Stabilization and Dissipative Information Transfer of a Superconducting Kerr-Cat Qubit

Abstract

Today, the competition to build a quantum computer continues, and the number of qubits in hardware is increasing rapidly. However, the quantum noise that comes with this process reduces the performance of algorithmic applications, so alternative ways in quantum computer architecture and implementation of algorithms are discussed on the one hand. One of these alternative ways is the hybridization of the circuit-based quantum computing model with the dissipative-based computing model. Here, the goal is to apply the part of the algorithm that provides the quantum advantage with the quantum circuit model, and the remaining part with the dissipative model, which is less affected by noise. This scheme is of importance to quantum machine learning algorithms that involve highly repetitive processes and are thus susceptible to noise. In this study, we examine dissipative information transfer to a qubit model called Cat-Qubit. This model is especially important for the dissipative-based version of the binary quantum classification, which is the basic processing unit of quantum machine learning algorithms. On the other hand, Cat-Qubit architecture, which has the potential to easily implement activation-like functions in artificial neural networks due to its rich physics, also offers an alternative hardware opportunity for quantum artificial neural networks. Numerical calculations exhibit successful transfer of quantum information from reservoir qubits by a repeated-interactions-based dissipative scheme.

arXiv comment8 pages, 5 figures

References in corpus (28)

• Quantum Computing in the NISQ era and beyond
• QuTiP 2: A Python framework for the dynamics of open quantum systems
• Circuit Quantum Electrodynamics
• A Quantum Engineer's Guide to Superconducting Qubits
• Coupling Superconducting Qubits via a Cavity Bus
• Circuit-centric quantum classifiers
• Dynamically protected cat-qubits: a new paradigm for universal quantum computation
• Macroscopically distinct quantum superposition states as a bosonic code for amplitude damping
• The Kerr-Cat Qubit: Stabilization, Readout, and Gates
• Quantum information processing for a coherent superposition state via a mixed entangled coherent channel
• Engineering the quantum states of light in a Kerr-nonlinear resonator by two-photon driving
• Thermalizing Quantum Machines: Dissipation and Entanglement
• Implementing a Universal Gate Set on a Logical Qubit Encoded in an Oscillator
• Dividing Quantum Channels
• Bosonic quantum error correction codes in superconducting quantum circuits
• Bias-preserving gates with stabilized cat qubits
• Weak force detection with superposed coherent states
• Coherent oscillations inside a quantum manifold stabilized by dissipation
• Stabilized Cat in Driven Nonlinear Cavity: A Fault-Tolerant Error Syndrome Detector
• Quantum Repeaters using Coherent-State Communication
• Collision models in open system dynamics: A versatile tool for deeper insights?
• Divisibility of quantum dynamical maps and collision models
• A flying Schrödinger cat in multipartite entangled states
• Adding dynamical generators in quantum master equations
• Stabilizing a Bosonic Qubit using Colored Dissipation
• General structure of quantum collisional models
• A steady state quantum classifier
• A quantum collisional classifier driven by information reservoir