Classification of Hybrid Quantum-Classical Computing

As quantum computers mature, the applicability in practice becomes more important. Many uses of quantum computers will be hybrid, with classical computers still playing an important role in operating and using the quantum computer. The term hybrid is however diffuse and multi-interpretable. In this work we define two classes of hybrid quantum-classical computing: vertical and horizontal. The first is application-agnostic and concerns using quantum computers. The second is application-specific and concerns running an algorithm. For both, we give a further subdivision in different types of hybrid quantum-classical computing and we coin terms for them

Atropselective syntheses of (-) and (+) rugulotrosin A utilizing point-to-axial chirality transfer

Chiral, dimeric natural products containing complex structures and interesting biological properties have inspired chemists and biologists for decades. A seven-step total synthesis of the axially chiral, dimeric tetrahydroxanthone natural product rugulotrosin A is described. The synthesis employs a one-pot Suzuki coupling/dimerization to generate the requisite 2,2'-biaryl linkage. Highly selective point-to-axial chirality transfer was achieved using palladium catalysis with achiral phosphine ligands. Single X-ray crystal diffraction data were obtained to confirm both the atropisomeric configuration and absolute stereochemistry of rugulotrosin A. Computational studies are described to rationalize the atropselectivity observed in the key dimerization step. Comparison of the crude fungal extract with synthetic rugulotrosin A and its atropisomer verified that nature generates a single atropisomer of the natural product.P50 GM067041 - NIGMS NIH HHS; R01 GM099920 - NIGMS NIH HHS; GM-067041 - NIGMS NIH HHS; GM-099920 - NIGMS NIH HH

Indoor–Outdoor Detection in Mobile Networks Using Quantum Machine Learning Approaches

Communication networks are managed more and more by using artificial intelligence. Anomaly detection, network monitoring and user behaviour are areas where machine learning offers advantages over more traditional methods. However, computer power is increasingly becoming a limiting factor in machine learning tasks. The rise of quantum computers may be helpful here, especially where machine learning is one of the areas where quantum computers are expected to bring an advantage. This paper proposes and evaluates three approaches for using quantum machine learning for a specific task in mobile networks: indoor–outdoor detection. Where current quantum computers are still limited in scale, we show the potential the approaches have when larger systems become available

Encounter-Based Density Approximation Using Multi-step and Quantum-Inspired Random Walks

In this paper we study encounter-based density estimation using different random walks and analyse the effects of the step-size on the convergence of the density approximation. Furthermore, we analyse different types of random walks, namely, a uniform random walk, with every position equally likely to be visited next, a classical random walk and a quantum-inspired random walk, where the probability distribution for the next state is sampled from a quantum random walk. We find that walks with additional steps lead to faster convergence, but that the type of step, quantum-inspired or classical, has only a marginal effect

Indoor–Outdoor Detection in Mobile Networks Using Quantum Machine Learning Approaches

Communication networks are managed more and more by using artificial intelligence. Anomaly detection, network monitoring and user behaviour are areas where machine learning offers advantages over more traditional methods. However, computer power is increasingly becoming a limiting factor in machine learning tasks. The rise of quantum computers may be helpful here, especially where machine learning is one of the areas where quantum computers are expected to bring an advantage. This paper proposes and evaluates three approaches for using quantum machine learning for a specific task in mobile networks: indoor–outdoor detection. Where current quantum computers are still limited in scale, we show the potential the approaches have when larger systems become available

Quantum computing for radar and sonar information processing

Radar and sonar information processing is a promising application area of quantum computing in the near future. Many use cases in this area can are computational heavy and might benefit greatly from a quantum approach. In this paper, an overview of use cases in this application area is given and scored on quantum readiness, added value and expected horizon. From this overview acoustic localisation, generative models, compressive sensing, normalisation and classification are selected as the most promising application areas

Quantum computing for radar and sonar information processing

Radar and sonar information processing is a promising application area of quantum computing in the near future. Many use cases in this area can are computational heavy and might benefit greatly from a quantum approach. In this paper, an overview of use cases in this application area is given and scored on quantum readiness, added value and expected horizon. From this overview acoustic localisation, generative models, compressive sensing, normalisation and classification are selected as the most promising application areas

The enemy within: rethinking arms availability in sub-Saharan Africa

Over the past decade small arms and light weapons availability has been singled out as one of sub-Saharan Africa's highest profile challenges. Yet the construction of the threat of arms availability as one of authorised trade and illicit trafficking across international borders has resulted in a narrow focus on regulating lawful exports and imports and brokers. While these are real and legitimate concerns, the authors contend that small arms and light weapons availability should be re-evaluated as a complex social phenomenon involving dynamic supply and demand dimensions. A limited emphasis on controlling authorised transfers to war zones glosses over the challenges of illegal markets, the gradual emergence of national arms production capacities across Africa and the systematic diversion of weapons and ammunition surplus from the domestic stocks of security services into civilian hands. It also obscures a more dynamic landscape of armed violence across the continent which extends beyond war zones. Whilst the conventional interpretation of arms availability is favoured by African diplomats and international arms control experts, such a reading potentially obscures the weaknesses of security governance and the myriad motivations and means shaping small arms and light weapons acquisition and misuse amongst armed groups and civilians