Hybrid continuous-discrete-variable quantum computing: a guide to utility
A.F. Kemper, Antonios Alvertis, Muhammad Asaduzzaman, Bojko N. Bakalov, Dror Baron, Joel Bierman, Blake Burgstahler, Srikar Chundury, Elin Ranjan Das, Jim Furches, Fucheng Guo, Raghav G. Jha, Katherine Klymko, Arvin Kushwaha, Ang Li, Aishwarya Majumdar, Carlos Ortiz Marrero
TL;DR
This paper explores the hybrid continuous-discrete-variable quantum computing paradigm, highlighting its advantages, potential applications across various scientific fields, and considerations for algorithms and software development.
Contribution
It provides a comprehensive overview of the hybrid quantum computing approach, emphasizing its benefits and potential uses in physics, chemistry, and computer science.
Findings
Highlights advantages of hybrid quantum computing
Identifies potential applications in multiple scientific domains
Discusses algorithmic and software considerations
Abstract
Quantum computing has traditionally centered around the discrete variable paradigm. A new direction is the inclusion of continuous variable modes and the consideration of a hybrid continuous-discrete approach to quantum computing. In this paper, we discuss some of the advantages of this modality, and lay out a number of potential applications that can make use of it; these include applications from physics, chemistry, and computer science. We also briefly overview some of the algorithmic and software considerations for this new paradigm.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications