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Experimental data from a quantum computer verifies the generalized Pauli exclusion principle

Communications Physicsvolume 2, Article number: 11 (2019) | Download Citation

Abstract

“What are the consequences… that Fermi particles cannot get into the same state…” R. P. Feynman wrote of the Pauli exclusion principle, “In fact, almost all the peculiarities of the material world hinge on this wonderful fact.” In 1972 Borland and Dennis showed that there exist powerful constraints beyond the Pauli exclusion principle on the orbital occupations of Fermi particles, providing important restrictions on quantum correlation and entanglement. Here we use computations on quantum computers to experimentally verify the existence of these additional constraints. Quantum many-fermion states are randomly prepared on the quantum computer and tested for constraint violations. Measurements show no violation and confirm the generalized Pauli exclusion principle with an error of one part in one quintillion.

Introduction

While performing calculations with classical computers at IBM, Borland and Dennis discovered something unexpected and surprising about the electronic structure of atoms and molecules1. In 1926 Pauli had observed that no more than a single electron can occupy a given one-electron quantum state known as a spin orbital2. Formally, the Pauli exclusion principle implies that the spin-orbital occupations are rigorously bounded by zero and one. In their calculations Borland and Dennis discovered, however, that even in three-electron atoms and molecules there are additional constraints beyond the well-known exclusion principle. In 2006 Klyachko (and in 2008 with Altunbulak) presented a systematic mathematical procedure for generating these constraints for potentially arbitrary numbers of electrons and orbitals3,4. These inequalities, which have become known as generalized Pauli constraints5,6,7,8, provide new insights into the electronic structure of many-electron atoms and molecules7,9,10,11,12, the limitations of entanglement as a resource for quantum control13,14, as well as the fundamental distinctions between open and closed quantum systems15.

In this work we use quantum states prepared on a quantum computer to provide experimental verification of the generalized Pauli constraints. Quantum computers differ from classical computers in that quantum states can be prepared on the quantum computer. Algorithms which utilize these quantum states promise a large computational advantage over known classical algorithms for solving critically important problems such as integer factorization, eigenvalues estimation, and fermionic simulation16,17,18,19. Rapid advances in quantum hardware and hybrid classical-quantum algorithms have led to multi-qubit experimental implementations20,21,22. We first randomly prepare the quantum state of a 3-electron system and second measure the occupations of the natural orbitals. The natural orbitals are the eigenfunctions of the 1-electron reduced density matrix (1-RDM) that is defined by integrating the many-electron density matrix over the coordinates of all electrons except one

$${}^1D(1;\bar 1) = {\int} \Psi (123)\Psi ^ \ast (\bar 123)d2d3$$
(1)

in which Ψ(123) is the 3-electron wave function. The two-step process is repeated many times on the quantum computer to explore all possible physically realizable orbital occupations. Because of the generalized Pauli constraints a large convex set of orbital occupations should be experimentally forbidden. In contrast to the classical computations of Borland and Dennis, we are not representing the quantum states by matrices but rather preparing quantum states directly, which allows us to measure the orbital occupations experimentally.

Results

Measurement of 1-RDM eigenvalues

Pauli observed in 1926 that for quantum systems of fermion particles such as electrons the occupation ni of each spin orbital must obey the following inequalities:

$$0 \le n_i \le 1,$$
(2)

known as the Pauli exclusion principle or Pauli constraints. In 1963 Coleman proved mathematically that these constraints plus a normalization constraint in which the occupation numbers sum to N are necessary and sufficient for the occupation numbers ni to represent at least one ensemble state of N electrons23. Borland and Dennis in 1972, however, discovered that there exist additional conditions on the occupation numbers for the representation of at least one pure state of N electrons, which are presently known as the generalized Pauli constraints1. A pure state is a quantum state that is describable by a single wave function. Borland and Dennis found the following generalized Pauli constraints for three electrons in six orbitals:

$$n_5 + n_6 - n_4 \ge 0$$
(3)

where

$$n_1 + n_6 = 1$$
(4)
$$n_2 + n_5 = 1$$
(5)
$$n_3 + n_4 = 1,$$
(6)

where ni are the natural-orbital occupations ordered from largest to smallest.

