Abstract Quantum simulation is a key near-term application of quantum computing. I will present several recent advancements in quantum simulation techniques and error mitigation. I will discuss error mitigation strategies for estimating expectation values of local observables, where we introduce a new Probabilistic Error Cancellation (PEC) estimator leveraging light-cone structures to drastically reduce sampling overhead.…
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Abstract Among the principal challenge facing scalability in ion trap quantum computers is the full integration of optics, digital electronics, and through-wafer vias into the trap chip. I will discuss Oxford Ionics' strategy for developing ion trap quantum computers with 100s-1000s of ions, then describe some of the methodologies for designing large-scale ion trap electrode… |
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Abstract Parameterized quantum circuits serve as ansätze for solving variational problems and provide a flexible paradigm for programming near-term quantum computers. Here we discuss three fundamental criteria for this paradigm to be effective: expressibility, trainability and generalizability. We will introduce these concepts and present recent analytic progress quantifying to what extent these criteria can be… |
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