Decoherence-free Subspaces
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A decoherence-free subspace (DFS) is a subspace of a
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's Hilbert space that is invariant to non-
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dynamics. Alternatively stated, they are a small section of the system Hilbert space where the system is
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from the environment and thus its evolution is completely unitary. DFSs can also be characterized as a special class of quantum error correcting codes. In this representation they are ''passive'' error-preventing codes since these subspaces are encoded with information that (possibly) won't require any ''active'' stabilization methods. These subspaces prevent destructive environmental interactions by isolating
quantum information Quantum information is the information of the state of a quantum system. It is the basic entity of study in quantum information theory, and can be manipulated using quantum information processing techniques. Quantum information refers to both t ...
. As such, they are an important subject in quantum computing, where (
coherent Coherence, coherency, or coherent may refer to the following: Physics * Coherence (physics), an ideal property of waves that enables stationary (i.e. temporally and spatially constant) interference * Coherence (units of measurement), a deri ...
) control of quantum systems is the desired goal.
Decoherence Quantum decoherence is the loss of quantum coherence. In quantum mechanics, particles such as electrons are described by a wave function, a mathematical representation of the quantum state of a system; a probabilistic interpretation of the wa ...
creates problems in this regard by causing loss of coherence between the
quantum states In quantum physics, a quantum state is a mathematical entity that provides a probability distribution for the outcomes of each possible measurement on a system. Knowledge of the quantum state together with the rules for the system's evolution i ...
of a system and therefore the decay of their
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terms, thus leading to loss of information from the (open) quantum system to the surrounding environment. Since quantum computers cannot be isolated from their environment (i.e. we cannot have a truly isolated quantum system in the real world) and information can be lost, the study of DFSs is important for the implementation of quantum computers into the real world.


Background


Origins

The study of DFSs began with a search for structured methods to avoid decoherence in the subject of
quantum information processing Quantum information science is an interdisciplinary field that seeks to understand the analysis, processing, and transmission of information using quantum mechanics principles. It combines the study of Information science with quantum effects in p ...
(QIP). The methods involved attempts to identify particular states which have the potential of being unchanged by certain decohering processes (i.e. certain interactions with the environment). These studies started with observations made by G.M. Palma, K-A Suominen, and A.K. Ekert, who studied the consequences of pure dephasing on two
qubits In quantum computing, a qubit () or quantum bit is a basic unit of quantum information—the quantum version of the classic binary bit physically realized with a two-state device. A qubit is a two-state (or two-level) quantum-mechanical system, ...
that have the same interaction with the environment. They found that two such qubits do not decohere. Originally the term "sub-decoherence" was used by Palma to describe this situation. Noteworthy is also independent work by Martin Plenio, Vlatko Vedral and Peter Knight who constructed an error correcting code with codewords that are invariant under a particular unitary time evolution in spontaneous emission.


Further development

Shortly afterwards, L-M Duan and G-C Guo also studied this phenomenon and reached the same conclusions as Palma, Suominen, and Ekert. However, Duan and Guo applied their own terminology, using "coherence preserving states" to describe states that do not decohere with dephasing. Duan and Guo furthered this idea of combining two qubits to preserve coherence against dephasing, to both collective dephasing and dissipation showing that decoherence is prevented in such a situation. This was shown by assuming knowledge of the system-environment coupling strength. However, such models were limited since they dealt with the decoherence processes of dephasing and dissipation solely. To deal with other types of decoherences, the previous models presented by Palma, Suominen, and Ekert, and Duan and Guo were cast into a more general setting by P. Zanardi and M. Rasetti. They expanded the existing mathematical framework to include more general system-environment interactions, such as collective decoherence-the same decoherence process acting on all the states of a quantum system and general
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s. Their analysis gave the first formal and general circumstances for the existence of decoherence-free (DF) states, which did not rely upon knowing the system-environment coupling strength. Zanardi and Rasetti called these DF states "error avoiding codes". Subsequently, Daniel A. Lidar proposed the title "decoherence-free subspace" for the space in which these DF states exist. Lidar studied the strength of DF states against
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s and discovered that the coherence prevalent in DF states can be upset by evolution of the system Hamiltonian. This observation discerned another prerequisite for the possible use of DF states for quantum computation. A thoroughly general requirement for the existence of DF states was obtained by Lidar, D. Bacon, and K.B. Whaley expressed in terms of the Kraus operator-sum representation (OSR). Later, A. Shabani and Lidar generalized the DFS framework relaxing the requirement that the initial state needs to be a DF-state and modified some known conditions for DFS.


