Extracting Equations of Motion from Superconducting Circuits
Christian Z. Pratt, Kyle J. Ray, James P. Crutchfield

TL;DR
This paper introduces a method to efficiently derive equations of motion for superconducting circuits, enabling scalable design and analysis of complex quantum devices like QFPs for classical computation.
Contribution
It develops specialized derivation techniques and optimization methods for superconducting circuits, simplifying the process of modeling their energetics and dynamics.
Findings
Successfully reproduces the potential energy landscape of QFPs
Demonstrates coupling of two QFPs for 2-bit computation
Provides a foundation for designing universal logic gates
Abstract
Alternative computing paradigms open the door to exploiting recent innovations in computational hardware to probe the fundamental thermodynamic limits of information processing. One such paradigm employs superconducting quantum interference devices (SQUIDs) to execute classical computations. This, though, requires constructing sufficiently complex superconducting circuits that support a suite of useful information processing tasks and storage operations, as well as understanding these circuits' energetics. First-principle circuit design, though, leads to prohibitive algebraic complications when deriving the effective equations of motion -- complications that to date have precluded achieving these goals, let alone doing so efficiently. We circumvent these complications by (i) specializing our class of circuits and physical operating regimes, (ii) synthesizing existing derivation…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing · Quantum and electron transport phenomena
