Results 11 to 20 of about 76,745 (286)
Efficient quantum state tomography [PDF]
Nature Communications, 2010 Quantum state tomography-deducing quantum states from measured data-is the gold standard for verification and benchmarking of quantum devices. It has been realized in systems with few components, but for larger systems it becomes unfeasible because the number of measurements and the amount of computation required to process them grows exponentially in ...
Cramer M. +8 more
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New Journal of Physics, 2023 Quantum state tomography (QST) is essential for characterizing unknown quantum states. Several methods of estimating quantum states already exist and can be classified mainly into three broad classes.
Subhadeep Mondal, Amit Kumar Dutta
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Variational Quantum Process Tomography of Non-Unitaries
Entropy, 2023 Quantum process tomography is a fundamental and critical benchmarking and certification tool that is capable of fully characterizing an unknown quantum process.
Shichuan Xue +4 more
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Precision-Guaranteed Quantum Tomography [PDF]
Physical Review Letters, 2013 Quantum state tomography is the standard tool in current experiments for verifying that a state prepared in the lab is close to an ideal target state, but up to now there were no rigorous methods for evaluating the precision of the state preparation in tomographic experiments. We propose a new estimator for quantum state tomography, and prove that the (
Sugiyama, Takanori +2 more
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Permutationally Invariant Quantum Tomography [PDF]
Physical Review Letters, 2010 4 pages including 5 figures, 3-page appendix with 2 figures, revtex4; v2: shortened, some references added; v3: Observation 2 improved, extension to many qubits discussed; v4: more details added to the Appendix, published ...
Gross, D. +5 more
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Benchmarking quantum tomography completeness and fidelity with machine learning
New Journal of Physics, 2021 We train convolutional neural networks to predict whether or not a set of measurements is informationally complete to uniquely reconstruct any given quantum state with no prior information.
Yong Siah Teo +10 more
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On the Experimental Feasibility of Quantum State Reconstruction via Machine Learning
IEEE Transactions on Quantum Engineering, 2021 We determine the resource scaling of machine learning-based quantum state reconstruction methods, in terms of inference and training, for systems of up to four qubits when constrained to pure states.
Sanjaya Lohani +3 more
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Quantum Overlapping Tomography
Physical Review Letters, 2020 It is now experimentally possible to entangle thousands of qubits, and efficiently measure each qubit in parallel in a distinct basis. To fully characterize an unknown entangled state of $n$ qubits, one requires an exponential number of measurements in $n$, which is experimentally unfeasible even for modest system sizes.
Jordan Cotler, Frank Wilczek
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New Journal of Physics, 2023 We designed and experimentally demonstrated a silicon photonics-integrated time-domain balanced homodyne detector (TBHD), containing an optical part of dimensions of 1.5 mm × 0.4 mm.
Yanxiang Jia +10 more
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Adaptive quantum homodyne tomography [PDF]
Physical Review A, 1999 An adaptive optimization technique to improve precision of quantum homodyne tomography is presented. The method is based on the existence of so-called null functions, which have zero average for arbitrary state of radiation. Addition of null functions to the tomographic kernels does not affect their mean values, but changes statistical errors, which ...
D'Ariano, Giacomo M. +1 more
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