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. 2012 Jul 13;2:508. doi: 10.1038/srep00508

Not all physical errors can be linear CPTP maps in a correlation space

Tomoyuki Morimae 1,2,3,a, Keisuke Fujii 4,b
PMCID: PMC3396152  PMID: 22798985

Abstract

In the framework of quantum computational tensor network, which is a general framework of measurement-based quantum computation, the resource many-body state is represented in a tensor-network form (or a matrix-product form), and universal quantum computation is performed in a virtual linear space, which is called a correlation space, where tensors live. Since any unitary operation, state preparation, and the projection measurement in the computational basis can be simulated in a correlation space, it is natural to expect that fault-tolerant quantum circuits can also be simulated in a correlation space. However, we point out that not all physical errors on physical qudits appear as linear completely-positive trace-preserving errors in a correlation space. Since the theories of fault-tolerant quantum circuits known so far assume such noises, this means that the simulation of fault-tolerant quantum circuits in a correlation space is not so straightforward for general resource states.


Quantum many-body states, which have long been central research objects in condensed matter physics, statistical physics, and quantum chemistry, are now attracting the renewed interest in quantum information science as fundamental resources for quantum information processing. One of the most celebrated examples is one-way quantum computation1,2,3. Once the highly-entangled many-body state which is called the cluster state is prepared, universal quantum computation is possible with adaptive local measurements on each qubit. Recently, the concept of quantum computational tensor network (QCTN)4,5,6, which is the general framework of measurement-based quantum computation on quantum many-body states, was proposed. This novel framework has enabled us to understand how general measurement-based quantum computation is performed on many other resource states beyond the cluster state. The most innovative feature of QCTN is that the resource state is represented in a tensor-network form (or a matrix-product form)7,8,9, and universal quantum computation is performed in the virtual linear space where tensors live. For example, let us consider the one-dimensional open-boundary chain of N qudits in the matrix-product form

graphic file with name srep00508-m1.jpg

where {|0〉, …, |d − 1〉} is a certain basis in the d-dimensional Hilbert space (2 ≤ d < ∞), |L〉 and |R〉 are D-dimensional complex vectors, and {A[0], …, A[d − 1]} are D × D complex matrices. Let us also define the projection measurement Inline graphic on a single physical qudit by

graphic file with name srep00508-m12.jpg

where

graphic file with name srep00508-m13.jpg
graphic file with name srep00508-m14.jpg

0 < θ < π, and 0 ≤ φ < 2π. If we do the measurement Inline graphic on the first physical qudit of Eq. (1) and if the first physical qudit is projected onto, for example, |αθ,φ〉 as a result of this measurement, the state Eq. (1) becomes

graphic file with name srep00508-m16.jpg

where

graphic file with name srep00508-m17.jpg

Now we can imagine a virtual linear space where A’s, |R〉, and |L〉 live. This virtual linear space is called the correlation space4,5,6,10,11,12. Then, the above equation can be interpreted that the “gate operation” Inline graphic is implemented on the “quantum state” |R〉 in the correlation space. In particular, if A[0], A[1], θ, and φ are appropriately chosen in such a way that A[αθ,φ] is proportional to a unitary, we can “simulate” the unitary evolution Inline graphic of the vector |R〉 in the correlation space. The core of QCTN is this “virtual quantum computation” in the correlation space. If the correlation space has a sufficient structure and if A’s, |L〉, and |R〉 are appropriately chosen, we can “simulate” universal quantum circuit in the correlation space4,5,6,10,11,12.

For the realization of a scalable quantum computer, a theory of fault-tolerant (FT) quantum computation13,14,15,16,17 is necessary. In fact, several researches have been performed on FT quantum computation in the one-way model3,18,19,20,21,22. However, there has been no result about a theory of FT quantum computation on general QCTN. (See the recent progress to this direction23,24,25,26.) In particular, there is severe lack of knowledge about FT quantum computation on resource states with d ≥ 3. It is necessary to consider resource states with d ≥ 3 if we want to enjoy the cooling preparation of a resource state and the energy-gap protection of measurement-based quantum computation with a physically natural Hamiltonian, since no genuinely entangled qubit state can be the unique ground state of a two-body frustration-free Hamiltonian27.

