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Andrew Baczewski - Quantum computation of stopping power for inertial fusion target design
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Classroom Contents
Quantum Algorithms for Scientific Computation Workshop 2023
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- 1 Anthony (Chi-Fang) Chen - “Quantum” Markov Chain Monte Carlo algorithm - IPAM at UCLA
- 2 Jingbo Wang - Quantum walk, efficient implementation, and potential application - IPAM at UCLA
- 3 Kianna Wan - Fast multipole method on a quantum computer - IPAM at UCLA
- 4 Yu Tong - Recent progress in Hamiltonian learning - IPAM at UCLA
- 5 Lin Lin - Single-ancilla ground state preparation via Lindbladians - IPAM at UCLA
- 6 Christian Mendl - Aspects of quantum simulation of the Fermi-Hubbard model - IPAM at UCLA
- 7 Jianfeng Lu - Lindblad Equations: Variational Analysis and Numerical Methods - IPAM at UCLA
- 8 Jin Peng Liu - Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Machine Learning
- 9 Rolando Somma - Quantum algorithm for simulating coupled classical oscillators - IPAM at UCLA
- 10 Xiantao Li - Open quantum systems in quantum computing - IPAM at UCLA
- 11 Zhiyan Ding - Optimized signal for Quantum phase estimation on early fault-tolerant quantum computer
- 12 Dong An - Linear combination of Hamiltonian simulation for non-unitary dynamics - IPAM at UCLA
- 13 Lexing Ying - Q-PDO and Robust QPE - IPAM at UCLA
- 14 Zane Rossi - Modular quantum signal processing with gadgets - IPAM at UCLA
- 15 Mario Berta - Quantum state preparation without coherent arithmetic - IPAM at UCLA
- 16 Chao Yang - An Efficient Block Encoding Quantum Circuit for a Pairing Hamiltonian - IPAM at UCLA
- 17 Andras Gilyen - Quantum algorithmic tools for simulating open quantum systems - IPAM at UCLA
- 18 Konstantina Trivisa - Efficient Quantum algorithms for linear and non-linear differential equations
- 19 Di Fang - Time-marching strategy can work quantumly for differential equations - IPAM at UCLA
- 20 Robin Kothari - Mean estimation when you have the source code; or, quantum Monte Carlo methods
- 21 Ruizhe Zhang - Quantum Speedups of Continuous Sampling and Optimization Problems - IPAM at UCLA
- 22 Peter Johnson - In pursuit of the first useful quantum computations for chemistry - IPAM at UCLA
- 23 Alexander Kemper - Quantum algorithms for dynamics and dynamical observables - IPAM at UCLA
- 24 Andrew Baczewski - Quantum computation of stopping power for inertial fusion target design
- 25 Yuan Su - On the complexity of implementing Trotter steps - IPAM at UCLA
