Mathematical and Computational Challenges in Quantum Computing Tutorials - 2023

Mathematical and Computational Challenges in Quantum Computing Tutorials - 2023

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Yu Tong - The Heisenberg limit and early fault-tolerant quantum algorithms, part 2/2 - IPAM at UCLA

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13 of 14

Yu Tong - The Heisenberg limit and early fault-tolerant quantum algorithms, part 2/2 - IPAM at UCLA

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Mathematical and Computational Challenges in Quantum Computing Tutorials - 2023

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  1. 1 Nicolas Delfosse - Introduction to quantum error correction, part 1/3 - IPAM at UCLA
  2. 2 Hsin Yuan Huang (Robert) - Learning theory in the quantum universe - IPAM at UCLA
  3. 3 Di Fang - Quantum algorithms for dynamics simulation: Hamiltonian simulation & general differential
  4. 4 Dong An - Introduction to quantum linear algebra, part 1 of 3 - IPAM at UCLA
  5. 5 Nicolas Delfosse - Introduction to quantum error correction, part 2/3 - IPAM at UCLA
  6. 6 Hsin-Yuan Huang (Robert) - Classical ML for quantum problems - IPAM at UCLA
  7. 7 Di Fang - Quantum algorithms for dynamics simulation: differential equations - IPAM at UCLA
  8. 8 Yu Tong - The Heisenberg limit and early fault-tolerant quantum algorithms, part 1/2 - IPAM at UCLA
  9. 9 Nicolas Delfosse - Introduction to quantum error correction, part 3/3 - IPAM at UCLA
  10. 10 Dong An - Introduction to quantum linear algebra, part 2/3 - IPAM at UCLA
  11. 11 Dong An - Introduction to quantum linear algebra, part 3/3 - IPAM at UCLA
  12. 12 Pedram Roushan - Quantum simulation with noisy intermediate-scale quantum processors, part 1/2
  13. 13 Yu Tong - The Heisenberg limit and early fault-tolerant quantum algorithms, part 2/2 - IPAM at UCLA
  14. 14 Pedram Roushan - Quantum simulation with noisy intermediate-scale quantum processors, part 2/2

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