Superconducting cavity electro-optics: A platform for coherent photon conversion between superconducting and photonic circuits by Linran Fan, Chang-Ling.

Slides:



Advertisements
Similar presentations
Fig. 2 Nonlinearities in a cavity-embedded perovskite single crystal.
Advertisements

Fig. 4 3D reconfiguration of liquid metals for electronics.
Fig. 5 MicroLED array with 3D liquid metal interconnects.
Fig. 2 2D-IR spectroscopy on liquid ZnPa under dry conditions.
Fig. 1 Characterization of the device structure.
Fig. 3 The electrical contact of direct-printed and reconfigured liquid metals. The electrical contact of direct-printed and reconfigured liquid metals.
Fig. 1 Pump-probe signatures of vermilion (red HgS), black HgS, and metallic Hg. Pump-probe signatures of vermilion (red HgS), black HgS, and metallic.
Fig. 3 Saturation velocity of BP FETs.
Fig. 1 NP-free Ch-CNC droplets.
Fig. 6 Comparison of properties of water models.
Fig. 2 Ferroelectric domains resolved in WTe2 single crystals.
Fig. 3 TESC spectra with increasing coupling strength and plexciton energy diagram with QD detuning. TESC spectra with increasing coupling strength and.
Fig. 3 Scan rate effects on the layer edge current.
Fig. 1 Product lifetime distributions for the eight industrial use sectors plotted as log-normal probability distribution functions (PDF). Product lifetime.
Fig. 3 Gate voltage dependence of the areal iDMI and PMA.
Fig. 1 Concept of the livestock transition in China between 1980 and Concept of the livestock transition in China between 1980 and The left-
Fig. 1 Phase diagram and FS topologies.
Fig. 3 Forward model. Forward model. Summary of the resampled Monte Carlo simulations shown as histograms for epoch 1 (red), epoch 2 (green), and epoch.
Fig. 3 Characteristics of UV and temperature sensors.
Emergence of resonances and prediction of distinct network responses
Fig. 3 Photon number statistics resulting from Fock state |l, S − l〉 interference. Photon number statistics resulting from Fock state |l, S − l〉 interference.
Fig. 2 2D QWs of different propagation lengths.
Fig. 3 Measurement of SOT efficiency (θDL,m) from ST-FMR.
Fig. 4 Optical polaritonic dipole antennas with h-BN.
Fig. 2 EUV TG signal. EUV TG signal. Black lines in (A), (B), and (C) are the EUV TG signals from Si3N4 membranes at LTG = 110, 85, and 28 nm, respectively,
Fig. 6 WPS imaging of different chemical components in living cells.
Fig. 5 In-plane angle dependence of SOT efficiency (θDL,m) and resonance condition (Hres). In-plane angle dependence of SOT efficiency (θDL,m) and resonance.
Fig. 2 Gate and magnetic field dependence of the edge conduction.
Fig. 5 Schematic phase diagrams of Ising spin systems and Mott transition systems. Schematic phase diagrams of Ising spin systems and Mott transition systems.
Fig. 4 Effect of Cu spacer and current direction on SOT efficiency (θDL,m) in L10-IrMn. Effect of Cu spacer and current direction on SOT efficiency (θDL,m)
Fig. 3 HfSe2 transistors. HfSe2 transistors. (A) Schematic of HfSe2 device, back-gated through 90-nm SiO2, and with ALD alumina used as both protective.
Fig. 4 Giant optical chirality.
Fig. 3 Characterization of the current-induced effective fields.
Fig. 2 Results of the learning and testing phases.
Fig. 2 Folding motions of the TCO with strain-softening behavior.
Fig. 4 SPICE simulation of stochasticity.
Fig. 1 Schematic view and characterizations of FGT/Pt bilayer.
Fig. 1 A hollow polymer fiber filled with solid gallium creates a tough metamaterial core-shell fiber. A hollow polymer fiber filled with solid gallium.
Fig. 1 Empirical probability density functions of the estimated climatic drivers. Empirical probability density functions of the estimated climatic drivers.
by Alan She, Shuyan Zhang, Samuel Shian, David R
Fig. 2 Characterizing the performance of msTENG.
Integrated photonic platform for quantum information with continuous variables by Francesco Lenzini, Jiri Janousek, Oliver Thearle, Matteo Villa, Ben Haylock,
THz pulse-pump optical reflectivity probe spectroscopy on Nd2CuO4
Fig. 4 Relationships between light and economic parameters.
Fig. 3 Simulated optical properties of thin and patterned absorbers made of a-Si:H with increasing disorder magnitudes. Simulated optical properties of.
Fig. 1 MIR photovoltaic detector based on b-AsP.
Fig. 1 Structural and electrical properties of Bi2Se3/BaFe12O19.
Multiplexed four- and eight-channel devices for rapid processing
Fig. 2 Realization of asymmetric photon transport.
Fig. 3 Measured thermoelectric characteristics.
Fig. 3 MXene TLs and their attenuations.
Fig. 2 Comparison of the observed DRs and the estimates by the VR model and FL. Comparison of the observed DRs and the estimates by the VR model and FL.
Fig. 5 Scheme of photobleaching mechanism.
Fig. 1 Sketch and schematic diagram of photobleaching reaction in a strongly coupled system. Sketch and schematic diagram of photobleaching reaction in.
Fig. 4 Single-particle contact angle measurements.
Fig. 2 Finite element method (FEM) simulations of the photonic synapse with different structures. Finite element method (FEM) simulations of the photonic.
Fig. 6 MD simulations of assembled binary supraballs.
Fig. 3 Characterization of the zero-point coupling rate and the mechanical dissipation rate. Characterization of the zero-point coupling rate and the mechanical.
Fig. 4 Effect of ionic content of LC medium.
Fig. 3 Supraballs and films assembled from binary 219/217nm SPs/SMPs.
Fig. 2 Supraballs and films from binary SPs.
Fig. 4 Behavior of resistance peak near density nm = 5.
Fig. 2 Comparison between the different reflective metasurface proposals when θi = 0° and θr = 70°. Comparison between the different reflective metasurface.
The combined signal spectra of PSD for protons and helium nuclei
Fig. 1 Doping schematics and optical properties.
Fig. 2 Experimental schematic of photon production from a 138Ba+ ion, QFC, and photonic slowing in a warm neutral 87Rb vapor. Experimental schematic of.
Fig. 4 Effects of individual picosecond and microsecond pulses.
Imχ(3)(−ω; 0, 0, ω) spectra and their analyses in undoped cuprates
Fig. 3 Spatial distribution of the shoot density (high densities are represented in dark green and low ones in bright yellow) in a simulation of a P. oceanica.
Fig. 5 Modeling of the ASE threshold using the kinetic equations and experimental parameter inputs. Modeling of the ASE threshold using the kinetic equations.
Presentation transcript:

