Experimental demonstration of composite pulses on IBM's quantum computer
Boyan T. Torosov, Nikolay V. Vitanov

TL;DR
This paper experimentally tests various composite pulse sequences on IBM's quantum computer, demonstrating their effectiveness in precise quantum control and error compensation, with high agreement between theory and experiment.
Contribution
It provides the first comprehensive experimental validation of composite pulses on a commercial quantum processor, showcasing their flexibility and high fidelity in quantum control.
Findings
Excellent agreement between theoretical and experimental excitation profiles.
Successful implementation of complex composite pulses with up to 1001 pulses.
Demonstration of composite pulses as an efficient error-compensation tool.
Abstract
We perform comprehensive experimental tests of various composite pulse sequences using one of open-access IBM's quantum processors, based on superconducting transmon qubits. We implement explicit pulse control of the qubit by making use of the opportunity of low-level access to the backend, provided by IBM Quantum. We obtain the excitation profiles for a huge variety of broadband, narrowband, and passband composite pulses, producing any pre-chosen target probabilities, ranging from zero to one. We also test universal composite pulses which compensate errors in any experimental parameter. In all experiments, we find excellent agreement between theoretical and experimental excitation profiles. This proves both the composite pulses as a very efficient and flexible quantum control tool and the high quality of the IBM quantum processor. As an extreme example, we test and observe a pronounced…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Neural Networks and Reservoir Computing
