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Trapped Ion Quantum Computing
Superconducting Qubits
Time-Dependent Hamiltonian Reconstruction using Continuous Weak Measurements
arXiv
Authors: Karthik Siva, Gerwin Koolstra, John Steinmetz, William P. Livingston, Debmalya Das, Larry Chen, John Mark Kreikebaum, Noah Stevenson, Christian Jünger, David I. Santiago, Irfan Siddiqi, Andrew N. Jordan
Year
2022
Paper ID
57343
Status
Preprint
Abstract Read
~2 min
Abstract Words
182
Citations
N/A
Abstract
Reconstructing the Hamiltonian of a quantum system is an essential task for characterizing and certifying quantum processors and simulators. Existing techniques either rely on projective measurements of the system before and after coherent time evolution and do not explicitly reconstruct the full time-dependent Hamiltonian or interrupt evolution for tomography. Here, we experimentally demonstrate that an a priori unknown, time-dependent Hamiltonian can be reconstructed from continuous weak measurements concurrent with coherent time evolution in a system of two superconducting transmons coupled by a flux-tunable coupler. In contrast to previous work, our technique does not require interruptions, which would distort the recovered Hamiltonian. We introduce an algorithm which recovers the Hamiltonian and density matrix from an incomplete set of continuous measurements and demonstrate that it reliably extracts amplitudes of a variety of single qubit and entangling two qubit Hamiltonians. We further demonstrate how this technique reveals deviations from a theoretical control Hamiltonian which would otherwise be missed by conventional techniques. Our work opens up novel applications for continuous weak measurements, such as studying non-idealities in gates, certifying analog quantum simulators, and performing quantum metrology.
Why This Paper Matters
- This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
- It adds a 2022 reference point for readers tracking recent quantum research.
- Reconstructing the Hamiltonian of a quantum system is an essential task for characterizing and certifying quantum processors and simulators.
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