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Quantum state preparation via piecewise QSVT
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abstract
Efficient state preparation is essential for implementing efficient quantum algorithms. Whilst several techniques for low-cost state preparation exist, this work facilitates further classes of states, whose amplitudes are well approximated by piecewise polynomials. We show how such states can be efficiently prepared using a piecewise Quantum Singular Value Transformation along with a new piecewise linear diagonal block encoding. We illustrate this with the explicit examples of $x^\alpha|x\rangle$ and $\log x|x\rangle$. Further, our technique reduces the cost of window boosted Quantum Phase Estimation by efficiently preparing the B-spline window state. We demonstrate this window state requires 50 times fewer Toffolis to prepare than the state-of-the-art Kaiser window state, and we show that the B-spline window replicates the Kaiser window's exponential reduction in tail probability for QPE.
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Comprehensive Study on Heisenberg-limited Quantum Algorithms for Multiple Observables Estimation
New adaptive quantum gradient estimation variants (Method I and Method II) achieve O~(N^{k/2})/epsilon state-preparation queries for fermionic k-RDMs, and a sine-state amplitude estimation circuit is shown to be near-...
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