Experimental Realization of Multi-ion Sympathetic Cooling on a Trapped Ion Crystal

2021 ◽  
Vol 127 (14) ◽  
Author(s):  
Z.-C. Mao ◽  
Y.-Z. Xu ◽  
Q.-X. Mei ◽  
W.-D. Zhao ◽  
Y. Jiang ◽  
...  
Keyword(s):  
Sympathetic Cooling ◽  
Experimental Realization ◽  
Trapped Ion

scholarly journals Dual-species, multi-qubit logic primitives for Ca+/Sr+ trapped-ion crystals

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
C. D. Bruzewicz ◽  
R. McConnell ◽  
J. Stuart ◽  
J. M. Sage ◽  
J. Chiaverini
Keyword(s):  
Quantum Logic ◽  
Near Infrared ◽  
Quantum Information Processing ◽  
Infrared Range ◽  
Sympathetic Cooling ◽  
Trapped Ion ◽  
Logic Control ◽  
State Transfer ◽  
And Control ◽  
Near Infrared Range

AbstractWe demonstrate key multi-qubit quantum-logic primitives in a dual-species trapped-ion system based on $${}^{40}$$40Ca$${}^{+}$$+ and $${}^{88}$$88Sr$${}^{+}$$+ ions, using two optical qubits with quantum-logic-control frequencies in the red to near-infrared range. With all ionization, cooling, and control wavelengths in a wavelength band similar for the two species and centered in the visible, and with a favorable mass ratio for sympathetic cooling, this pair is a promising candidate for scalable quantum information processing. Same-species and dual-species two-qubit gates, based on the Mølmer–Sørensen interaction and performed in a cryogenic surface-electrode trap, are characterized via the fidelity of generated entangled states; we achieve fidelities of 98.8(2)% and 97.5(2)% in Ca$${}^{+}$$+–Ca$${}^{+}$$+ and Sr$${}^{+}$$+–Sr$${}^{+}$$+ gates, respectively. For a similar Ca$${}^{+}$$+–Sr$${}^{+}$$+ gate, we achieve a fidelity of 94.3(3)%, and carrying out a Sr$${}^{+}$$+–Sr$${}^{+}$$+ gate performed with a Ca$${}^{+}$$+ sympathetic cooling ion in a Sr$${}^{+}$$+–Ca$${}^{+}$$+–Sr$${}^{+}$$+ crystal configuration, we achieve a fidelity of 95.7(3)%. These primitives form a set of trapped-ion capabilities for logic with sympathetic cooling and ancilla readout or state transfer for general quantum computing and communication applications.

scholarly journals Initialization of quantum simulators by sympathetic cooling

2020 ◽  
Vol 6 (10) ◽  
pp. eaaw9268 ◽  
Author(s):  
Meghana Raghunandan ◽  
Fabian Wolf ◽  
Christian Ospelkaus ◽  
Piet O. Schmidt ◽  
Hendrik Weimer
Keyword(s):  
Energy State ◽  
Hamiltonian Dynamics ◽  
Many Body ◽  
Sympathetic Cooling ◽  
Trapped Ion ◽  
Physical Chemical ◽  
Quantum Simulators ◽  
Auxiliary Particle ◽  
Quantum Simulator ◽  
Chemical And Biological Systems

Simulating computationally intractable many-body problems on a quantum simulator holds great potential to deliver insights into physical, chemical, and biological systems. While the implementation of Hamiltonian dynamics within a quantum simulator has already been demonstrated in many experiments, the problem of initialization of quantum simulators to a suitable quantum state has hitherto remained mostly unsolved. Here, we show that already a single dissipatively driven auxiliary particle can efficiently prepare the quantum simulator in a low-energy state of largely arbitrary Hamiltonians. We demonstrate the scalability of our approach and show that it is robust against unwanted sources of decoherence. While our initialization protocol is largely independent of the physical realization of the simulation device, we provide an implementation example for a trapped ion quantum simulator.

scholarly journals Sympathetic cooling and detection of a hot trapped ion by a cold one

2015 ◽  
Vol 17 (10) ◽  
pp. 103001 ◽  
Author(s):  
M Guggemos ◽  
D Heinrich ◽  
O A Herrera-Sancho ◽  
R Blatt ◽  
C F Roos
Keyword(s):  
Sympathetic Cooling ◽  
Trapped Ion

scholarly journals Quantum thermodynamics in adiabatic open systems and its trapped-ion experimental realization

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Chang-Kang Hu ◽  
Alan C. Santos ◽  
Jin-Ming Cui ◽  
Yun-Feng Huang ◽  
Diogo O. Soares-Pinto ◽  
...  
Keyword(s):  
Open Systems ◽  
Quantum Thermodynamics ◽  
Experimental Realization ◽  
Trapped Ion

scholarly journals Experimental Realization of Nonadiabatic Holonomic Single-Qubit Quantum Gates with Optimal Control in a Trapped Ion

2020 ◽  
Vol 14 (5) ◽  
Author(s):  
Ming-Zhong Ai ◽  
Sai Li ◽  
Zhibo Hou ◽  
Ran He ◽  
Zhong-Hua Qian ◽  
...  
Keyword(s):  
Optimal Control ◽  
Quantum Gates ◽  
Experimental Realization ◽  
Trapped Ion ◽  
Single Qubit

scholarly journals Experimental Realization of Nonadiabatic Holonomic Single-Qubit Quantum Gates with Two Dark Paths in a Trapped Ion

2021 ◽  
Author(s):  
Ming-Zhong Ai ◽  
Sai Li ◽  
Ran He ◽  
Zheng-Yuan Xue ◽  
Jin-Ming Cui ◽  
...  
Keyword(s):  
Quantum Gates ◽  
Experimental Realization ◽  
Trapped Ion ◽  
Single Qubit

Spatial Metabolomics of the Human Kidney Using MALDI Trapped Ion Mobility Imaging Mass Spectrometry

2020 ◽  
Author(s):  
Elizabeth Neumann ◽  
Lukasz Migas ◽  
Jamie L. Allen ◽  
Richard Caprioli ◽  
Raf Van de Plas ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Ion Mobility ◽  
Imaging Mass Spectrometry ◽  
Structural Complexity ◽  
Human Kidney ◽  
Resolving Power ◽  
Mobility Separation ◽  
Trapped Ion ◽  
Mobility Data ◽  
Ion Mobility Separation

<div> <div> <p>Small metabolites are essential for normal and diseased biological function but are difficult to study because of their inherent structural complexity. MALDI imaging mass spectrometry (IMS) of small metabolites is particularly challenging as MALDI matrix clusters are often isobaric with metabolite ions, requiring high resolving power instrumentation or derivatization to circumvent this issue. An alternative to this is to perform ion mobility separation before ion detection, enabling the visualization of metabolites without the interference of matrix ions. Here, we use MALDI timsTOF IMS to image small metabolites at high spatial resolution within the human kidney. Through this, we have found metabolites, such as arginic acid, acetylcarnitine, and choline that localize to the cortex, medulla, and renal pelvis, respectively. We have also demonstrated that trapped ion mobility spectrometry (TIMS) can resolve matrix peaks from metabolite signal and separate both isobaric and isomeric metabolites with different localizations within the kidney. The added ion mobility data dimension dramatically increased the peak capacity for molecular imaging experiments. Future work will involve further exploring the small metabolite profiles of human kidneys as a function of age, gender, and ethnicity.</p></div></div>

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