March 2021
Intermediate to advanced
373 pages
11h 20m
English
book
Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit
by Santanu Pattanayak
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Index
A
Abelian group
Adiabatic theorem
proof
B
Bell’s inequality test
Bell state
multiple-qubit state
quantum entanglement
quantum gates
Bernstein–Vajirani algorithm
Bloch sphere representation
collapse
complex numbers
global phase
measurements
parameters
qubit state
Bra vector
C
Cirq
cirq.inverse method
Cirq quantum circuits
Classical computing
classical_to_quantum_data_circuit function
Computational basis states
Continued fractions algorithm
Copenhagen interpretation
D
data_preprocessing function
Deep learning models, backpropagation
Density operator
approximation unitary operators
Bell state, partial trace
deferred measurement
ERP paradox/local realism/bell’s inequality
measurements
mixed quantum state
mixed quantum state, evolution
mixed state vs. pure state
multiple quantum systems ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.