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Passive subspace and subsystem protection interface
Definition
Let , and be nonzero finite-dimensional complex inner-product spaces, and let be an isometry. Write for the linear operators on , and . Let be a specified family of channels from to itself. The image of is the specified block; its first and second tensor factors are called the logical and gauge subsystems, respectively.
The logical subsystem is noiseless for in this interface if, for every , there is a channel such that on all of . Thus the block is invariant in the sense that every encoded operator has output supported on the block, while the logical factor has identity action and the gauge factor may evolve.
When , this condition defines a decoherence-free subspace for the family: the induced action on operators of the encoded subspace is the identity. A separate, explicitly tracked-unitary convention permits a specified unitary on for each and replaces the identity factor by ; it is not the identity-action condition unless that induced conjugation is the identity. A change in a noise map, including one described as a symmetry perturbation, must satisfy the relevant displayed factorization to retain the corresponding property. Energy-level degeneracy alone is not part of this definition.
Facts & Assumptions
The finite tensor product and its inner product are the ordered tensor construction of Ordered tensor registers, their inner product, and wire permutations.
A channel is a complex-linear, completely positive, trace-preserving map on the full finite-dimensional operator space, as in Finite-dimensional quantum channel.
Linear isometries preserve the induced norm, and a unitary operator is an invertible complex-linear isometry of a finite-dimensional inner-product space, as in Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces.
The adjoint is characterized by with the inner product linear in the first argument, as in The adjoint T^*:W→ V is characterised by ⟨ Tv,w⟩_W=⟨ v,T^*w⟩_V; every linear map between finite-dimensional inner-product spaces has a unique such adjoint by Every linear map between finite-dimensional inner product spaces has a unique adjoint.
Tensor products of linear maps are the unique linear extensions of their prescribed action on elementary tensors, as in Tensor products of finitely many linear maps. This applies both to operators on the factors and to linear maps on their finite-dimensional operator spaces.
For specified ordered orthonormal bases of finite-dimensional complex inner-product spaces, the tensors of the associated operator matrix units form a basis of the full operator space on the tensor product, by Tensor products of operator matrix units form a basis.
Justification
The tensor construction in [F1] gives the domain of the isometry in [F3] and a product basis. The finite-dimensional adjoint existence in [F4] makes well-defined, so has the stated operator-space domain and codomain. On elementary operator tensors the expression extends linearly and uniquely: [F5] constructs the tensor map on , and [F6] identifies that space with by its product matrix-unit basis. Both sides of the defining equality are therefore linear maps with the same domain and codomain. For a one-dimensional gauge space every operator is a scalar multiple of its identity, and trace preservation in [F2] forces its channel to be the identity; the stated subspace specialization follows. The tracked-unitary version is a separately specified convention, with using the unitary in [F3] and its adjoint from [F4].
Source notes
The source describes a noiseless factor through interaction operators that act on its cofactor. The definition above states the channel-level interface used here and does not assert that an arbitrary energy degeneracy supplies its factorization.
Depends on
- Ordered tensor registers, their inner product, and wire permutations
- Finite-dimensional quantum channel
- Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces
- The adjoint T^*:W→ V is characterised by ⟨ Tv,w⟩_W=⟨ v,T^*w⟩_V
- Every linear map between finite-dimensional inner product spaces has a unique adjoint
- Tensor products of finitely many linear maps
- Tensor products of operator matrix units form a basis
- Theory of Quantum Error Correction for General Noise · PDF p. 3, Noiseless Subsystems
Dependency tree · 2 levels
Each result is drawn at its shortest distance from this item. Arrows run from prerequisites to the items that use them; this item has a heavier outline. External source nodes link directly to the cited text. The view shows up to two dependency steps; open a prerequisite to continue.
External dependencies
In the interaction-algebra decomposition, a factor on which the interaction operators act trivially is a noiseless subsystem; noiseless subspaces are special cases.
Hypotheses: The source's finite-dimensional interaction-algebra setting and its stated decomposition.
Reading limits: Read the Noiseless Subsystems passage on PDF p. 3. The channel-level contract and tracked-unitary convention below are local formulations; the source passage is not asserted to state those formulas or to prove their equivalence with every other convention.
Sources
- Theory of Quantum Error Correction for General Noise · PDF p. 3, Noiseless Subsystems