Abstracts

Infinite quantum signal processing

Presenting Author: Yulong Dong, University of California Berkeley
Contributing Author(s): Lin Lin Hongkang Ni Jiasu Wang

The quantum singular value transformation (QSVT) [Gilyen, Su, Low, Wiebe, STOC 2019] provides a unified viewpoint of a large class of practically useful quantum algorithms. At the heart of QSVT is a new polynomial representation, called quantum signal processing (QSP). QSP represents a degree-d polynomial using products of matrices in SU(2), parameterized by (d+1) real numbers called the phase factors. When the polynomial of interest is obtained by truncating an infinite polynomial series, a natural question is whether the phase factors have a well defined limit as $d \to \infty$. In this talk, we will show that there exists a consistent choice of the parameterization so that the limit is well defined. This generalizes QSP to represent a large class of non-polynomial functions, and this construction is referred to as infinite QSP (iQSP). We present a very simple algorithm for finding such infinitely long phase factors with provable performance guarantees. We will also show a surprising connection between the regularity of the target function and the structural properties of the phase factors.

(Session 5 : Thursday from 5:00 pm - 7:00 pm)

 

SQuInT Chief Organizer
Akimasa Miyake, Associate Professor
amiyake@unm.edu

SQuInT Co-Organizer
Hartmut Haeffner, Associate Professor, UC Berkeley
hhaeffner@berkeley.edu

SQuInT Administrator
Dwight Zier
d29zier@unm.edu
505 277-1850

SQuInT Program Committee
Alberto Alonso, Postdoc, UC Berkeley
Philip Blocher, Postdoc, UNM
Neha Yadav, Postdoc, UC Berkeley
Cunlu Zhou, Postdoc, UNM

SQuInT Founder
Ivan Deutsch, Regents' Professor, CQuIC Director
ideutsch@unm.edu

Tweet About SQuInT 2022!