@article {3251, title = {Random Pulse Sequences for Qubit Noise Spectroscopy}, year = {2023}, month = {3/2/2023}, abstract = {

Qubit noise spectroscopy is an important tool for the experimental investigation of open quantum systems. However, conventional techniques for implementing noise spectroscopy are time-consuming, because they require multiple measurements of the noise spectral density at different frequencies. Here we describe an alternative method for quickly characterizing the spectral density. Our method utilizes random pulse sequences, with carefully-controlled correlations among the pulses, to measure arbitrary linear functionals of the noise spectrum. Such measurements allow us to estimate k\&$\#$39;th-order moments of the noise spectrum, as well as to reconstruct sparse noise spectra via compressed sensing. Our simulations of the performance of the random pulse sequences on a realistic physical system, self-assembled quantum dots, reveal a speedup of an order of magnitude in extracting the noise spectrum compared to conventional dynamical decoupling approaches.

}, url = {https://arxiv.org/abs/2303.00909}, author = {Kaixin Huang and Demitry Farfurnik and Alireza Seif and Mohammad Hafezi and Yi-Kai Liu} } @article {2138, title = {Recovering quantum gates from few average gate fidelities}, journal = {Phys. Rev. Lett. }, volume = {121}, year = {2018}, month = {2018/03/01}, pages = {170502}, abstract = {

Characterising quantum processes is a key task in and constitutes a challenge for the development of quantum technologies, especially at the noisy intermediate scale of today\&$\#$39;s devices. One method for characterising processes is randomised benchmarking, which is robust against state preparation and measurement (SPAM) errors, and can be used to benchmark Clifford gates. A complementing approach asks for full tomographic knowledge. Compressed sensing techniques achieve full tomography of quantum channels essentially at optimal resource efficiency. So far, guarantees for compressed sensing protocols rely on unstructured random measurements and can not be applied to the data acquired from randomised benchmarking experiments. It has been an open question whether or not the favourable features of both worlds can be combined. In this work, we give a positive answer to this question. For the important case of characterising multi-qubit unitary gates, we provide a rigorously guaranteed and practical reconstruction method that works with an essentially optimal number of average gate fidelities measured respect to random Clifford unitaries. Moreover, for general unital quantum channels we provide an explicit expansion into a unitary 2-design, allowing for a practical and guaranteed reconstruction also in that case. As a side result, we obtain a new statistical interpretation of the unitarity -- a figure of merit that characterises the coherence of a process. In our proofs we exploit recent representation theoretic insights on the Clifford group, develop a version of Collins\&$\#$39; calculus with Weingarten functions for integration over the Clifford group, and combine this with proof techniques from compressed sensing.

}, doi = {https://doi.org/10.1103/PhysRevLett.121.170502}, url = {https://arxiv.org/abs/1803.00572}, author = {Ingo Roth and Richard Kueng and Shelby Kimmel and Yi-Kai Liu and David Gross and Jens Eisert and Martin Kliesch} }