A Multilayer Network Approach to Quantum Computing
Perry Sakkaris, Ryan Sudhakaran

TL;DR
This paper introduces a multilayer network model called Quantum Multiverse Network (QuMvN) that reformulates quantum computation, enabling classical simulation of quantum circuits and providing insights into quantum speedups.
Contribution
The paper presents the QuMvN model, a novel multilayer network approach to quantum computing, and demonstrates its effectiveness in simulating complex quantum algorithms like Shor's Algorithm.
Findings
Successfully simulated Shor's Algorithm with 70 qubits on a commodity cloud server.
QuMvN enables classical simulation of certain quantum circuits more efficiently.
Discussed the role of layers and randomized algorithms in quantum speedups.
Abstract
The circuit model of quantum computation is reformulated as a multilayer network theory [3] called a Quantum Multiverse Network (QuMvN). The QuMvN formulation allows us to interpret the quantum wave function as a combination of ergodic Markov Chains where each Markov Chain occupies a different layer in the QuMvN structure. Layers of a QuMvN are separable components of the corresponding wave function. Single qubit measurement is defined as a state transition of the Markov Chain that emits either a or making each layer of the QuMvN a Discrete Information Source. A message is equivalent to a possible measurement outcome and the message length is the number of qubits. Therefore, the quantum wave function can be treated as a combination of multiple discrete information sources analogous to what Shannon called a "mixed" information source [18]. We show the QuMvN model has significant…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications
