Quantum Crosstalk Suppression Criteria Through Filter Function Design

Managing noise in quantum systems is a necessity for achieving scalable quantum information processing. While primary error sources include unwanted interactions between a quantum system and its environment, crosstalk can also prove to be a significant source of noise for some technologies. For example, superconducting qubit architectures are known to be susceptible to crosstalk occurring via control-line interference or parasitic ZZ-type interactions between qubits. In this work, we investigate the latter and develop criteria for crosstalk suppression from within the frequency-domain perspective of the filter function formalism. We demonstrate how this criteria can be leveraged to improve simultaneous noise characterization and control of multi-qubit systems. The efficacy of the criteria is examined via numerical simulations and experimental studies on the IBM Quantum Experience.