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Machine learning algorithm could change how we see quantum systems

Researchers at University of Bristol have developed a machine learning algorithm that sheds light on the physics underlying quantum systems.

Anthony laingQetlab brian flynnProfessor in bristol school of physicsUniversity of bristolQuantum engineering technology labsHamiltonian modelNature physicsAssociate professorஅந்தோணி முட்டையிடும்பல்கலைக்கழகம் ஆஃப் பிரிஸ்டல்குவாண்டம் பொறியியல் தொழில்நுட்பம் ஆய்வகங்கள்இயற்கை இயற்பியல்இணை ப்ரொஃபெஸர்

Researchers Develop Machine Learning Algorithm to Help Further Understand Quantum Systems

Zooming in on a wafer of D-Wave Quantum Computers Bayers Factors In the paper entitled Learning models of quantum systems from experiments, published in Nature Physics, quantum mechanics from QET Labs of Bristol are describing an algorithm that overcomes such challenges by functioning as an independent agent, through the use of machine learning to oppose or contradict engineer Hamiltonian models. Essentially, the research team developed a new protocol for the formulation and validation of approximate models for quantum systems of interest. As indicated in their study, the researchers algorithm is working independently, designing and carrying out experiments on the aimed quantum system, with the resulting data being fed back into the algorithm.

Wikimedia commonsBristol qetlabsAnthony laingSteve jurvetsonBrian flynnAndreas gentileDepartment of statisticsUniversity of bristol quantum engineering technology labsQu coProfessor in school of physics bristolUniversity of bristol qetlabsQuantum engineering centerUniversity of washington as bayersQuantum computersQuantum engineering technology labsGiant magellan telescope

Machine Learning Algorithm Helps Unravel the Physics Underlying Quantum Systems

Machine Learning Algorithm Helps Unravel the Physics Underlying Quantum Systems
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Bristol qetlabsSebastian knauerAnthony laingBrian flynnAndreas gentileUniversity quantum engineering technology labs qetlabsUniversity of vienna faculty physicsQu coProfessor in bristol school of physicsUniversity of bristol qetlabsQuantum engineering centre for doctoral trainingQuantum engineering technology labsNature physicsQuantum engineering centreAssociate professorசெபாஸ்டியன் நவர்

Machine learning algorithm could change how we see quantum systems

Machine learning algorithm could change how we see quantum systems
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Anthony laingQetlab brian flynnBristol school of physicsUniversity of bristolQuantum engineering technology labsNature physicsஅந்தோணி முட்டையிடும்பிரிஸ்டல் பள்ளி ஆஃப் இயற்பியல்பல்கலைக்கழகம் ஆஃப் பிரிஸ்டல்குவாண்டம் பொறியியல் தொழில்நுட்பம் ஆய்வகங்கள்இயற்கை இயற்பியல்

Machine learning algorithm helps unravel physics underlying quantum systems

The nitrogen vacancy centre set-up, that was used for the first experimental demonstration of QMLA. Some authors of the paper: Rafaelle Santagati (top left); Andreas Gentile (top right); Sebastian Knauer (bottom left); Brian Flynn (bottom right). Scientists from the University’s Quantum Engineering Technology Labs (QETLabs) have developed an algorithm that provides valuable insights into the physics underlying quantum systems – paving the way for significant advances in quantum computation and sensing, and potentially turning a new page in scientific investigation. In physics, systems of particles and their evolution are described by mathematical models, requiring the successful interplay of theoretical arguments and experimental verification. Even more complex is the description of systems of particles interacting with each other at the quantum mechanical level, which is often done using a Hamiltonian model. The process of formulating Hamiltonian models from observations is m

Bristol qetlabsSebastian knauerAnthony laingRafaelle santagatiBrian flynnAndreas gentileUniversity quantum engineering technology labs qetlabsUniversity of vienna faculty physicsQu coProfessor in bristol school of physicsUniversity of bristol qetlabsQuantum engineering centre for doctoral trainingQuantum engineering technology labsNature physicsQuantum engineering centreAssociate professor