Dequantizing the Quantum Singular Value Transform
summary
Introduces GLH (guided local Hamiltonian) and claims two sharp results: with a sampling-access representation of a guiding state, sparse Hamiltonians and constant precision let a classical polynomial-time algorithm dequantize the QSVT (uses randomized sampling like Tang, sparse matrix queries, Chebyshev-style polynomial filtering and inner-product estimation; epsilon ≤ 1/8, constant overlap delta suffices). Conversely, giving a simple semi-classical subset state and requiring 1/poly precision makes GLH BQP‑hard via Feynman–Kitaev history states, idling tricks and Anderson-style gadgets, so the classical fix fails at chemist precision.
AI-written summary · about
chapters (5)
- 0:00Start
- 1:32Guiding questions
- 17:02Punchline
- 34:49Quantum PCP conjecture
- 38:40Tool 2: Block encoding à la Ambainis
related talks
01h 36mAlgorithms for Algebraic Lattices: Classical and Quantum
31mDemonstrating an Unconditional Separation Between Quantum and Classical Information Resources
58mQuantum 2
01h 04mQuantum 1
48mCommitments to Quantum States
01h 13mQuantum Money based on Lattices
33mSolving SVP and CVP in 2^n time with Discrete Gaussian Sampling – Noah Stephens-Davidowitz
01h 26mQuantum FHE
