China

Quantum antiferromagnet is of fundamental interest as it becomes a fertile ground for studying exotic many-body states including spin liquids and high-temperature superconductors. Compared with condensed matter systems, ultracold gases in optical lattices can be microscopically engineered and provide a unique opportunity for exploring bosonic magnetism and spin dynamics. Here, we report on the creation of a one-dimensional Heisenberg antiferromagnet with ultracold bosons. In a two-component Bose-Hubbard system, we switch the sign of the spin-exchange interaction and realize the isotropic antiferromagnetic Heisenberg model in an extended 70-site chain. Starting from a low-entropy N\&#39;eel-ordered state, the bosonic antiferromagnet is approached via an optimized adiabatic passage. We probe the evolution of staggered magnetization and spin correlations of the system, revealing the coherent establishment of the antiferromagnetism. Furthermore, the characteristic spin-rotational symmetry of the state and its robustness against decoherence are verified. Our experiment demonstrates a novel way for generating many-body spin correlations and exploring exotic forms of magnetism.

Quantum 2020

Realization of a bosonic antiferromagnet

ultracold quantum gases

many-body physics

quantum magnetism

quantum simulation

The Institute of Physics and IOP Publishing, in partnership with the Chinese Physical Society (CPS) and the University of Science and Technology of China (USTC) are proud to have brought together the international quantum science community online for this inaugural conference.


Early career and leading researchers from universities, industry and government worldwide came together to share, learn and collaborate on the latest research and emerging areas of high interest across quantum science and technology. The broad themes covered by Quantum 2020 included:

Quantum communication;
Quantum computing and quantum simulation;
Quantum sensing, metrology and imaging;
Quantum information theory, software and algorithms;
Quantum foundations;
Quantum technology in industry.
The four-day event featured talks from world-renowned scientists, interactive poster sessions and two exciting panel discussions on the themes of Quantum Technology in Industry and Quantum Technology Programmes Around the World.


You will need to [register](https://www.iopconferences.org/iop/frontend/reg/tRegisterEmailNew.csp?pageID=978403&eventID=1552&tempPersonID=536224) to obtain a ticket. . If you have already registered you should have been sent an email from Underline (to the email address that you registered with) with the subject line ‘Welcome to Quantum 2020’. This email includes your ticket for the event. 

If you have a ticket and are experiencing problems in accessing the event, please contact us. 

The Institute of Physics and IOP Publishing, in partnership with the Chinese Physical Society (CPS) and the University of Science and Technology of China (USTC) are proud to have brought together the international quantum science community online for this inaugural conference.

Early career and leading researchers from universities, industry and government worldwide came together to share, learn and collaborate on the latest research and emerging areas of high interest across quantum science and technology. 

Quantum antiferromagnet is of fundamental interest as it becomes a fertile ground for studying exotic many-body states including spin liquids and high-temperature superconductors. Compared with condensed matter systems, ultracold gases in optical lattices can be microscopically engineered and provide a unique opportunity for exploring bosonic magnetism and spin dynamics. Here, we report on the creation of a one-dimensional Heisenberg antiferromagnet with ultracold bosons. In a two-component Bose-Hubbard system, we switch the sign of the spin-exchange interaction and realize the isotropic antiferromagnetic Heisenberg model in an extended 70-site chain. Starting from a low-entropy N\'eel-ordered state, the bosonic antiferromagnet is approached via an optimized adiabatic passage. We probe the evolution of staggered magnetization and spin correlations of the system, revealing the coherent establishment of the antiferromagnetism. Furthermore, the characteristic spin-rotational symmetry of the state and its robustness against decoherence are verified. Our experiment demonstrates a novel way for generating many-body spin correlations and exploring exotic forms of magnetism.

technical paper

Continuous variable quantum key distribution (CV-QKD) has made great progress recent years. Throughput of error correction is one of the bottlenecks for CV-QKD. For typical distance of CV-QKD system, the signal-to-noise ratio is low, and a large number of iterations is needed for decoder. Since scheduling strategy is an important factor of the decoder’s convergence rate, in this paper, the performance of three different scheduling strategies (flooding scheduling, layered scheduling by row, layered scheduling by column) is compared. The algorithm complexity, adaptation to the parity check matrix, and throughput performance are studied. For the typical parity check matrix for CV-QKD system, the results show that layered scheduling by column is the best method. Throughput of more than 70 Mbits/s is achieved by this method, which surpasses the record in the literature and can improve the real-time processing capacity of CV-QKD system.

Study on error correction decoder scheduling strategies for continuous variable quantum key distribution system

"HqHop: Hybrid Quantum Hopfield Neural Network for Portfolio Selection

RP Mahajan 
 
Faculty at Dept. of Computer Science & Engineering, SIRT, SAGE University, India
E-mail: rpmahajan.sage@gmail.com ; rpmahajan@yahoo.com

 
Abstract: Classical Hopfield neural networks (CHNN) are known for solving portfolio selection problem for asset management. A Hybrid Quantum Hopfield Neural Network (HqHop) is proposed to solve portfolio selection problem based on Markowitz mean variance approach. Due to the large number of portfolios, the CHNN requires huge memory and processing power. The inbuilt parallelism in CHNN makes it more suitable for quantum based system. This paper details an approach, perhaps the first time, for the solution of portfolio selection problem using the involved concept. The developed HqHop can be used for solving other optimization problems as well.

"

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Study on error correction decoder scheduling strategies for continuous variable quantum key distribution system

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Next from Quantum 2020

Study on error correction decoder scheduling strategies for continuous variable quantum key distribution system

Similar lecture

Digital quantum simulation of molecular dynamics and control

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads