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Utilizing Crosstalk Characterization to Optimize the Performance of Parameterized Quantum Circuits

Sep 8

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Friday, September 8, 2023 - 2:00pm to 3:00pm


Mohannad Ibrahim

Addressing quantum crosstalk is crucial for improving the performance of Noisy Intermediate Scale Quantum (NISQ) devices and making quantum computations more reliable. In this presentation, we discuss an ansatz approximation approach for variational quantum algorithms (VQAs) that uses the target hardware's crosstalk behavior as its main approximation driver. By utilizing crosstalk-adaptive scheduling, we are able to apply a circuit-level approximation/optimization to an ansatz. The design procedure involves first characterizing the hardware's crosstalk and then approximating the circuit by a desired level of crosstalk mitigation, all while effectively reducing its duration and gate counts. We analyze the effect of crosstalk mitigation on expressibility, trainability, and entanglement: key components that drive the utility of parameterized circuits and test the approach on real quantum hardware against base configurations. Results have shown superior performance for the approximated ansatz over base configurations for two quantum chemistry benchmarks. Taking into consideration that applications vary in their response to crosstalk, we believe that such approximation strategies can be used to create ansatze that are expressive, trainable, and with crosstalk mitigation levels tailored for specific workloads.---- Mohannad Ibrahim is a Quantum software engineer at Intel Labs. He received his bachelor's degree in Electronics and Computer Systems from the University of Khartoum, Sudan, and his MS and Ph.D. degrees in Computer Engineering from NC State under the supervision of Prof. Greg Byrd. His research focuses on application-centric quantum architectures and software/hardware co-design, compiler, and pulse optimizations. While at NC State, Mohannad was an NSF fellowship recipient through the Quantum Information Science and Engineering Network QISE-NET program. As a graduate student, he completed a few internships at Qualcomm, IBM, and Intel, where he worked on various projects in computer architecture and quantum computing.