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Abstract
Perfect deterministic amplification of arbitrary quantum states is prohibited by quantum mechanics, but determinism can be achieved by compromising between fidelity and amplification power. We propose a dynamical scheme for deterministically amplifying photonic Schrödinger cat states, which show great promise as a tool for quantum information processing. Our protocol is designed for strongly coupled circuit quantum electrodynamics and utilizes artificial atomic states and external microwave controls to engineer a set of optimal state transfers and achieve high fidelity amplification. We compare analytical results with full simulations of the open, driven Jaynes-Cummings model, using realistic device parameters for state of the art superconducting circuits. Amplification with a fidelity of 0.9 can be achieved for sizable cat states in the presence of cavity and atomic-level decoherence. This tool could be applied to practical continuous-variable information processing for the purification and stabilization of cat states in the presence of photon losses.
Original language | English |
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Article number | 023028 |
Number of pages | 11 |
Journal | New Journal of Physics |
Volume | 18 |
Issue number | 2 |
DOIs | |
Publication status | Published - 5 Feb 2016 |
Keywords
- amplification of quantum states
- cat states
- circuit quantum electrodynamics
- quantum optics
- superconducting circuits
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Dive into the research topics of 'Deterministic amplification of Schrödinger cat states in circuit quantum electrodynamics'. Together they form a unique fingerprint.Projects
- 1 Finished
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UK Quantum Technology Hub for Quantum Communications Quantum Technologies
Jeffers, J. (Principal Investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/12/14 → 31/03/20
Project: Research
Datasets
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Data for: "Deterministic amplification of Schrödinger cat states in circuit quantum electrodynamics"
Oi, D. (Creator), Ginossar, E. (Creator), Joo, J. (Creator), Elliott, M. (Creator) & Spiller, T. P. (Creator), 13 Oct 2017
DOI: 10.15126/surreydata.00809736
Dataset