Recent research

A subsequent development was made in generalizing the DFS picture when E. Knill, R. Laflamme, and L. Viola introduced the concept of a "noiseless subsystem". Knill extended to higher-dimensional irreducible representations of the
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generating the dynamical symmetry in the system-environment interaction. Earlier work on DFSs described DF states as singlets, which are one-dimensional irreducible representations. This work proved to be successful, as a result of this analysis was the lowering of the number of qubits required to build a DFS under collective decoherence from four to three. The generalization from subspaces to subsystems formed a foundation for combining most known decoherence prevention and nulling strategies.


Conditions for the existence of decoherence-free subspaces


Hamiltonian formulation

Consider an ''N''-dimensional quantum system ''S'' coupled to a bath ''B'' and described by the combined system-bath Hamiltonian as follows: \hat = \hat_\otimes\hat_ + \hat_\otimes\hat_ + \hat_, where the interaction Hamiltonian \hat_ is given in the usual way as \hat_ = \sum_\hat_\otimes\hat_, and where \hat_\big(\hat_\big) act upon the system(bath) only, and \hat_ \big(\hat_\big) is the system(bath) Hamiltonian, and \hat_\big(\hat_\big) is the identity operator acting on the system (bath). Under these conditions, the dynamical evolution within \tilde_\subset\mathcal_, where \mathcal_ is the system Hilbert space, is completely unitary \forall, \phi\rangle (all possible bath states) if and only if: In other words, if the system begins in \mathcal_ (i.e. the system and bath are initially decoupled) and the system Hamiltonian \hat_ leaves \mathcal_ = \operatorname\left left\_^\right/math> invariant, then \mathcal_ is a DFS if and only if it satisfies (i). These states are
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eigenkets of \hat_\in\mathcal_(\mathcal_) and thus are distinguishable, hence preserving information in certain decohering processes. Any subspace of the system Hilbert space that satisfies the above conditions is a decoherence-free subspace. However, information can still "leak" out of this subspace if condition (iii) is not satisfied. Therefore, even if a DFS exists under the Hamiltonian conditions, there are still non-unitary actions that can act upon these subspaces and take states out of them into another subspace, which may or may not be a DFS, of the system Hilbert space.


Operator-sum representation formulation

Let \mathcal_\subset\mathcal_ be an N-dimensional DFS, where \mathcal_ is the system's (the quantum system alone) Hilbert space. The Kraus operators when written in terms of the basis states that
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\mathcal_ are given as: \mathbf_ = \begin g_\mathbf & \mathbf \\ \mathbf & \mathbf_ \end, \quad g_ = \sqrt\langle k, \mathbf_, j\rangle where \mathbf_ = \exp\left(/\right) (\mathbf_ is the combined system-bath Hamiltonian), \mathbf acts on \mathcal_\subset\mathcal_, and \mathbf_ is an arbitrary matrix that acts on \mathcal_ (the
orthogonal complement In the mathematical fields of linear algebra and functional analysis, the orthogonal complement of a subspace ''W'' of a vector space ''V'' equipped with a bilinear form ''B'' is the set ''W''⊥ of all vectors in ''V'' that are orthogonal to every ...
to \mathcal_). Since \mathbf_ operates on \mathcal_, then it will not create decoherence in \mathcal_; however, it can (possibly) create decohering effects in \mathcal_. Consider the basis kets \left\_^ which span \mathcal_ and, furthermore, they fulfill: \mathbf_, j\rangle = g_\mathbf, j\rangle,\quad \forall. \mathbf is an arbitrary
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and may or may not be time-dependent, but it is independent of the indexing variable l. The g_'s are
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constants. Since \left\_^ spans \mathcal_, then any
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, \psi\rangle\in\mathcal_ can be written as a linear combination of these basis kets: , \psi\rangle = \sum_^b_, j\rangle,\quad b_\in\mathbb. This state will be decoherence-free; this can be seen by considering the action of \mathbf_ on , \psi\rangle: \begin \mathbf_, \psi\rangle &= \sum_^b_(\mathbf_, j\rangle) \\ &= \sum_^b_(g_\mathbf, j\rangle) \\ \mathbf_, \psi\rangle &= g_ \mathbf, \psi\rangle. \end Therefore, in terms of the
density operator In quantum mechanics, a density matrix (or density operator) is a matrix that describes the quantum state of a physical system. It allows for the calculation of the probabilities of the outcomes of any measurement performed upon this system, usin ...
representation of , \psi\rangle, \rho_\text = , \psi\rangle \langle\psi, , the evolution of this state is: \begin \rho_\text &= \sum_ \mathbf_\rho_\text\mathbf^_\\ &= \sum_ g_\mathbf, \psi\rangle\langle\psi, h_\mathbf^ \\ &= \mathbf, \psi\rangle\langle\psi, \mathbf^. \end The above expression says that \rho_\text is a pure state and that its evolution is unitary, since \mathbf is unitary. Therefore, ''any'' state in \mathcal_ will not decohere since its evolution is governed by a unitary operator and so its dynamical evolution will be completely unitary. Thus \mathcal_ is a decoherence-free subspace. The above argument can be generalized to an initial arbitrary mixed state as well.


