The Learnability of Quantum States
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Transcript The Learnability of Quantum States
Generating Random Stabilizer States
in Matrix Multiplication Time:
A Theorem in Search of an Application
Scott Aaronson
David Chen
Stabilizer States
n-qubit quantum states that can be produced from |0…0
by applying CNOT, Hadamard, and 1 0 gates only
0
i
By the celebrated Gottesman-Knill Theorem, such states
are classically describable using 2n2+n bits:
XII
1 0 0 0 0 0
0 1
00 11
IXX 0 1 1 0 0 0
2
2
IZZ
0 0 0 0 1 1
X
The X and Z matrices must satisfy:
(1) XZT is symmetric
(2) (XZ) (considered as an n2n matrix) has rank n
Z
How Would You Generate A classical description of a
Uniformly-Random Stabilizer State?
Our original motivation: Generating random stabilizer
measurements, in order to learn an unknown stabilizer state
Obvious approach: Build up the stabilizer group, by
repeatedly adding a random generator independent of all
the previous generators
Takes O(n4) time—or rather, O(n+1), where 2.376 is the
exponent of matrix multiplication
More clever approach: O(n3) time
Our Result: Can generate a random stabilizer state in O(n) time
Our algorithm is a consequence of a new “Atomic Structure
Theorem” for stabilizer states…
Theorem: Every stabilizer state can be transformed, using
CNOT and Pauli gates only, into a tensor product of the
following four “stabilizer atoms”:
0,
0 1
2
,
0 i 1
2
,
00 01 10 11
2
(And even the fourth “atom”—which arises because of a peculiarity of
GF(2)—can be decomposed into the first three atoms, using the second or
third atoms as a catalyst)
With the Atomic Structure Theorem in hand, we can easily
generate a random stabilizer state as follows:
1. Generate a random tensor product | of stabilizer
atoms (and we’ve explicitly calculated the probabilities for each of
the poly(n) possible tensor products)
2. Generate a random circuit C of CNOT gates, by
repeatedly choosing an nn matrix over GF(2) until you
find one that’s invertible
3. Apply the circuit C to | (using [A|B][AC|BC-T])
4. Choose a random sign (+ or -) for each stabilizer
The running time is dominated by steps 2 and 3, both of
which take O(n) time
Open Problems
Find the killer app for fast generation of random stabilizer
states!
Find another application for our Atomic Structure Theorem!
Is it possible to generate a random invertible matrix over
GF(2) (i.e., a random CNOT circuit) in less than n time?