Simplifying a classical-quantum algorithm interpolation with quantum singular value transformations

TL;DR

This paper demonstrates that the interpolation between classical and quantum algorithms for phase estimation can be naturally understood and simplified using Quantum Singular Value Transformation, providing new insights into the trade-offs involved.

Contribution

The authors show that QSVT offers a succinct framework to derive and interpret the interpolation parameters of $oldsymbol{ extalpha}$-QPE, simplifying previous proofs and insights.

Findings

QSVT provides a natural derivation of $ extalpha$-QPE scaling

Better polynomial approximation reduces sample complexity

QSVT offers a promising framework for classical-quantum interpolation

Abstract

The problem of Phase Estimation (or Amplitude Estimation) admits a quadratic quantum speedup. Wang, Higgott and Brierley [2019, Phys. Rev. Lett. 122 140504] have shown that there is a continuous trade-off between quantum speedup and circuit depth (by defining a family of algorithms known as $\alpha$-QPE). In this work, we show that the scaling of $\alpha$-QPE can be naturally and succinctly derived within the framework of Quantum Singular Value Transformation (QSVT). From the QSVT perspective, a greater number of coherent oracle calls translates into a better polynomial approximation to the sign function, which is the key routine for solving Phase Estimation. The better the approximation to the sign function, the fewer samples one needs to determine the sign accurately. With this idea, we simplify the proof of $\alpha$-QPE, while providing a new interpretation of the interpolation parameters, and show that QSVT is a promising framework for reasoning about classical-quantum interpolations.