Semigroup formulation

This formulation makes use of the semigroup approach. The Lindblad decohering term determines when the dynamics of a quantum system will be unitary; in particular, when L_
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= 0, where \rho is the density operator representation of the state of the system, the dynamics will be decoherence-free. Let \left\_^ span \mathcal_\subset\mathcal_, where \mathcal_ is the system's Hilbert space. Under the assumptions that: a necessary and sufficient condition for \mathcal_ to be a DFS is \forall: \mathbf_, j\rangle = \lambda_, j\rangle,\quad\forall\alpha. The above expression states that ''all'' basis states , j\rangle are degenerate eigenstates of the error generators \left\_^. As such, their respective coherence terms do not decohere. Thus states within \mathcal_ will remain mutually distinguishable after a decohering process since their respective
eigenvalues In linear algebra, an eigenvector () or characteristic vector of a linear transformation is a nonzero vector that changes at most by a scalar factor when that linear transformation is applied to it. The corresponding eigenvalue, often denoted b ...
are degenerate and hence identifiable after action under the error generators.


DFSs as a special class of information-preserving structures (IPS) and quantum error-correcting codes (QECCs)


Information-preserving structures (IPS)

DFSs can be thought of as "encoding" information through its set of states. To see this, consider a ''d''-dimensional open quantum system that is prepared in the state \boldsymbol - a non-negative (i.e. its eigenvalues are positive), trace-normalized (\operatorname
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= 1), d\times d density operator that belongs to the system's Hilbert–Schmidt space, the space of
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s on \mathcal (\mathcal). Suppose that this density operator(state) is selected from a set of states S = \left\_^ \in \mathcal_, a DFS of \mathcal_ (the system's Hilbert space) and where n < d. This set of states is called a ''code'', because the states within this set ''encode'' particular kind of information; that is, the set ''S'' encodes information through its states. This information that is contained within S must be able to be accessed; since the information is encoded in the states in S, these states must be distinguishable to some process, \boldsymbol say, that attempts to acquire the information. Therefore, for two states \boldsymbol_,\boldsymbol_ \in S, \; (i\ne j), the process \boldsymbol is ''information preserving'' for these states if the states \boldsymbol_,\boldsymbol_ remain ''as'' distinguishable after the process as they were before it. Stated in a more general manner, a code S (or DFS) is preserved by a process \boldsymbol if and only if each pair of states \boldsymbol_,\boldsymbol_ \in S is as distinguishable after \boldsymbol is applied as they were before it was applied. A more practical description would be: S is preserved by a process \boldsymbol if and only if \forall \boldsymbol\rho,\boldsymbol\rho' \in S and x \in \R^+ \big\, \boldsymbol\big(\boldsymbol\rho - x \boldsymbol\rho'\big)\big\, _ = \big\, \boldsymbol\rho - x\boldsymbol\rho'\big\, _. This just says that \boldsymbol is a 1:1 trace-distance-preserving map on S. In this picture DFSs are sets of states (codes rather) whose ''mutual distinguishability'' is unaffected by a process \boldsymbol.


Quantum error-correcting codes (QECCs)

Since DFSs can encode information through their sets of states, then they are secure against errors (decohering processes). In this way DFSs can be looked at as a special class of QECCs, where information is encoded into states which can be disturbed by an interaction with the environment but retrieved by some reversal process. Consider a code C = \operatorname\left left\\right/math>, which is a subspace of the system Hilbert space, with encoded information given by \left\ (i.e. the "codewords"). This code can be implemented to protect against decoherence and thus prevent loss of information in a small section of the system's Hilbert space. The errors are caused by interaction of the system with the environment (bath) and are represented by the Kraus operators. After the system has interacted with the bath, the information contained within C must be able to be "decoded"; therefore, to retrieve this information a recovery operator \mathbf is introduced. So a QECC is a subspace C along with a set of recovery operators \left\. Let C be a QECC for the error operators represented by the Kraus operators \left\, with recovery operators \left\. Then C is a DFS if and only if upon restriction to C, then \mathbf_\propto\mathbf_^, \forall, where \mathbf_^ is the inverse of the system evolution operator. In this picture of reversal of quantum operations, DFSs are a special instance of the more general QECCs whereupon restriction to a given a code, the recovery operators become proportional to the inverse of the system evolution operator, hence allowing for unitary evolution of the system. Notice that the subtle difference between these two formulations exists in the two words ''preserving'' and ''correcting''; in the former case, error-''prevention'' is the method used whereas in the latter case it is error-''correction''. Thus the two formulations differ in that one is a ''passive'' method and the other is an ''active'' method.


