optimal learning of quantum hamiltonians from high-temperature gibbs states
Published Streamed 3 years ago • 651 plays • Length 44:00Download video MP4
Download video MP3
Similar videos
-
26:06
qip 2022 | optimal learning of quantum hamiltonians from high-temperature gibbs states (ewin tang)
-
1:25:54
quantum gibbs sampling
-
28:07
designing hamiltonians for quantum adiabatic optimization
-
15:55
shor's algorithm — programming on quantum computers — coding with qiskit s2e7
-
1:17:25
introduction to quantum hamiltonian complexity
-
55:38
isaac chuang - grand unification of quantum algorithms
-
1:06:42
quantum hamiltonian complexity
-
1:39:30
efficient quantum gibbs samplers | quantum colloquium
-
25:19
quantum np and beyond
-
38:17
quantum computational advantage with constant-temperature gibbs sampling
-
8:20
quantum information theory 37:: gibbs state
-
1:45:00
efficient quantum gibbs samplers | quantum colloquium
-
45:09
recent algorithmic primitives: linear combination of unitaries and quantum signal processing
-
49:29
circuit lower bounds for low-energy states of quantum code hamiltonians
-
45:20
hamiltonian complexity in the thermodynamic limit
-
43:46
classical algorithms, correlation decay, and complex zeros of quantum partition functions
-
41:07
quantum algorithm for simulating real time evolution of lattice hamiltonians