scholarly journals Integrated Tool Set for Control, Calibration, and Characterization of Quantum Devices Applied to Superconducting Qubits

2021 ◽  
Vol 15 (3) ◽  
Author(s):  
Nicolas Wittler ◽  
Federico Roy ◽  
Kevin Pack ◽  
Max Werninghaus ◽  
Anurag Saha Roy ◽  
...  
Keyword(s):  
Superconducting Qubits ◽  
Quantum Devices ◽  
Tool Set

Fabrication and room temperature characterization of trilayer junctions for the development of superconducting qubits on 300 mm wafers

2021 ◽  
Vol 60 (SB) ◽  
pp. SBBI04
Author(s):  
Danny Wan ◽  
Sebastian Couet ◽  
Xiaoyu Piao ◽  
Laurent Souriau ◽  
Yann Canvel ◽  
...  
Keyword(s):  
Room Temperature ◽  
Superconducting Qubits

Fabrication and Characterization of Molybdenum Thin-Film Resistor for Superconducting Quantum Devices

2020 ◽  
Vol 30 (7) ◽  
pp. 1-4
Author(s):  
Tiantian Liang ◽  
Guofeng Zhang ◽  
Wentao Wu ◽  
Yongliang Wang ◽  
Lu Zhang ◽  
...  
Keyword(s):  
Thin Film ◽  
Quantum Devices ◽  
Film Resistor ◽  
Thin Film Resistor ◽  
Fabrication And Characterization

Modular Printed Circuit Boards for Broadband Characterization of Nanoelectronic Quantum Devices

2016 ◽  
Vol 65 (8) ◽  
pp. 1827-1835 ◽  
Author(s):  
Marco Lorenzo Valerio Tagliaferri ◽  
Alessandro Crippa ◽  
Simone Cocco ◽  
Marco De Michielis ◽  
Marco Fanciulli ◽  
...  
Keyword(s):  
Printed Circuit Boards ◽  
Circuit Boards ◽  
Quantum Devices ◽  
Printed Circuit

scholarly journals Experimental semi-autonomous eigensolver using reinforcement learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
C.-Y. Pan ◽  
M. Hao ◽  
N. Barraza ◽  
E. Solano ◽  
F. Albarrán-Arriagada
Keyword(s):  
Reinforcement Learning ◽  
Feedback Loop ◽  
Partial Information ◽  
Quantum Computer ◽  
Hermitian Operator ◽  
Single Shot ◽  
Quantum Devices ◽  
Quantum Technology ◽  
Future Technologies

AbstractThe characterization of observables, expressed via Hermitian operators, is a crucial task in quantum mechanics. For this reason, an eigensolver is a fundamental algorithm for any quantum technology. In this work, we implement a semi-autonomous algorithm to obtain an approximation of the eigenvectors of an arbitrary Hermitian operator using the IBM quantum computer. To this end, we only use single-shot measurements and pseudo-random changes handled by a feedback loop, reducing the number of measures in the system. Due to the classical feedback loop, this algorithm can be cast into the reinforcement learning paradigm. Using this algorithm, for a single-qubit observable, we obtain both eigenvectors with fidelities over 0.97 with around 200 single-shot measurements. For two-qubits observables, we get fidelities over 0.91 with around 1500 single-shot measurements for the four eigenvectors, which is a comparatively low resource demand, suitable for current devices. This work is useful to the development of quantum devices able to decide with partial information, which helps to implement future technologies in quantum artificial intelligence.

scholarly journals Cryogen-free scanning gate microscope for the characterization of Si/Si0.7Ge0.3 quantum devices at milli-Kelvin temperatures

AIP Advances ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 125122
Author(s):  
Seong Woo Oh ◽  
Artem O. Denisov ◽  
Pengcheng Chen ◽  
Jason R. Petta
Keyword(s):  
Quantum Devices ◽  
Scanning Gate

scholarly journals EvoFreq: visualization of the Evolutionary Frequencies of sequence and model data

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Chandler D. Gatenbee ◽  
Ryan O. Schenck ◽  
Rafael R. Bravo ◽  
Alexander R. A. Anderson
Keyword(s):  
High Throughput ◽  
Evolutionary Dynamics ◽  
Temporal Dynamics ◽  
Sequence Data ◽  
Single Point ◽  
Model Data ◽  
Genotype Frequencies ◽  
Tool Set ◽  
Over Time

Abstract Background High throughput sequence data has provided in depth means of molecular characterization of populations. When recorded at numerous time steps, such data can reveal the evolutionary dynamics of the population under study by tracking the changes in genotype frequencies over time. This necessitates a simple and flexible means of visualizing an increasingly complex set of data. Results Here we offer EvoFreq as a comprehensive tool set to visualize the evolutionary and population frequency dynamics of clones at a single point in time or as population frequencies over time using a variety of informative methods. EvoFreq expands substantially on previous means of visualizing the clonal, temporal dynamics and offers users a range of options for displaying their sequence or model data. Conclusions EvoFreq, implemented in R with robust user options and few dependencies, offers a high-throughput means of quickly building, and interrogating the temporal dynamics of hereditary information across many systems. EvoFreq is freely available via https://github.com/MathOnco/EvoFreq.

scholarly journals Physical characterization of quantum devices from nonlocal correlations

2015 ◽  
Vol 91 (2) ◽  
Author(s):  
Jean-Daniel Bancal ◽  
Miguel Navascués ◽  
Valerio Scarani ◽  
Tamás Vértesi ◽  
Tzyh Haur Yang
Keyword(s):  
Physical Characterization ◽  
Quantum Devices ◽  
Nonlocal Correlations

scholarly journals EvoFreq: Visualization of the Evolutionary Frequencies of Sequence and Model Data

2019 ◽  
Author(s):  
Chandler D. Gatenbee ◽  
Ryan O. Schenck ◽  
Rafael Bravo ◽  
Alexander R.A. Anderson
Keyword(s):  
High Throughput ◽  
Evolutionary Dynamics ◽  
Temporal Dynamics ◽  
Sequence Data ◽  
Single Point ◽  
Model Data ◽  
Genotype Frequencies ◽  
Tool Set ◽  
Over Time

AbstractHigh throughput sequence data has provided in depth means of molecular characterization of populations. When recorded at numerous time steps, such data can reveal the evolutionary dynamics of the population under study by tracking the changes in genotype frequencies over time. This necessitates a simple and flexible means of visualizing an increasingly complex set of data. Here we offer EvoFreq as a comprehensive tool set to visualize the evolutionary and population frequency dynamics of clones at a single point in time or as population frequencies over time using a variety of informative methods. EvoFreq expands substantially on previous means of visualizing the clonal, temporal dynamics and offers users a range of options for displaying their sequence or model data. EvoFreq, implemented in R with robust user options and few dependencies, offers a high-throughput means of quickly building, and interrogating the temporal dynamics of hereditary information across many systems. EvoFreq is freely available via https://github.com/MathOnco/EvoFreq.

scholarly journals Characterization of a fabrication process for the integration of superconducting qubits and rapid-single-flux-quantum circuits

2006 ◽  
Vol 19 (8) ◽  
pp. 860-864 ◽  
Author(s):  
Maria Gabriella Castellano ◽  
Leif Grönberg ◽  
Pasquale Carelli ◽  
Fabio Chiarello ◽  
Carlo Cosmelli ◽  
...  
Keyword(s):  
Fabrication Process ◽  
Superconducting Qubits ◽  
Quantum Circuits ◽  
Flux Quantum ◽  
Rapid Single Flux Quantum
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