Hamiltonians that characterize the gain or loss of energy or particle numbers from the system.
M. Naghiloo +3 more
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On how neural networks enhance quantum state tomography with limited resources*
IEEE Conference on Decision and Control, 2021Quantum state tomography is defined as a process of reconstructing the density matrix of a quantum state and is an important task for various emerging quantum technologies.
Hailan Ma, Daoyi Dong, I. Petersen
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Threshold Quantum State Tomography
CLEO 2024We introduce a new approach to quantum state tomography (QST) in which the number of measurements can be dramatically smaller than in traditional QST without compromising fidelity. We show experimental results up to 7 qubits.
Daniele Binosi +4 more
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