語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
FindBook
Google Book
Amazon
博客來
Quantum Information Processing with Tunable and Low-Loss Superconducting Circuits.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Quantum Information Processing with Tunable and Low-Loss Superconducting Circuits./
作者:
Bengtsson, Andreas.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
147 p.
附註:
Source: Dissertations Abstracts International, Volume: 83-06, Section: B.
Contained By:
Dissertations Abstracts International83-06B.
標題:
Quantum computing. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28828989
ISBN:
9798496569712
Quantum Information Processing with Tunable and Low-Loss Superconducting Circuits.
Bengtsson, Andreas.
Quantum Information Processing with Tunable and Low-Loss Superconducting Circuits.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 147 p.
Source: Dissertations Abstracts International, Volume: 83-06, Section: B.
Thesis (Ph.D.)--Chalmers Tekniska Hogskola (Sweden), 2020.
This item must not be sold to any third party vendors.
The perhaps most promising platform for quantum information processing is the circuit-QED architecture based on superconducting circuits representing quantum bits. These circuits must be made with low losses so that the quantum information is retained for as long as possible. We developed fabrication processes achieving state-of-the-art coherence times of over 100 µs. We identified the primary source of loss to be parasitic two-level systems by studying fluctuations of qubit relaxation times.Using our high-coherence circuits, we implemented a quantum processor built on fixed-frequency qubits and frequency-tunable couplers. The tunable couplers were lumped-element LC resonators, where the inductance came from a superconducting quantum interference device (SQUID). We achieved a controlled-phase gate with a fidelity of 99% by parametric modulation of the coupler frequency. Using this device, and another similar to it, we demonstrated two different quantum algorithms, the quantum approximate optimization algorithm, and density matrix exponentiation. We achieved high algorithmic fidelities, aided by our carefully calibrated gates.Additionally, we researched parametric oscillations using frequency-tunable resonators. Previously, degenerate parametric oscillations have been demonstrated by modulation of the resonant frequency at twice that frequency. We use this phenomenon to implement a readout method for a superconducting qubit with a fidelity of 98.7%.We demonstrated correlated radiation in nondegenerate parametric oscillations by modulating at the sum of two resonant frequencies of a multimode resonator. We showed an excellent quantitative agreement between the classical properties of the oscillations with a theoretical model. Moreover, we studied higher-order modulation at up to five times their resonant frequencies. These types of parametric oscillation states might be used as a quantum resource for continuous-variable quantum computing.
ISBN: 9798496569712Subjects--Topical Terms:
2115803
Quantum computing.
Quantum Information Processing with Tunable and Low-Loss Superconducting Circuits.
LDR
:03156nmm a2200397 4500
001
2343919
005
20220513114352.5
008
241004s2020 ||||||||||||||||| ||eng d
020
$a
9798496569712
035
$a
(MiAaPQ)AAI28828989
035
$a
(MiAaPQ)Chalmers_SE516196
035
$a
AAI28828989
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Bengtsson, Andreas.
$3
3682596
245
1 0
$a
Quantum Information Processing with Tunable and Low-Loss Superconducting Circuits.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2020
300
$a
147 p.
500
$a
Source: Dissertations Abstracts International, Volume: 83-06, Section: B.
500
$a
Advisor: Bylander, Jonas.
502
$a
Thesis (Ph.D.)--Chalmers Tekniska Hogskola (Sweden), 2020.
506
$a
This item must not be sold to any third party vendors.
520
$a
The perhaps most promising platform for quantum information processing is the circuit-QED architecture based on superconducting circuits representing quantum bits. These circuits must be made with low losses so that the quantum information is retained for as long as possible. We developed fabrication processes achieving state-of-the-art coherence times of over 100 µs. We identified the primary source of loss to be parasitic two-level systems by studying fluctuations of qubit relaxation times.Using our high-coherence circuits, we implemented a quantum processor built on fixed-frequency qubits and frequency-tunable couplers. The tunable couplers were lumped-element LC resonators, where the inductance came from a superconducting quantum interference device (SQUID). We achieved a controlled-phase gate with a fidelity of 99% by parametric modulation of the coupler frequency. Using this device, and another similar to it, we demonstrated two different quantum algorithms, the quantum approximate optimization algorithm, and density matrix exponentiation. We achieved high algorithmic fidelities, aided by our carefully calibrated gates.Additionally, we researched parametric oscillations using frequency-tunable resonators. Previously, degenerate parametric oscillations have been demonstrated by modulation of the resonant frequency at twice that frequency. We use this phenomenon to implement a readout method for a superconducting qubit with a fidelity of 98.7%.We demonstrated correlated radiation in nondegenerate parametric oscillations by modulating at the sum of two resonant frequencies of a multimode resonator. We showed an excellent quantitative agreement between the classical properties of the oscillations with a theoretical model. Moreover, we studied higher-order modulation at up to five times their resonant frequencies. These types of parametric oscillation states might be used as a quantum resource for continuous-variable quantum computing.
590
$a
School code: 0419.
650
4
$a
Quantum computing.
$3
2115803
650
4
$a
Random access memory.
$3
623617
650
4
$a
Computers.
$3
544777
650
4
$a
Physics.
$3
516296
650
4
$a
Particle accelerators.
$3
705332
650
4
$a
Electromagnetism.
$3
522050
650
4
$a
Power.
$3
518736
650
4
$a
Optimization.
$3
891104
650
4
$a
Sensors.
$3
3549539
650
4
$a
Circuits.
$3
3555093
650
4
$a
Information processing.
$3
3561808
650
4
$a
Energy.
$3
876794
650
4
$a
Algorithms.
$3
536374
650
4
$a
Quantum dots.
$3
604799
650
4
$a
Radiation.
$3
673904
650
4
$a
Atoms & subatomic particles.
$3
3560412
650
4
$a
Linear algebra.
$3
2923381
650
4
$a
Atomic physics.
$3
3173870
650
4
$a
Computational physics.
$3
3343998
650
4
$a
Computer science.
$3
523869
650
4
$a
Electrical engineering.
$3
649834
650
4
$a
Engineering.
$3
586835
650
4
$a
Mathematics.
$3
515831
650
4
$a
Quantum physics.
$3
726746
690
$a
0791
690
$a
0605
690
$a
0748
690
$a
0216
690
$a
0984
690
$a
0544
690
$a
0537
690
$a
0405
690
$a
0599
710
2
$a
Chalmers Tekniska Hogskola (Sweden).
$3
1913472
773
0
$t
Dissertations Abstracts International
$g
83-06B.
790
$a
0419
791
$a
Ph.D.
792
$a
2020
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28828989
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9466357
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入