Quantum Dots for Quantum Information Processing: Controlling and Exploiting the Quantum Dot Environment

Schütz, Martin J. A.

doi:10.1007/978-3-319-48559-1

Cited by 7 publications

(12 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Microwave phonons have attracted interest in quantum technologies as an efficient and versatile means of coupling superconducting qubits [1][2][3][4][5][6][7], solid-state quantum defects [8][9][10][11][12][13], microwave fields [14][15][16][17][18], and optical photons [19][20][21][22][23], and thus have emerged as a promising platform for the realization of quantum networks. Surface acoustic waves (SAW) are acoustic waves propagating on the surface of an elastic solid with amplitude decaying into the solid [24].…”

Section: Introductionmentioning

confidence: 99%

Phononic Band Structure Engineering for High- Q Gigahertz Surface Acoustic Wave Resonators on Lithium Niobate

et al. 2019

View full text Add to dashboard Cite

Phonons at gigahertz frequencies interact with electrons, photons, and atomic systems in solids, and therefore have extensive applications in signal processing, sensing, and quantum technologies. Surface acoustic wave (SAW) resonators that confine surface phonons can play a crucial role in such integrated phononic systems due to small mode size, low dissipation, and efficient electrical transduction. To date, it has been challenging to achieve high quality (Q) factor and small phonon mode size for SAW resonators at gigahertz frequencies. Here, we present a methodology to design compact high-Q SAW resonators on lithium niobate operating at gigahertz frequencies. We experimentally verify out designs and demonstrate Q factors in excess of 2×10 4 at room temperature (6×10 4 at 4 Kelvin) and mode area as low as 1.87 λ 2 . This is achieved by phononic band structure engineering, which provides high confinement with low mechanical loss. The frequency-Q products (fQ) of our SAW resonators are greater than 10 13 . These high-fQ and small mode size SAW resonators could enable applications in quantum phononics and integrated hybrid systems with phonons, photons, and solid-state qubits.

show abstract

Section: Introductionmentioning

confidence: 99%

Phononic Band Structure Engineering for High- Q Gigahertz Surface Acoustic Wave Resonators on Lithium Niobate

et al. 2019

View full text Add to dashboard Cite

show abstract

“…From Fig. (7), it is clear why 1 -norm is a good candidate. Let us take a look at an arbitrary factorized two-qubit state ρab = ρa ⊗ ρb = ∑ ab r a r b ( σa ⊗ σb ).…”

Section: /11mentioning

confidence: 98%

“…where Y mod is the prediction of QRC, and Y test. (7). Different lines correspond to different depolarization probabilities p. The purification channel is applied to the bridge qubits two times between any subsequent encoding operations.…”

Section: /11mentioning

confidence: 99%

“…1 -(a)) to effectively perform measurements using multiple copies of a system. As a physical realization of an ensemble, one can utilize nuclear magnetic resonance (NMR) spin systems [3][4][5][6] , semiconducting quantum dots 7 , superconducting qubits 8 and bosonic networks 9,10 . The great potential and scope of QRC have been recently demonstrated not only for processing classical temporal signals but also for quantum state preparation 11 and reconstruction 12 , training of an entanglement witness operator 13 , and quantum tomography 14 .…”

Section: Introductionmentioning

confidence: 99%

“…Memory accuracy (a), it's derivative (b), generalization loss (c), and memory capacity (d) for a setup with 3 qubits in QR-A and 4 qubits in QR-B. The system is affected by the depolarization of the form(7). Different lines correspond to different depolarization probabilities p. The purification channel is applied to the bridge qubits two times between any subsequent encoding operations.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Computing with two quantum reservoirs connected via optimized two-qubit nonselective measurements

Vintskevich¹,

Grigoriev²

2022

Preprint

View full text Add to dashboard Cite

At the present level of technology, quantum reservoir computing is one of the most promising and experimentally available techniques of hybrid quantum-classical machine learning. However, quantum reservoirs' practical applications are limited due to technological restrictions in the size of quantum systems, issues with gates control, and the affection of noise. Here we proposed a novel approach to connect quantum reservoirs in a network to overcome these issues and enhance quantum reservoir computing performance. This approach is based on an optimized two-qubit nonselective measurements channel. We also introduce an optimized single qubit purification channel for further quantum reservoir computing enhancements. We validate our approach via numerical simulations. We demonstrate that the optimized channels applied to a seven-qubits network can effectively transfer information between its parts. The resulting overall performance is comparable with networks of twenty-five qubits in total connected via a classical information link.

show abstract

Surface passivation and oxide encapsulation to improve optical properties of a single GaAs quantum dot close to the surface

Manna

Huang

Silva

et al. 2020

Applied Surface Science

View full text Add to dashboard Cite

Quantum Dots for Quantum Information Processing: Controlling and Exploiting the Quantum Dot Environment

Cited by 7 publications

References 0 publications

Phononic Band Structure Engineering for High- Q Gigahertz Surface Acoustic Wave Resonators on Lithium Niobate

Phononic Band Structure Engineering for High- Q Gigahertz Surface Acoustic Wave Resonators on Lithium Niobate

Computing with two quantum reservoirs connected via optimized two-qubit nonselective measurements

Surface passivation and oxide encapsulation to improve optical properties of a single GaAs quantum dot close to the surface

Contact Info

Product

Resources

About