One straightforward way of implementing FT quantum computation on QCTN is to encode physical qudits with a quantum error correcting code:

graphic file with name srep00508-m20.jpg

where Inline graphic (i = 1, …, N) is the encoded version of |ki〉 (such as Inline graphic and Inline graphic, etc.) In fact, this strategy was taken in Refs.21,22 for the one-way model (d = 2), and it was shown there that a FT construction of the encoded cluster state is possible. For d ≥ 3, however, such a strategy is difficult, since theories of quantum error correcting codes and FT preparations of the encoded resource state are less developed for d ≥ 3. Furthermore, if we encode physical qudits with a quantum error correcting code, the parent Hamiltonian should no longer be two-body interacting one.

The other way of implementing FT quantum computation on QCTN is to simulate FT quantum circuits in the correlation space. Since any unitary operation, state preparation, and the projective measurement in the computational basis can be simulated in a correlation space (for a precise discussion about the possibility of the measurement, see Ref.12), it is natural to expect that FT quantum circuits can also be simulated in a correlation space. An advantage of this strategy is that theories of FT quantum circuits for qubit systems are well developed13,14,15,16,17. In fact, this strategy was taken in Refs.18,19 for the one-way model (d = 2). They introduced a method (which we call “the ensemble method” since the ensemble of all measurement results are considered) of simulating quantum circuits in the correlation space of the cluster state, and showed that all physical errors on physical qubits can be linear completely-positive trace-preserving (CPTP) maps in the correlation space of the cluster state. (For details, see Sec. I of the supplementary material.) This means that FT quantum circuits can be simulated in the correlation space of the cluster state.

In this paper, however, we point out that it is not so straightforward to simulate FT quantum circuits in the correlation space of a general resource state. In order to see it, we consider two standard methods of simulating quantum circuits in the correlation space. First, we directly apply the ensemble method of Refs.18,19 to the one-dimensional Affleck-Kennedy-Lieb-Tasaki (AKLT) state28,29, as an example, and see that not all physical errors on physical qutrits can be linear CPTP maps in the correlation space of the AKLT state. Since all theories of FT quantum circuits known so far assume such noises13,14,15,16,17, this means that it is not so straightforward to apply these FT theories to quantum circuits simulated in the correlation space of general resource states. (Note that quantum error correction is not equivalent to fault-tolerant quantum computation: non-CPTP errors can be corrected by quantum error-correcting codes, but that does not necessarily mean the possibility of fault-tolerant quantum computation.) We give some intuitive explanations of reasons why the cluster state is so special and why not all resource states work as the cluster state. Second, we consider another natural method of simulating quantum circuits in the correlation space, which we call “the trajectory method” (since only a specific history of measurement results, i.e., a specific trajectory, is considered). This method is another standard way of simulating quantum circuits in the correlation space when the system is assumed to be error-free4,5,6,10,28. We show a general theorem which says that if d ≥ 3 not all physical errors on physical qudits can be linear CPTP maps in the correlation space if we consider the trajectory method. This means that the trajectory method does neither work in general.

In short, we show in this paper that it is not so straightforward to simulate FT quantum circuits in the correlation space of a general resource state. Since all errors behave nicely in the correlation space of the cluster state18,19, less attention has been paid to the difference between a real physical space and a correlation space of a general resource state. Our results here suggest that these two spaces can be different, and because of the difference, simulations of FT quantum circuits can be difficult in a general correlation space. To our knowledge, there is so far no other methods than those two methods, i.e., the ensemble method and the trajectory method. However, of course there is a possibility that a new method will be developed in a future. Therefore, what we show here is not the impossibility of making QCTN fault-tolerant. Such a new method might be able to make all QCTN fault-tolerant. We hope that our results here will help to tackle such a challenging subject of a future study.

Results

Assumption

Throughout this paper, we make the following assumptions: Since the MPS Inline graphic, Eq. (1), is a resource state for measurement-based quantum computation, we can assume without loss of generality that A[αθ,φ], A[βθ,φ], A[2], A[3], …, A[d − 1] are unitary up to constants:

graphic file with name srep00508-m2.jpg

where cα, cβ, c2, … cd−1 are real positive numbers, Uα, Uβ, U2, …, Ud−1 are unitary operators, and

graphic file with name srep00508-m25.jpg

This means that any operation implemented in the correlation space by the measurement Inline graphic on a single physical qudit of Inline graphic is unitary. Note that this assumption is reasonable, since otherwise Inline graphic does not seem to be useful as a resource for measurement-based quantum computation. In fact, all known resource states so far including the cluster state and the AKLT state, satisfy this assumption by appropriately rotating each local physical basis. Furthermore, we can take cα, cβ, c2, …, cd−1 such that

graphic file with name srep00508-m29.jpg

since

graphic file with name srep00508-m30.jpg

and we can redefine Inline graphic.

