Zobrazeno 1 - 10
of 11 196
pro vyhledávání: '"Chancellor A"'
Autor:
Gerblich, Lasse, Dasanjh, Tamanna, Wong, Horatio Q. X., Ross, David, Novo, Leonardo, Chancellor, Nicholas, Kendon, Viv
Methods to find the solution state for optimization problems encoded into Ising Hamiltonians are a very active area of current research. In this work we compare the quantum approximate optimization algorithm (QAOA) with multi-stage quantum walks (MSQ
Externí odkaz:
http://arxiv.org/abs/2407.06663
Autor:
Nguyen, Lac, Miri, Mohammad-Ali, Rupert, R. Joseph, Dyk, Wesley, Wu, Sam, Vrahoretis, Nick, Huang, Irwin, Begliarbekov, Milan, Chancellor, Nicholas, Chukwu, Uchenna, Mahamuni, Pranav, Martinez-Delgado, Cesar, Haycraft, David, Spear, Carrie, Campanelli, Mark, Huffman, Russell, Sua, Yong Meng, Huang, Yuping
Modern quantum technologies using matter are designed as closed quantum systems to isolate them from interactions with the environment. This design paradigm greatly constrains the scalability and limits practical implementation of such systems. Here,
Externí odkaz:
http://arxiv.org/abs/2407.04512
The application of quantum algorithms to classical problems is generally accompanied by significant bottlenecks when transferring data between quantum and classical states, often negating any intrinsic quantum advantage. Here we address this challeng
Externí odkaz:
http://arxiv.org/abs/2406.19996
An important issue impacting healthcare is a lack of available experts. Machine learning (ML) models could resolve this by aiding in diagnosing patients. However, creating datasets large enough to train these models is expensive. We evaluated large l
Externí odkaz:
http://arxiv.org/abs/2405.06695
The field of digital mental health is advancing at a rapid pace. Passively collected data from user engagements with digital tools and services continue to contribute new insights into mental health and illness. As the field of digital mental health
Externí odkaz:
http://arxiv.org/abs/2404.14548
Publikováno v:
New J. Phys. 26 103005 (2024)
The standard approach to encoding constraints in quantum optimization is the quadratic penalty method. Quadratic penalties introduce additional couplings and energy scales, which can be detrimental to the performance of a quantum optimizer. In quantu
Externí odkaz:
http://arxiv.org/abs/2404.05476
Constrained combinatorial optimization problems, which are ubiquitous in industry, can be solved by quantum algorithms such as quantum annealing (QA) and the quantum approximate optimization algorithm (QAOA). In these quantum algorithms, constraints
Externí odkaz:
http://arxiv.org/abs/2404.05467
Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter
Publikováno v:
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
Social media data has been used for detecting users with mental disorders, such as depression. Despite the global significance of cross-cultural representation and its potential impact on model performance, publicly available datasets often lack cruc
Externí odkaz:
http://arxiv.org/abs/2406.15362
With the advent of exascale computing, effective load balancing in massively parallel software applications is critically important for leveraging the full potential of high performance computing systems. Load balancing is the distribution of computa
Externí odkaz:
http://arxiv.org/abs/2403.05278
Autor:
Gu, Haidong, Gaw, Nathan, Wang, Yinan, Johnstone, Chancellor, Beauchene, Christine, Yuditskaya, Sophia, Rao, Hrishikesh, Chou, Chun-An
Discovering human cognitive and emotional states using multi-modal physiological signals draws attention across various research applications. Physiological responses of the human body are influenced by human cognition and commonly used to analyze co
Externí odkaz:
http://arxiv.org/abs/2401.02905