filmov
tv
Adaptive Quantum Simulation Algorithms: State of the Art and Outlook | Qiskit Quantum Seminar
Показать описание
Adaptive quantum simulation algorithms: state of the art and outlook
Qiskit Quantum Seminar with Sophia Economou
Abstract:
Variational quantum algorithms (VQAs) constitute a class of hybrid quantum-classical simulation algorithms that are envisioned for quantum simulation and optimization, possibly in the near term. For VQAs to be useful, it is important to reduce the size of the ansatz and the number of required measurements. I will present our work addressing these challenges with ADAPT-VQE, an adaptive, problem tailored approach to ansatz construction. I will also discuss a pulse-based alternative for variational algorithms.
Bio:
Sophia E. Economou is an American physicist who is a professor and the T. Marshall Hahn Chair in Physics at Virginia Tech. She directs the Virginia Tech Center for Quantum Information Science and Engineering.
Qiskit Quantum Seminar with Sophia Economou
Abstract:
Variational quantum algorithms (VQAs) constitute a class of hybrid quantum-classical simulation algorithms that are envisioned for quantum simulation and optimization, possibly in the near term. For VQAs to be useful, it is important to reduce the size of the ansatz and the number of required measurements. I will present our work addressing these challenges with ADAPT-VQE, an adaptive, problem tailored approach to ansatz construction. I will also discuss a pulse-based alternative for variational algorithms.
Bio:
Sophia E. Economou is an American physicist who is a professor and the T. Marshall Hahn Chair in Physics at Virginia Tech. She directs the Virginia Tech Center for Quantum Information Science and Engineering.
1:17:48
Adaptive Quantum Simulation Algorithms: State of the Art and Outlook | Qiskit Quantum Seminar
0:31:12
Sophia Economou: Adaptive Quantum Simulation Algorithms
1:01:03
Sophia Economou - Adaptive quantum simulation algorithms - IPAM at UCLA
0:19:15
Adaptive Variational Quantum Simulation -- Niladri Gomes
0:00:46
Day in My Life as a Quantum Computing Engineer!
0:16:08
Quantum Chimera States and The Computation of Nature as a Complex Adaptive Quantum Network
0:39:10
Learning to measure - A new adaptive approach to extract information in algorithms for NISQ devices
0:08:23
An Adaptive Hybrid Quantum Algorithm for the Metric Traveling Salesman (Published in IEEE IPDPS)
0:44:09
Improving variational quantum algorithms with an adaptive technique | QSD2023
0:22:02
Quantum algorithms and the power of forgetting
1:02:06
MLQC4Dyn:ADAPTive variational quantum algorithms for Gibbs state preparation Ada Warren
0:26:06
Machine Learning for Quantum Simulation - Sophia Economou (June 29, 2020)
0:59:48
Towards efficient quantum simulation on near-term devices
0:14:51
Machine Learning for Quantum Simulation - Yusuke Nomura (June 23, 2020)
0:57:17
QuCS Lecture6: Prof. Tongyang Li (Peking University): Adaptive Online Learning of Quantum States
0:32:14
Mile Gu: Can Quantum Machines Execute Complex Adaptive Strategies more Efficiently?
0:17:34
Quantum algorithms from fluctuation theorems
1:11:32
Andrew Childs: Digital Quantum Simulation Algorithms (Part 1)
0:33:10
AQC 2016 - Testing Adiabatic Quantum Computers Using Simple Quantum Simulation
0:57:09
Simulating dynamics using a quantum computer
0:58:58
Quantum algorithms for approximate function loading [QCT21/22, Seminar #06]
0:13:13
Machine Learning for Quantum Simulation - Christian Mendl (June 23, 2020)
0:37:08
Quantum Nature of Reality: Quantum Physics, Complexity, Chaos, Chimera States and Computing.
0:44:44
Recent Advances in Quantum Simulation with Applications to Chemistry and Field Theory
Комментарии