Simulation on the AKLT state with the ensemble method

Let us first consider the direct application of the ensemble method of Refs.18,19, which was used for the cluster state, to the AKLT state. As is shown in Refs.18,19, all physical errors can be linear CPTP maps in the correlation space of the cluster state. (This is also the case for the tricluster state30. See Sec. III and IV of the supplementary material.) However, here we show that if we directly apply the ensemble method to the AKLT state, not all physical errors can be linear CPTP maps in the correlation space of the AKLT state.

Roughly speaking, in the ensemble method, we consider the mixture of all measurement results (measurement histories) during the feed-forwarding stage. For the cluster state, it works well, since the desired gate operation can be implemented deterministically because of the feed-forwarding, and if we trace out states which registered each measurement results after the feed-forwarding, the entire state again becomes pure. (For details, see Ref.19 and the Supplementary Material.)

The one-dimensional AKLT state is the matrix-product state defined by d = 3, A[0] = X, A[1] = XZ, and A[2] = Z. Let us assume that a CPTP error Inline graphic, where Inline graphic, occurs on a physical qutrit of the AKLT state. If we simulate quantum circuits in the correlation space of the AKLT state after this error with the ensemble method, the map

graphic file with name srep00508-m34.jpg

is implemented in the correlation space, where Ξj’s are certain operators which depend on {Fj}. (For details, see Sec. II of the supplementary material.) For example, let us consider the error with Inline graphic. Then, we can show that

graphic file with name srep00508-m36.jpg

where δ is a certain positive number. This means that the map Inline graphicAKLT is not linear CPTP.

Intuitive explanations

We have seen that the ensemble method of Refs.18,19 for the cluster state cannot be directly applied to other resource states, such as the one-dimensional AKLT state. Why the cluster state is so special? And why it does not work for other resource states? Although the complete answer to these questions is beyond the scope of the present paper, since the study of QCTN itself has not been fully developed (for example, no one knows the necessary and sufficient condition for tensor-network states to be universal resource states), let us try to give some intuitive explanations here.

Figure 1 illustrates the reason why all physical errors become CPTP maps in the correlation space of the one-dimensional cluster state. Let us first consider the ideal case (a) where there is no error. The actual protocol (a-1) is mathematically equivalent to the “input-output” picture (a-2) where the physical input state |ψ〉 is teleported into the left-edge of the short-length cluster chain (indicated in yellow) and finally the physical output state |ψ′〉 is extracted from the right-edge of the short-length cluster chain (indicated in yellow). Since both |ψ〉 and |ψ′〉 are physical states, what is going on in the correlation space which maps the input state |ψ〉 to the output state |ψ′〉 can be described by a linear CPTP operation. In other words, if we can describe measurement-based quantum computation with this “input-output” picture19, the map implemented in the correlation space is guaranteed to be a linear CPTP operation19.

Figure 1. The “input-output” picture for the one-dimensional cluster state.

Figure 1

For the cluster state, this “input-output” picture also holds even if there is an error19: In the imperfect case, Fig. 1 (b), let us assume that the input state is degraded by an error and becomes a mixed state ρ. We also assume that measurements are imperfect. However, we can still consider a similar “input-output” picture (b-2)19, which corresponds to the actual protocol (b-1), and again the physical state ρ is mapped into another physical state ρ′, which means that what is going on in the correlation space which maps ρ to ρ′ can be described by a linear CPTP operation.

