届数: 4 浏览:5125关注:1参加:0 征稿 All topics relevant to Quantum Software are of interest including, but not limited to the following: Quantum Software Development Development Process for Quantum Applications Lifecycle Models for Quantum Applications Data Preparation Techniques Error Mitigation Techniques...
quantum physicsneural networksquantum state tomographyinformation theoryrestricted Boltzmann machinesWe review the development of generative modeling techniques in machine learning for the purpose of reconstructing real, noisy, many-qubit quantum states. Motivated by its interpretability and utility, we discuss...
Synergizing quantum techniques with machine learning for advancing drug discovery challenge Article Open access 28 December 2024 Exploring chemical compound space with quantum-based machine learning Article 12 June 2020 QM7-X, a comprehensive dataset of quantum-mechanical properties spanning the chemic...
In many cases, including in quantum-dot based architectures, the parameter space grows substantially with the number of qubits, and may become a limit to scalability. Fortunately, machine learning techniques for pattern recognition and image classification using so-called deep neural networks have ...
Most quantum algorithms offering speedups over classical algorithms are based on the three techniques of phase estimation, amplitude estimation and Hamiltonian simulation. In spite of the linear algebraic nature of the postulates of quantum mechanics, until recent work by Lloyd and coauthors cite{LMR13...
Conventional machine learning approaches applied for the security intrusion detection degrades in case of big data input (106 and more samples in a dataset). Model training and computing by traditional machine learning executed on big data at a common computing environment may produce accurate outputs...
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research ...
More recently, quantum machine learning techniques such as annealing have shownbusiness promiseby optimising the yields of financial assets or the calculation of credit ratings. Quantum techniques in machine learning are also likely to become important inmedical technologyor drug design as the principles...
In this article we give a brief overview of machine learning techniques and explain how and where quantum machine learning is expected to deliver benefits. Next, we introduce quantum computing in general and the Quantum Inspire platform, an online quantum computing platform developed by QuTech in ...
Synergizing quantum techniques with machine learning for advancing drug discovery challenge Article Open access 28 December 2024 References Kirkpatrick, P. & Ellis, C. Chemical space. Nature 432, 823 (2004). Article CAS Google Scholar Mullard, A. The drug-maker’s guide to the galaxy. Nat...