To test the generalized Pauli constraints on a quantum computer, we prepare an initial pure state |Ψ0(123)〉 of 3 fermions in 6 orbitals and perform arbitrary unitary transformations \(\hat U_i\) of the initial state to generate a set of random pure states |Ψi(123)〉 of 3 fermions in 6 orbitals

$$|\Psi _i(123)\rangle = \hat U_i|\Psi _0(123)\rangle .$$
(7)

We measure the matrix elements of the 1-RDM of each state |Ψi(123)〉 generated on the quantum computer and check each 1-RDM to verify satisfaction of the generalized Pauli constraints for 3 fermions in 6 orbitals. The 1-RDM is diagonalized on a classical computer and the eigenvalues (natural occupation numbers) are inserted into the generalized Pauli constraints to check for satisfaction. The eigenvalues of the 1-RDM, ordered from highest to lowest, form a special type of convex set with “flat” sides known as a polytope. The boundaries or “flat” sides of the polytope are determined by the Pauli and generalized Pauli constraints. Suppose the experimental data satisfies the Pauli constraints but not the generalized Pauli constraints, then the smallest 3 eigenvalues of each measured 1-RDM will describe the Pauli polytope which is shown as the combined yellow and blue regions in Fig. 1. On the other hand, suppose the experimental data obeys not only the Pauli constraints but also the generalized Pauli constraints, then the smallest 3 eigenvalues of each measured 1-RDM will only describe the smaller generalized Pauli polytope, pictured as just the yellow region in Fig. 1. Comparison of the measured scatter plot of 1-RDM eigenvalues with these two polytopes provides an experimental means of observing the generalized Pauli constraints and thereby verifying their validity in a quantum system.

Fig. 1
Fig. 1

Orbital occupations of the 1-electron reduced density matrix (1-RDM) form convex polytopes. The eigenvalues (natural occupations) of the 1-RDM, ordered from largest to smallest, form a special convex set with “flat” sides known as a polytope. Because the three smallest eigenvalues for a 3-electrons-in-6-orbitals state (n4, n5, n6) determine the other eigenvalues, we can visualize the polytope in three dimensions. The figure shows two polytopes: (i) the Pauli polytope of eigenvalues obeying the ordinary Pauli constraints (the combination of the yellow and blue regions), as well as (ii) the generalized Pauli polytope of eigenvalues obeying the generalized Pauli constraints (the yellow region only). The plane separating the yellow and blue regions arises from the Borland-Dennis inequality shown in Eq. (3)

The system of 3 fermions in 6 orbitals can be expressed as a system of 3 qubits, allowing the above procedure to be simplified. Because the occupations of each pair, {n1, n6}, {n2, n5}, and {n3, n4}, must sum to one, the three electron system has a one-to-one mapping to a system of three qubits. The occupation numbers n4, n5, and n6, which are eigenvalues of the 1-RDM, can be viewed as the eigenvalues p1, p2, and p3 of the 1-qubit reduced density matrix of a 3-qubit system. Hence, for the 3-qubit system the generalized Pauli constraints in Eqs. (3)–(6) can be written as the single inequality

$$p_2 + p_3 - p_1 \ge 0,$$
(8)

which was first obtained by Higuchi in 200224. The Higuchi inequalities for N qubits are a subset of the generalized Pauli constraints for N electrons in 2N orbitals. In the case of three electrons in six orbitals the Higuchi inequality is equivalent to the generalized Pauli constraint in Eq. (3) under the assumption that Eqs. (46) hold. In the quantum computation we exploit this relationship to represent the 3 electron in 6 orbital quantum system efficiently as a 3 qubit system with a compact fermionic mapping, described in the Methods section. In this representation the violation of the Higuchi inequality in Eq. (8) is equivalent to the violation of the generalized Pauli inequality in Eq. (3).

