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Imperfect Graphs from Unitary Matrices -- I

Wesley Lewis, Darsh Pareek, Umesh Kumar, Ravi Janjam

TL;DR

This paper deliberately discard probability amplitudes and phase information to isolate the connectivity and reachability properties of the operator, and introduces a generalized graph-theoretic framework for analyzing quantum operators by mapping unitary matrices to directed graphs.

Abstract

Matrix representations of quantum operators are computationally complete but often obscure the structural topology of information flow within a quantum circuit \cite{nielsen2000}. In this paper, we introduce a generalized graph-theoretic framework for analyzing quantum operators by mapping unitary matrices to directed graphs; we term these structures \emph{Imperfect Graphs} or more formally as \emph{Topological Structure of Superpositions}(TSS) as a tool to devise better Quantum Algorithms. In this framework, we represent computational basis states as vertices. A directed edge exists between two vertices if and only if there is a non-zero amplitude transition between them, effectively mapping the support of the unitary operator. In this paper we deliberately discard probability amplitudes and phase information to isolate the connectivity and reachability properties of the operator. We demonstrate how TSS intuitively helps describe gates such as the Hadamard, Pauli-(X,Y,Z) gates, etc \cite{nielsen2000}. This framework provides a novel perspective for viewing quantum circuits as discrete dynamical systems \cite{childs2009,aharonov2001} Keywords: Quantum Algorithms, Unitary Matrix Approach, Topological Structure of Superpositions (TSS), Graph Theory

Imperfect Graphs from Unitary Matrices -- I

TL;DR

This paper deliberately discard probability amplitudes and phase information to isolate the connectivity and reachability properties of the operator, and introduces a generalized graph-theoretic framework for analyzing quantum operators by mapping unitary matrices to directed graphs.

Abstract

Matrix representations of quantum operators are computationally complete but often obscure the structural topology of information flow within a quantum circuit \cite{nielsen2000}. In this paper, we introduce a generalized graph-theoretic framework for analyzing quantum operators by mapping unitary matrices to directed graphs; we term these structures \emph{Imperfect Graphs} or more formally as \emph{Topological Structure of Superpositions}(TSS) as a tool to devise better Quantum Algorithms. In this framework, we represent computational basis states as vertices. A directed edge exists between two vertices if and only if there is a non-zero amplitude transition between them, effectively mapping the support of the unitary operator. In this paper we deliberately discard probability amplitudes and phase information to isolate the connectivity and reachability properties of the operator. We demonstrate how TSS intuitively helps describe gates such as the Hadamard, Pauli-(X,Y,Z) gates, etc \cite{nielsen2000}. This framework provides a novel perspective for viewing quantum circuits as discrete dynamical systems \cite{childs2009,aharonov2001} Keywords: Quantum Algorithms, Unitary Matrix Approach, Topological Structure of Superpositions (TSS), Graph Theory
Paper Structure (14 sections, 10 equations, 12 figures, 1 table)

This paper contains 14 sections, 10 equations, 12 figures, 1 table.

Figures (12)

  • Figure 1: Multiplicity histogram for tensor product of Berkeley $\otimes$ Berkeley [\ref{['sec:bb']},\ref{['fig:bb_full']},\ref{['fig:bb_node']}]
  • Figure 2: Multiplicity histogram for Berkeley $\otimes$ Swap Alpha 1/2
  • Figure 3: TSS Graph: Berkeley $\otimes$ Berkeley
  • Figure 4: TSS Graph: Grover 2-qubit [\ref{['eq:gr4']}]
  • Figure 5: TSS Graph: Grover [\ref{['eq:gr4']}]$\;\otimes\; P_x$
  • ...and 7 more figures