Thermally-induced qubit coherence in quantum electromechanics

Abari, Najmeh Etehadi; Rakhubovsky, Andrey A.; Filip, Radim

doi:10.1088/1367-2630/ac9a66

Cited by 5 publications

(1 citation statement)

References 76 publications

(116 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Beyond this regime however, thermal enhancement of the maximum achievable value of the coherence can be observed. [ 34 ] We observe that in weak coupling regime where the Jaynes–Cummings approximation is valid it is not possible to see coherence emerge from incoherent bosons. However, if a dispersive coupling can be combined with a standard Jaynes–Cummings interaction (mimicking the requirement for non‐commuting Pauli operators) then coherence does emerge.…”

Section: Emergence Of Quantum Coherencementioning

confidence: 99%

Quantum Coherence from a Few Incoherent Bosons

Laha,

Moore,

Filip

2023

Adv Quantum Tech

View full text Add to dashboard Cite

An engineered hybrid interaction of a few incoherent bosons with a cooled discrete‐level system may give rise to substantial quantum coherence, an essential resource with diverse applications for quantum technology. This is in contrast to the expected requirement of intense and coherent external drives in current technologies. Substituting such external drives with internal hybrid processes stimulated by mere thermal energy may then contribute to reduced energy consumption in observing and using quantum phenomena. This low‐energy emergence of quantum coherence is then suitable for proof‐of‐principle exploration with recent experiments in platforms such as trapped ions and superconducting circuits.

show abstract

Section: Emergence Of Quantum Coherencementioning

confidence: 99%

Quantum Coherence from a Few Incoherent Bosons

Laha,

Moore,

Filip

2023

Adv Quantum Tech

View full text Add to dashboard Cite

show abstract

Quantum‐Neural Network Model for Platform Independent Ddos Attack Classification in Cyber Security

Küçükkara,

Atban,

Bayılmış

2024

Adv Quantum Tech

View full text Add to dashboard Cite

Quantum Machine Learning (QML) leverages the transformative power of quantum computing to explore a broad range of applications, including optimization, data analysis, and complex problem‐solving. Central to this study is the using of an innovative intrusion detection system leveraging QML models, with a preference for Quantum Neural Network (QNN) architectures for classification tasks. The inherent advantages of QNNs, notably their parallel processing capabilities facilitated by quantum computers and the exploitation of quantum superposition and parallelism, are elucidated. These attributes empower QNNs to execute certain classification tasks expediently and with heightened efficiency. Empirical validation is conducted through the deployment and testing of a QNN‐based intrusion detection system, employing a subset of the CIC‐DDoS 2019 dataset. Notably, despite employing a reduced feature set, the QNN‐based system exhibits remarkable classification accuracy, achieving a commendable rate of 92.63%. Moreover, the study advocates for the utilization of quantum computing libraries such as Qiskit, facilitating QNN training on local machines or quantum simulators. The findings underscore the efficacy of a QNN‐based intrusion detection system in attaining superior classification accuracy when confronted with large‐scale training datasets. However, it is imperative to acknowledge the constraints imposed by the limited number of qubits available on local machines and simulators.

show abstract

Controlling the charge-transfer dynamics of two-level systems around avoided crossings

Migliore,

Messina

2024

The Journal of Chemical Physics

View full text Add to dashboard Cite

Two-level quantum systems are fundamental physical models that continue to attract growing interest due to their crucial role as a building block of quantum technologies. The exact analytical solution of the dynamics of these systems is central to control theory and its applications, such as that to quantum computing. In this study, we reconsider the two-state charge transfer problem by extending and using a methodology developed to study (pseudo)spin systems in quantum electrodynamics contexts. This approach allows us to build a time evolution operator for the charge transfer system and to show new opportunities for the coherent control of the system dynamics, with a particular emphasis on the critical dynamic region around the transition state coordinate, where the avoided crossing of the energy levels occurs. We identify and propose possible experimental implementations of a class of rotations of the charge donor (or acceptor) that endow the electronic coupling matrix element with a time-dependent phase that can be employed to realize controllable coherent dynamics of the system across the avoided level crossing. The analogy of these rotations to reference frame rotations in generalized semiclassical Rabi models is discussed. We also show that the physical rotations in the charge-transfer systems can be performed so as to implement quantum gates relevant to quantum computing. From an exquisitely physical–mathematical viewpoint, our approach brings to light situations in which the time-dependent state of the system can be obtained without resorting to the special functions appearing in the Landau–Zener approach.

show abstract

Thermally-induced qubit coherence in quantum electromechanics

Cited by 5 publications

References 76 publications

Quantum Coherence from a Few Incoherent Bosons

Quantum Coherence from a Few Incoherent Bosons

Quantum‐Neural Network Model for Platform Independent Ddos Attack Classification in Cyber Security

Controlling the charge-transfer dynamics of two-level systems around avoided crossings

Contact Info

Product

Resources

About