Time-bin entanglement in the deterministic generation of linear photonic cluster states

• URL: http://arxiv.org/abs/2403.08527v3
• Date: Wed, 10 Jul 2024 09:29:13 GMT
• Title: Time-bin entanglement in the deterministic generation of linear photonic cluster states
• Authors: David Bauch, Nikolas Köcher, Nils Heinisch, Stefan Schumacher,
• Abstract summary: We theoretically investigate strategies for the deterministic creation of trains of time-bin entangled photons using an individual quantum emitter. We show the theoretical generation of linear cluster states with substantial numbers of entangled photonic qubits in full microscopic numerical simulations.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We theoretically investigate strategies for the deterministic creation of trains of time-bin entangled photons using an individual quantum emitter described by a $\Lambda$-type electronic system. We explicitly demonstrate the theoretical generation of linear cluster states with substantial numbers of entangled photonic qubits in full microscopic numerical simulations. The underlying scheme is based on the manipulation of ground state coherences through precise optical driving. One important finding is that the most easily accessible quality metrics, the achievable rotation fidelities, fall short in assessing the actual quantum correlations of the emitted photons in the face of losses. To address this, we explicitly calculate stabilizer generator expectation values as a superior gauge for the quantum properties of the generated many-photon state. With widespread applicability also to other emitter and excitation-emission schemes, our work lays the conceptual foundations for an in-depth practical analysis of time-bin entanglement based on full numerical simulations with predictive capabilities for realistic systems and setups including losses and imperfections. The specific results shown in the present work illustrate that with controlled minimization of losses and realistic system parameters for quantum-dot type systems, useful linear cluster states of significant lengths can be generated in the calculations, discussing the possibility of scalability for quantum information processing endeavors.

Related papers

• Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits [63.733312560668274]
  Given a quantum circuit containing d tunable RZ gates and G-d Clifford gates, can a learner perform purely classical inference to efficiently predict its linear properties? We prove that the sample complexity scaling linearly in d is necessary and sufficient to achieve a small prediction error, while the corresponding computational complexity may scale exponentially in d. We devise a kernel-based learning model capable of trading off prediction error and computational complexity, transitioning from exponential to scaling in many practical settings.
  arXiv  Detail & Related papers  (2024-08-22T08:21:28Z)
• Theory of time-bin entangled photons from quantum emitters [0.0]
  Entangled photon pairs form the foundation for many applications in the realm of quantum communication. Time-bin encoding can potentially offer an improved stability compared to polarization encoded qubits. We derive multi-time correlation functions of the time-bin encoded photon pairs, corresponding to quantum state tomographic measurements.
  arXiv  Detail & Related papers  (2024-04-12T09:23:46Z)
• Demonstration of Lossy Linear Transformations and Two-Photon Interference on a Photonic Chip [78.1768579844556]
  We show that engineered loss, using an auxiliary waveguide, allows one to invert the spatial statistics from bunching to antibunching. We study the photon statistics within the loss-emulating channel and observe photon coincidences, which may provide insights into the design of quantum photonic integrated chips.
  arXiv  Detail & Related papers  (2024-04-09T06:45:46Z)
• Experimental property-reconstruction in a photonic quantum extreme learning machine [43.55994393060723]
  We implement a quantum extreme learning machine in a photonic platform to achieve resource-efficient and accurate characterization of the polarization state of a photon. We demonstrate how the reconstruction of an unknown polarization state does not need a careful characterization of the measurement apparatus and is robust to experimental imperfections.
  arXiv  Detail & Related papers  (2023-08-08T19:22:03Z)
• Simulating photon counting from dynamic quantum emitters by exploiting zero-photon measurements [0.0]
  I show that exploiting information hidden in zero-photon measurement outcomes provides an exponential speedup for time-integrated photon counting simulations. This enables simulations of large photonic experiments with an unprecedented level of physical detail.
  arXiv  Detail & Related papers  (2023-07-31T11:45:32Z)
• Loss-tolerant architecture for quantum computing with quantum emitters [0.0]
  We develop an architecture for measurement-based quantum computing using photonic quantum emitters. We exploit spin-photon entanglement as resource states and standard Bell measurements of photons for fusing them into a large spin-qubit cluster state.
  arXiv  Detail & Related papers  (2023-04-07T18:00:25Z)
• Universality of critical dynamics with finite entanglement [68.8204255655161]
  We study how low-energy dynamics of quantum systems near criticality are modified by finite entanglement. Our result establishes the precise role played by entanglement in time-dependent critical phenomena.
  arXiv  Detail & Related papers  (2023-01-23T19:23:54Z)
• Implementation of photon partial distinguishability in a quantum optical circuit simulation [0.0]
  Photonic quantum states are represented by wavepackets which contain information on their time and frequency distributions. In order to account for the partial photon distinguishability, we expand the number of degrees of freedom associated with the circuit operation. This strategy allows to define delay operations in the same footing as the linear optical elements.
  arXiv  Detail & Related papers  (2022-08-05T16:01:39Z)
• Statistical limits for quantum networks with semiconductor entangled photon sources [1.44854099261305]
  We explore the statistical limits for entanglement swapping with sources of polarization-entangled photons from the commonly used biexciton-exciton cascade. We stress the necessity of tuning the exciton fine structure, and explain why the often observed time evolution of photonic entanglement in quantum dots is not applicable for large quantum networks.
  arXiv  Detail & Related papers  (2021-09-14T14:57:50Z)
• Quantum-tailored machine-learning characterization of a superconducting qubit [50.591267188664666]
  We develop an approach to characterize the dynamics of a quantum device and learn device parameters. This approach outperforms physics-agnostic recurrent neural networks trained on numerically generated and experimental data. This demonstration shows how leveraging domain knowledge improves the accuracy and efficiency of this characterization task.
  arXiv  Detail & Related papers  (2021-06-24T15:58:57Z)
• Quantum Markov Chain Monte Carlo with Digital Dissipative Dynamics on Quantum Computers [52.77024349608834]
  We develop a digital quantum algorithm that simulates interaction with an environment using a small number of ancilla qubits. We evaluate the algorithm by simulating thermal states of the transverse Ising model.
  arXiv  Detail & Related papers  (2021-03-04T18:21:00Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.