Circuit quantization in Hamiltonian framework: a constraint analysis approach

In this work, we use Dirac’s constraint analysis (DCA) to solve superconducting quantum circuits (SQCs). The Lagrangian of an SQC reveals the constraints that are classified in a Hamiltonian framework, such that redundant variables can be removed to isolate the canonical degrees of freedom for subsequent quantization of the Dirac brackets. We demonstrate the robustness of DCA unlike certain other set of ideas like null vector and loop charge which are each applicable only to specific types of quantum circuits.

Authors

Institutions

Publication Details

Journal
Academia quantum.
Published
2024-11-06
DOI
https://doi.org/10.20935/acadquant7399
Citations
1
Primary Topic
Low-power high-performance VLSI design
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Circuit quantization in Hamiltonian framework: a constraint analysis approach

Akshat Pandey, Subir Ghosh
1 citations
Academia quantum.
Low-power high-performance VLSI design
0.21
article

Circuit quantization in Hamiltonian framework: a constraint analysis approach

Akshat Pandey, Subir Ghosh
article en
1 citations

Abstract

In this work, we use Dirac’s constraint analysis (DCA) to solve superconducting quantum circuits (SQCs). The Lagrangian of an SQC reveals the constraints that are classified in a Hamiltonian framework, such that redundant variables can be removed to isolate the canonical degrees of freedom for subsequent quantization of the Dirac brackets. We demonstrate the robustness of DCA unlike certain other set of ideas like null vector and loop charge which are each applicable only to specific types of quantum circuits.

Academia quantum.Vol. 1(1)
Indian Statistical Institute (IN)
Openalex Percentile: Top 46%
Low-power high-performance VLSI design
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.