In a simulated three-qubit superconducting device, adversarial pulses injected into adjacent qubits can bias a sensitive coin-flip protocol while leaving an XOR classifier nearly unaffected.
First-principle crosstalk dynamics and Hamiltonian learning via Rabi experiments
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abstract
Coherent errors constitute a significant barrier to successful large-scale quantum computation. One such error mechanism is crosstalk, which violates spatial locality or the independence of operations. We present a description of crosstalk and learn the underlying parameters by executing novel simultaneous Rabi experiments and fitting the Hamiltonian to the observed data. We use this model to predict three- and four-qubit experiments and observe excellent agreement between our theoretical predictions and experimental results. Our technique enables researchers to study the dynamics of multi-qubit circuits without performing experiments, potentially facilitating the minimization of coherent gate errors via digital pulse precompilation. Additionally, this method provides whole-chip crosstalk characterization, a useful tool for guiding quantum processor design.
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Pulse-Level Simulation of Crosstalk Attacks on Superconducting Quantum Hardware
In a simulated three-qubit superconducting device, adversarial pulses injected into adjacent qubits can bias a sensitive coin-flip protocol while leaving an XOR classifier nearly unaffected.