Note that two special properties of the cluster state enable such an “input-output” picture. First, the one-dimensional cluster state can be decomposed into small pieces of one-dimensional cluster states by applying nearest-neighbour two-body unitary operations (i.e., CZ gates). As we can see from Fig. 1 (a-2) and (b-2), this property is necessary for allowing the “input-output” picture. Second, the number of qubits that are measured in order to implement a specific gate does not depend on the measurement results. In other words, for the cluster state, a specific gate can be implemented up to Pauli byproducts at a fixed site irrespective of measurement results. Such a deterministic implementation of a gate at a fixed site is necessary for the deterministic (i.e., trace-preserving) “output” in the “input-output” picture, since in the ensemble method, the ensemble (mixture) of all measurement results are considered: If the site where the desired gate operation is completed depends on the measurement results, we cannot extract the same output state at a fixed site irrespective of measurement results as is shown in Fig. 1 (a-2) and (b-2).

On the other hand, such an “input-output” picture seems to be impossible for the one-dimensional AKLT state, because of the following two reasons: First, as is shown in Fig. 2 left, no nearest-neighbour two-body unitary operation can decompose the one-dimensional AKLT chain into two chains due to the existence of the non-vanishing two-point correlation in the AKLT state. (If the one-dimensional AKLT chain can be decomposed into two chains by such a unitary, it contradicts to the well-known fact that the two-point correlation is non-vanishing in the AKLT state.) Second, we cannot deterministically implement a specific gate at a fixed site of the AKLT chain irrespective of measurement results4,5,28. In short, the “input-output” picture seems to be impossible for the AKLT state. If we can no longer use the “input-output” picture, it is not unreasonable that we have some anomalous maps in the correlation space since the correlation space is not a physical space but an abstract mathematical space.

Figure 2.

Figure 2

Left: The AKLT state cannot be decomposed into two chains by a local unitary. Right: The tensor network of Ref.31.

Simulating quantum circuits with the trajectory method

As we have seen, it is not always possible for general resource states to implement a specific gate at a fixed site irrespective of measurement results. This fact prohibits a general resource state from allowing the “input-output” picture. One might think that if we abandon such a deterministic “output” at a fixed site for all measurement results, and if we just consider a specific history (trajectory) of measurement results, we might be able to avoid the emergence of non-CPTP errors, such as Inline graphicAKLT. (Physically, this means that we project the system onto a pure state at every measurement step:

graphic file with name srep00508-m37.jpg

with the corresponding projector P. Note that considering a specific trajectory of certain measurement results does not mean that if we obtain other trajectories, such events are discarded as done in, for example, linear optical quantum computation. Rather, it means that we describe measurement-based quantum computation with respect to each trajectory instead of the ensemble of all trajectories.) If the system is assumed to be error-free, this “trajectory method” is another standard way of simulating quantum circuits in the correlation space4,5,6,10,28. (Note that in this trajectory method, correct unitary operators can be implemented in the correlation space if there is no error, although what we are physically doing are projections, i.e., non-trace-preserving operations).

However, we here show that such a natural another way of simulating quantum circuits does neither work if d ≥ 3. In other words, we can show the following theorem. (For a proof, see Methods.)

Theorem: If d ≥ 3, there exists a single-qudit CPTP error Inline graphic which has the following property: assume that Inline graphic is applied on a single physical qudit of Eq. (1). If the measurement Inline graphic is performed on that affected qudit, and if the entire system is projected onto a pure state as a result, a non-TP operation is implemented in the correlation space.Inline graphic

Discussion

In order to gain an intuitive understanding of the above theorem, let us finally consider the tensor-network state proposed in Ref.31 as an example. The state is defined by the following tensor network31:

graphic file with name srep00508-m41.jpg
graphic file with name srep00508-m42.jpg
graphic file with name srep00508-m43.jpg
graphic file with name srep00508-m44.jpg
graphic file with name srep00508-m45.jpg
graphic file with name srep00508-m46.jpg
graphic file with name srep00508-m47.jpg
graphic file with name srep00508-m48.jpg

(see Fig. 2 right). A’s are defined in the same way. Each horizontal line works as a single-qubit wire. Two nearestneighbour horizontal chains are decoupled by measuring sites B in the z-basis. Before starting the computation, the filtering operation {F, F′}, where Inline graphic and Inline graphic, is applied on each site A. Let us assume that the filtering is succeeded (i.e., F is realized) and a site B is projected onto Inline graphic. Then, the measurement

graphic file with name srep00508-m52.jpg

implements ZXeiZφ/2, XeiZφ/2, or Z, respectively. (The result Inline graphic does not occur.) Let us assume that the singlequdit error

graphic file with name srep00508-m54.jpg

where E is the error which exchanges Inline graphic and Inline graphic, occurs, and that thus affected particle is measured in Inline graphic. If the measurement result is Inline graphic, we obtain the map

graphic file with name srep00508-m59.jpg

which is not linear CPTP, is implemented in the correlation space.

