Hybrid Variational Algorithms for Classical and Quantum Complex Systems
Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube
Course Description
Overview
Explore a comprehensive lecture on hybrid variational algorithms for classical and quantum complex systems presented by Elisa Ercolessi from the Università di Bologna. Delve into the potential of Quantum Computing for tackling hard classical problems and quantum many-body systems, while acknowledging the current limitations of NISQ devices. Examine hybrid classical-quantum protocols of variational type, which leverage quantum resources to efficiently prepare states dependent on carefully chosen variational parameters. Discover how these parameters can be optimized using classical computers, with a focus on compatibility with existing quantum platforms. Gain insights into the Quantum Approximate Optimization Algorithm (QAOA) through various applications to both classical and quantum systems, including emulations on classical hardware and a case study implemented on a real Rydberg atom quantum machine. Enhance your understanding of cutting-edge approaches in the field of complex systems and quantum computing through this 53-minute presentation from IPAM's Tensor Networks Workshop.
Syllabus
Elisa Ercolessi - Hybrid Variational Algorithms for Classical and Quantum Complex Systems
Taught by
Institute for Pure & Applied Mathematics (IPAM)
Related Courses
Classical Simulation of Quantum Many-body Systems with Tensor NetworksSimons Institute via YouTube Quantum Computing and the Difficulty of Simulating Quantum Many-Body Systems - Ignacio Cirac
Institute for Advanced Study via YouTube Ergodicity Breaking in Quantum Many-Body Systems
International Centre for Theoretical Sciences via YouTube Provably Efficient Machine Learning for Quantum Many-Body Problems
Simons Institute via YouTube On the Complexity of Quantum Many Body Systems
International Mathematical Union via YouTube