Quantum Signal Processing with the one-dimensional quantum Ising model
V. M. Bastidas, S. Zeytino\u{g}lu, Z. M. Rossi, I. L. Chuang, and W., J. Munro

TL;DR
This paper develops Quantum Signal Processing protocols for the infinite-dimensional Onsager Lie Algebra, enabling manipulation of quantum systems like the transverse field Ising model and connecting QSP with NISQ-era quantum protocols.
Contribution
It introduces QSP sequences tailored for the Onsager algebra in the Heisenberg picture, exploiting emergent SU(2) structure in momentum space for quantum simulation and control.
Findings
Demonstrates QSP sequences for Onsager algebra in quantum systems.
Connects QSP techniques with NISQ protocols and noisy quantum devices.
Provides applications in quantum simulation, control, and space-time dual circuits.
Abstract
Quantum Signal Processing (QSP) has emerged as a promising framework to manipulate and determine properties of quantum systems. QSP not only unifies most existing quantum algorithms but also provides tools to discover new ones. Quantum signal processing is applicable to single- or multi-qubit systems that can be qubitized so one can exploit the SU structure of system evolution within special invariant two-dimensional subspaces. In the context of quantum algorithms, this SU structure is artificially imposed on the system through highly nonlocal evolution operators that are difficult to implement on near-term quantum devices. In this work, we propose QSP protocols for the infinite-dimensional Onsager Lie Algebra, which is relevant to the physical dynamics of quantum devices that can simulate the transverse field Ising model. To this end, we consider QSP sequences in the…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Computational Physics and Python Applications
