One Clean Qubit Explained
The One Clean Qubit model of computation is performed an
qubit system with one pure state and
maximally mixed states.
[1] This model was motivated by highly mixed states that are prevalent in
Nuclear magnetic resonance quantum computers. It's described by the
density matrix \rho=\left|0\right\rangle\langle0| ⊗
, where
is the
identity matrix. In
computational complexity theory,
DQC1; also known as the
Deterministic quantum computation with one clean qubit is the class of decision problems solvable by a one clean qubit machine in polynomial time, upon measuring the first qubit, with an error probability of at most 1/poly(n) for all instances.
Error Bounds and Composability
The most standard definition of DQC1 requires that measuring the output qubit correctly accepts or rejects the input, with error at most
for specified some polynomial
q, given a gap in acceptance probabilities of
for NO instances and
for YES instances. Most probabilistic classes, such as
BPP,
BQP, and
RP are agnostic to the precise probability gap, because any polynomial acceptance gap can be
amplified to a fixed gap such as (1/3,2/3). A notable outlier is
PP, which permits exponentially small gaps.
DQC1 does not admit an obvious notion of parallel composability or amplification: there is no clear construction to transform a circuit with, say, a (2/5,3/5) acceptance gap into a more accurate (1/5,4/5) acceptance gap.
It is known that DQC1 offers composability in the sense that the "one" clean qubit can be upgraded to "two" clean qubits, or even
many clean qubits, without modifying the class
[2] Computation with Unitaries and One Pure Qubit.D. J. Shepherd.
[3] Notes and References
- quant-ph/9802037 . Knill. Emanuel . Laflamme . Raymond Laflamme . Power of One Bit of Quantum Information. Physical Review Letters. 1998. 81. 25. 5672–5675. 10.1103/PhysRevLett.81.5672. 1998PhRvL..81.5672K . 118931256.
- quant-ph/0608132 . Shepherd . Dan . Computation with Unitaries and One Pure Qubit . 2006 .
- Shepherd's paper adopts the nonstandard notation of DQC1 referring only to the circuits and sampling problems, and use BQ1P to refer to decision problems.