Methods

Proof: In order to show Theorem, let us assume that

graphic file with name srep00508-m3.jpg

We will see that this assumption leads to the contradiction that d ≤ 2. First, let us consider the state

graphic file with name srep00508-m4.jpg

where Inline graphic is the unitary error which exchanges |a〉 and |b〉, and I is the identity operator on a single qudit. In Eq. (4), the error Inline graphic is applied on the first physical qudit of Inline graphic. If we do the measurement Inline graphic on the first physical qudit of Eq. (4), and if the measurement result is |2〉, Eq. (4) becomes

graphic file with name srep00508-m5.jpg

In other words, the operation Inline graphic is implemented in the correlation space. By the assumption Eq. (3), this operation should work as a TP operation in the correlation space. Therefore,

graphic file with name srep00508-m6.jpg

By taking η ≡ ||A[1]||2,

graphic file with name srep00508-m7.jpg

Second, let us consider the measurement Inline graphic on the first physical qudit of Inline graphic, where Inline graphic is a unitary phase error, and ω ≡ 2π/d. If the measurement result is |αθ,φ〉,

graphic file with name srep00508-m66.jpg

is implemented in the correlation space, where Inline graphic. By the assumption Eq. (3), this should work as a TP operation in the correlation space. Therefore,

graphic file with name srep00508-m68.jpg

By the assumption Eq. (2), A[2]A[2] = ξI, where ξ ≡ ||A[2]||2. Furthermore, as we have shown, A[1]A[1] = ηI (Eq. (7)). Therefore,

graphic file with name srep00508-m8.jpg

where Inline graphic. Finally, let us consider the measurement Inline graphic on the first physical qudit of Inline graphic, where t ∈ {0, 1, …, d – 1}. If the measurement result is |αθ,φ〉,

graphic file with name srep00508-m72.jpg

is implemented in the correlation space, where Inline graphic. By the assumption Eq. (3), this should also work as a TP operation in the correlation space. Therefore,

graphic file with name srep00508-m9.jpg

where Inline graphic. From Eqs. (8) and (9), Inline graphic, where Inline graphic. Let us assume that Inline graphic. Then, Inline graphic, where Inline graphic. If Inline graphic, which means A[1] = 0 since A[2] is unitary up to a constant (assumption Eq. (2)). Therefore, Inline graphic. In this case, Inline graphic for certain Inline graphic, since A[2] is unitary up to a constant. Hence Inline graphic. This means

graphic file with name srep00508-m10.jpg

where rs,t ∈ {0, 1, 2, 3, …}. Let us take t = s = 0. Then, Eq. (10) gives Inline graphic. Let us take s = 1, t = 0. Then, Eq. (10) gives Inline graphic. In order to satisfy these two equations at the same time, there must exist r0,0 and r1,0 such that Inline graphic. If r0,0 = r1,0, then 0 = 1/d which means d = ∞. Therefore r0,0r1,0. Then we have Inline graphic, which is the contradiction. Inline graphic

One might think that if we rewrite the post-measurement state Eq. (5) as

graphic file with name srep00508-m80.jpg

and redefine the operation implemented in the correlation space as Inline graphic, the TP-ness is recovered in the correlation space. However, in this case, the non-lineally appears unless A[1]A[1] ∝ I, and therefore if we require the linearity in the correlation space, we obtain the same contradiction.

In short, if d ≥ 3 not all physical errors on physical qudits appear as linear CPTP errors in the correlation space of pure matrix product states.

Author Contributions

All results are obtained through the discussion between TM and KF. Mainly TM wrote the manuscript. All authors reviewed the manuscript.

Supplementary Material

Supplementary Information

Supplementary material

srep00508-s1.pdf (86.2KB, pdf)

Acknowledgments

TM acknowledges supports by ANR (StatQuant, JC07 07205763) and JSPS. KF acknowledges support by MEXT (Grant-in-Aid for Scientific Research on Innovative Areas 20104003).

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Supplementary Materials

Supplementary Information

Supplementary material

srep00508-s1.pdf (86.2KB, pdf)

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