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Quantum state preparation without coherent arithmetic

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arxiv 2210.14892 v2 pith:WNWVN642 submitted 2022-10-26 quant-ph

classification quant-ph
keywords functionmethodquantumapproachesarithmeticpolynomialpreparingstate
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We introduce a versatile method for preparing a quantum state whose amplitudes are given by some known function. Unlike existing approaches, our method does not require handcrafted reversible arithmetic circuits, or quantum table reads, to encode the function values. Instead, we use a template quantum eigenvalue transformation circuit to convert a low cost block encoding of the sine function into the desired function. Our method uses only 4 ancilla qubits (3 if the approximating polynomial has definite parity), providing order-of-magnitude qubit count reductions compared to state-of-the-art approaches, while using a similar number of gates if the function can be well represented by a polynomial or Fourier approximation. Like black-box methods, the complexity of our approach depends on the 'L2-norm filling-fraction' of the function. We demonstrate the algorithmic utility of our method, including preparing Gaussian and Kaiser window states.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

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    A query-optimal quantum algorithm for non-unitary linear dynamics using generalized LCHS with approximate exponential-decay kernels and exponentially convergent uniform quadrature.

  2. Quantum phase estimation with optimal confidence interval using three control qubits

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    A DPSS control state for optimal-confidence quantum phase estimation can be approximated by a bond-dimension-4 matrix product state and prepared with only three recycling control qubits.

  3. A framework for robust quantum speedups in practical correlated electronic structure and dynamics

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  4. Qubit-Efficient Quantum Algorithm for Linear Differential Equations

    quant-ph 2025-07 conditional novelty 5.0 of 10

    A single-ancilla postselection algorithm solves dissipative linear ODEs with first-order error bounds and locality-preserving circuit structure.

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