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Andrew Childs - Efficient quantum algorithm for dissipative nonlinear differential equations
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Quantum Numerical Linear Algebra
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- 1 Andrew Childs - Efficient quantum algorithm for dissipative nonlinear differential equations
- 2 Di Fang - Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics - IPAM at UCLA
- 3 Andras Gilyen - Quantum Algorithms for Quantum Information Processing Tasks - IPAM at UCLA
- 4 Dan Stamper-Kurn - Approaches to quantum information processing with cold atoms - IPAM at UCLA
- 5 Yulong Dong - Fast algorithms for quantum signal processing - IPAM at UCLA
- 6 Rolando Somma - The Quantum Linear Systems Problem - IPAM at UCLA
- 7 Iordanis Kerenidis - New results in quantum linear algebra - IPAM at UCLA
- 8 Jarrod McClean - Dequantization and quantum advantage in learning from experiments - IPAM at UCLA
- 9 Ewin Tang - On quantum linear algebra for machine learning - IPAM at UCLA
- 10 Seth Lloyd - Quantum polar decomposition - IPAM at UCLA
- 11 Dong An - Improved complexity estimation for Hamiltonian simulation with Trotter formula
- 12 Dominic Berry - Optimal scaling quantum linear systems solver via discrete adiabatic theorem
- 13 Garnet Chan - Arithmetic tensor networks and integration - IPAM at UCLA
- 14 Anirban Chowdhury - Classical and quantum algorithms for estimating traces and partition functions
- 15 Sophia Economou - Problem-tailored variational quantum algorithms - IPAM at UCLA
- 16 Yu Tong - Heisenberg-limited ground state energy estimation & early fault-tolerant quantum computers
- 17 Kirsten Eisentraeger - Classical and quantum algorithms for isogeny problems - IPAM at UCLA
- 18 Jin-Peng Liu - Efficient quantum algorithms for nonlinear ODEs and PDEs - IPAM at UCLA
- 19 Carlos Bravo-Prieto - Variational quantum architectures for linear algebra applications
- 20 Alexandra Kolla - Quantum Approximate Optimization Algorithm (QAOA) and Local Max-Cut - IPAM at UCLA
- 21 Chao Yang - Practical Quantum Circuits for Block Encodings of Sparse Matrices - IPAM at UCLA
- 22 Maria Kieferova - Training quantum neural networks with an unbounded loss function - IPAM at UCLA
