Sequential Quantum Computing
Sebasti\'an V. Romero, Alejandro Gomez Cadavid, Enrique Solano, Narendra N. Hegade

TL;DR
Sequential quantum computing (SQC) combines different quantum processors in hybrid workflows to overcome individual limitations, demonstrated by solving a complex optimization problem more efficiently than standalone devices.
Contribution
This paper introduces the SQC paradigm, experimentally validating it by integrating quantum annealers and digital quantum processors for enhanced problem-solving capabilities.
Findings
SQC reduces computational resources needed.
It improves solution quality over individual processors.
Demonstrated on a combinatorial optimization problem.
Abstract
We propose and experimentally demonstrate sequential quantum computing (SQC), a paradigm that utilizes multiple homogeneous or heterogeneous quantum processors in hybrid classical-quantum workflows. In this manner, we are able to overcome the limitations of each type of quantum computer by combining their complementary strengths. Current quantum devices, including analog quantum annealers and digital quantum processors, offer distinct advantages, yet face significant practical constraints when individually used. SQC addresses this by efficient inter-processor transfer of information through bias fields. Consequently, measurement outcomes from one quantum processor are encoded in the initial-state preparation of the subsequent quantum computer. We experimentally validate SQC by solving a combinatorial optimization problem with interactions up to three-body terms. A D-Wave quantum…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Mechanics and Applications · Computability, Logic, AI Algorithms