Example of a decoherence-free subspace


Collective dephasing

Consider a two-qubit Hilbert space, spanned by the basis qubits \left\ which undergo collective dephasing. A random phase \phi will be created between these basis qubits; therefore, the qubits will transform in the following way: \begin, 0\rangle_\otimes, 0\rangle_ & \longrightarrow , 0\rangle_\otimes, 0\rangle_ \\ , 0\rangle_\otimes, 1\rangle_ & \longrightarrow e^, 0\rangle_\otimes, 1\rangle_ \\ , 1\rangle_\otimes, 0\rangle_ & \longrightarrow e^, 1\rangle_\otimes, 0\rangle_ \\ , 1\rangle_\otimes, 1\rangle_ & \longrightarrow e^, 1\rangle_\otimes, 1\rangle_. \end Under this transformation the basis states , 0\rangle_\otimes, 1\rangle_, , 1\rangle_\otimes, 0\rangle_ obtain the same phase factor e^. Thus in consideration of this, a state , \psi\rangle can be encoded with this information (i.e. the phase factor) and thus evolve unitarily under this dephasing process, by defining the following encoded qubits: \begin , 0_\rangle &= , 0\rangle_\otimes, 1\rangle_ \\ , 1_\rangle &= , 1\rangle_\otimes, 0\rangle_. \end Since these are basis qubits, then any state can be written as a linear combination of these states; therefore, , \psi_\rangle = l, 0_\rangle + m, 1_\rangle,\quad l,m\in\mathbb. This state will evolve under the dephasing process as: , \psi_\rangle\longrightarrow l, 0\rangle_\otimes e^, 1\rangle_ + e^m, 1\rangle_\otimes, 0\rangle_ = e^, \psi_\rangle. However, the ''overall'' phase for a quantum state is unobservable and, as such, is irrelevant in the description of the state. Therefore, , \psi_\rangle remains invariant under this dephasing process and hence the basis set \big\ is a ''decoherence-free subspace'' of the 4-dimensional Hilbert space. Similarly, the subspaces \big\, \big\ are also DFSs.


Alternative: decoherence-free subsystems

Consider a quantum system with an N-dimensional system Hilbert space \mathcal_ that has a general subsystem decomposition \mathcal_ = \bigoplus_^(\bigotimes_^\mathcal_). The subsystem \mathcal_ is a decoherence-free subsystem with respect to a system-environment coupling if every pure state in \mathcal_ remains unchanged with respect to this subsystem under the OSR evolution. This is true for any possible initial condition of the environment. To understand the difference between a decoherence-free ''subspace'' and a decoherence-free ''subsystem'', consider encoding a single qubit of information into a two-qubit system. This two-qubit system has a 4-dimensional Hilbert space; one method of encoding a single qubit into this space is by encoding information into a subspace that is spanned by two orthogonal qubits of the 4-dimensional Hilbert space. Suppose information is encoded in the orthogonal state \alpha, 0\rangle + \beta, 1\rangle in the following way: \alpha, 0\rangle_ + \beta, 1\rangle_\longrightarrow \alpha, 0\rangle_\otimes, 1\rangle_ + \beta, 1\rangle_\otimes, 0\rangle_. This shows that information has been encoded into a ''subspace'' of the two-qubit Hilbert space. Another way of encoding the same information is to encode ''only'' one of the qubits of the two qubits. Suppose the first qubit is encoded, then the state of the second qubit is completely arbitrary since: \alpha, 0\rangle_ + \beta, 1\rangle_\longrightarrow \bigl(\alpha, 0\rangle_ + \beta, 1\rangle_\bigr)\otimes, \psi\rangle. This mapping is a ''one-to-many'' mapping from the one qubit encoding information to a two-qubit Hilbert space. Instead, if the mapping is to , \psi\rangle, then it is identical to a mapping from a qubit to a subspace of the two-qubit Hilbert space.


See also

* Quantum decoherence *
Quantum measurement In quantum physics, a measurement is the testing or manipulation of a physical system to yield a numerical result. The predictions that quantum physics makes are in general probabilistic. The mathematical tools for making predictions about what ...


References

{{DEFAULTSORT:Decoherence-Free Subspaces Quantum measurement Quantum information science