Supersymmetry-Driven Quantum Gate Design Based on Feynman Path Integral and TPCP Map Optimization
Harish Parthasarathy, Monika Aggarwal, Kumar Gautam

TL;DR
This paper introduces a novel approach to quantum gate design using supersymmetry and Feynman path integrals, enabling control of quantum evolution and TPCP maps through vacuum expectation manipulation and quantum filtering techniques.
Contribution
It presents a new method for controlling quantum evolution by breaking supersymmetry and designing TPCP maps based on path integrals and quantum filtering, advancing quantum gate design.
Findings
Enlarges Hilbert space dimension via supersymmetry.
Demonstrates control of quantum evolution through vacuum expectation values.
Develops a method to simulate quantum noisy field evolution.
Abstract
We use supersymmetry to enlarge the dimension of the Hilbert space on which the unitary evolution of the state of the quantum fields acts. We discuss how to control the unitary evolution or TPCP maps generated by the quantum evolution of the fields by controlling the vacuum expectations of other fields in the theory. This amounts to breaking supersymmetry using control vacuum expectation values of the other fields. The evolution of the wave functional or TPCP maps obtained by tracing out over other fields is based on the Feynman path integral formula for the fields. By using the methods of quantum stochastic filtering, we estimate the evolving state of the fields from non-demolition noise measurements and then design a family of TPCP maps evolving in time whose outputs match the estimated evolving state. In this way, we are able to simulate the evolution of the state of the quantum…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