Superconducting cavity electro-optics: A platform for coherent photon conversion between superconducting and photonic circuits by Linran Fan, Chang-Ling Zou, Risheng Cheng, Xiang Guo, Xu Han, Zheng Gong, Sihao Wang, and Hong X. Tang Science Volume 4(8):eaar4994 August 17, 2018 Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

Fig. 1 Coherent conversion with cavity electro-optics. Coherent conversion with cavity electro-optics. (A) Schematic of cavity electro-optic systems. The optical cavity is made of materials with Pockels nonlinearity (χ(2)) and placed in the capacitor of the LC circuit. At the same time, optical and microwave cavities are coupled to optical and microwave bus waveguides, respectively. (B) Integrated superconducting cavity electro-optic device. The red part is the optical cavity and coupling waveguide, and the yellow part is the superconducting microwave cavity. A buffer layer (semitransparent) is placed between optical devices and the superconducting cavity to prevent metallic absorption of optical photons. (C) Diagram of frequencies in the conversion process. Strong control light is applied to the TE optical mode (pump mode), and photons can be converted between the microwave mode and the TM optical mode (signal mode). Microwave photons are converted to optical photons through sum frequency generation, and optical photons are converted to microwave photons through difference frequency generation, as shown in insets. The mode distribution in the cross section is shown for (D) the microwave mode, (E) the TE optical mode, and (F) the TM optical mode. Arrow direction and length represent the electric field direction and strength in log scale, respectively. Colors in (D) represent the voltage distribution, and colors in (E) and (F) represent the energy density. In simulation, the optical waveguide is 2 μm wide and 800 nm thick, and the sidewall angle is 8°. The distance between microwave electrodes is 2.8 μm. The material boundary is plotted in gray. Linran Fan et al. Sci Adv 2018;4:eaar4994 Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

Fig. 2 Integrated superconducting cavity electro-optic device. Integrated superconducting cavity electro-optic device. (A) Optical image of the superconducting cavity electro-optic device. Scale bar, 100 μm. (B) TE optical spectrum with different dc voltages. The azimuthal number difference between the TE and TM optical modes is 1. The mode anti-crossing gap is 2gx ~ 6.1 GHz, and the original dissipation rates for TM and TE optical modes without optical mode mixing are 190 and 480 MHz, respectively. (C) TE optical spectrum with dc voltages of −400 V (green), 300 V (red), and 900 V (orange), corresponding to the green, red, and orange dashed lines in (B), respectively. (D) Schematic of the microwave resonator and electric field distribution of the microwave mode, as well as the equivalent circuit. (E) Measured reflection spectrum of the microwave cavity. a.u., arbitrary units. Linran Fan et al. Sci Adv 2018;4:eaar4994 Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

Fig. 3 Electromagnetically induced transparency with cavity electro-optics. Electromagnetically induced transparency with cavity electro-optics. (A) Measured optical reflection spectrum as a function of the modulation frequency. (B) Zoom-in of the optical reflection spectrum centered at the transparency window. Each spectrum in (A) and (B) corresponds to a different dc voltage (thus different frequency detuning between pump and signal modes). Spectrums are offset for clarity. (C) Transparency window with the control light power of 8 dBm (blue), 5 dBm (orange), and 0 dBm (green). Circles are measured data, and solid lines are fitted spectra with eq. S13 in section S1. (D) Cooperativity and internal conversion efficiency versus control light power. The blue, orange, and green points correspond to the blue, orange, and green curves in (C), respectively. Gray lines are the fitted result based on measured data. Linran Fan et al. Sci Adv 2018;4:eaar4994 Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

Fig. 4 Bidirectional frequency conversion. Bidirectional frequency conversion. (A) Schematic showing the full conversion process. (B) The optical reflection Soo, (C) microwave-to-optical conversion Soe, (D) optical-to-microwave conversion Seo, (E) and microwave reflection See are measured to calibrate the on-chip conversion efficiency. The control light power is 8 dBm, and the dc voltage is 297 V. All conversion matrix coefficients are normalized to the radio frequency (RF) output power of the network analyzer (section S6). Linran Fan et al. Sci Adv 2018;4:eaar4994 Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).