The initial 3-qubit state is chosen to be the non-interacting state in which all 3 qubits are in their lower-energy (off) state. The arbitrary unitary transformations are generated on the quantum computer from

$$|\Psi _i(123)\rangle = C_1^3R_y(\gamma )C_3^1R_y(\beta )C_1^2R_y(\alpha )|\Psi _0(123)\rangle ,$$
(9)

where the parameters α, β, and γ in the Pauli rotation matrices Ry(α) are chosen randomly and the \(C_i^j\) are controlled NOT (CNOT) gates. The rotation matrices are applied to the control qubit of the ensuing CNOT gate. It is known that any 3-qubit state can be prepared from the non-interacting state by a unitary transformation built from only 3 CNOT gates plus universal single-qubit gates25. The above transformation generates states that span the most general entanglement class for the system and whose 1-qubit RDMs cover all possible real 1-qubit occupation numbers14,26,27. Computations were also performed with a slightly more general transformation, discussed in the Methods and Supplementary Fig. 1, albeit without a significant change in the results. Because of the mapping between the 3-qubit and the 3-fermion-in-6-orbitals system, the measured occupations p1, p2, and p3 are equivalent to the natural occupations (eigenvalues) n4, n5, and n6 of the 1-RDM. For the remainder of this work we primarily discuss the results in terms of the 3-fermion system.

Verification of generalized Pauli constraints

The scatter plot of the measured 1-RDM natural occupations is shown in Fig. 2 relative to the Pauli polytope, the combination of the yellow and blue regions, and the smaller generalized Pauli polytope, only the yellow region. Results show that the physical system only accesses the generalized Pauli polytope (yellow), defined by the generalized Pauli constraints. None of the natural occupation numbers lie in the part (blue) of the Pauli polytope which is forbidden by the Borland-Dennis constraint. Therefore, the experimental data from the quantum computer verifies the generalization of the Pauli exclusion principle for pure states. Supplementary Fig. 2 visualizes the effect of error on the occupation numbers. We observe that the errors consistently push the triplet of occupations into the generalized Pauli polytope, which reflects upon the nature of the quantum noise. Despite the presence of quantum noise the fundamental result is statistically robust14. The Pauli polytope is twice the size of the generalized Pauli polytope. Consequently, without further restrictions beyond the ordinary Pauli constraints the probability of a randomly prepared state being in the yellow region would be one out of two. The probability of n random states being on the yellow side, therefore, would be 1/2n. With n being approximately 60, we observe that the probability of measuring all 60 points within the yellow region would be 1/260 or a highly improbable one in one quintillion. Hence, we have verified the generalized Pauli exclusion principle by quantum computer to a high degree of confidence.

Fig. 2
Fig. 2

Measured orbital occupations verify generalized Pauli principle. The scatter plot of the three lowest measured 1-electron reduced density matrix (1-RDM) eigenvalues (n4, n5, n6) is shown relative to the Pauli polytope, the combination of the yellow and blue regions, and the smaller generalized Pauli polytope, only the yellow region. Results show that none of the eigenvalues lie in the part (blue) of the Pauli polytope which is forbidden for pure quantum states by the Borland-Dennis constraint

Despite the restrictions on the pure-state observables from the generalized Pauli constraints, the set of realizable 1-RDMs exhibits all limits of quantum behavior including the mean-field limit, as well as the strong-electron-correlation limit including phenomena like superconductivity. Figure 3 shows examples of chemical systems which widely vary in the degree of correlation present. As observed in previous work, for 3-electron-in-6-orbital systems the ground-state triplet of occupation numbers (n4, n5, n6) lies on the Borland-Dennis generalized Pauli constraint, separating pure and ensemble states in the set of 1-RDMs. Excited-state natural occupation numbers of these systems, in contrast, can lie on the generalized Pauli constraint like the ground states or elsewhere in the polytope, reflecting substantial variations in the one-electron properties of excited states7. The 3 lowest occupation numbers (n4, n5, n6) can be readily expressed in the natural-orbital basis set in terms of single, double, and triple excitations from the single determinant |ϕ1ϕ2ϕ3〉, composed of the 3 most occupied natural orbitals; for nu where u indicates the index of one of the unoccupied orbitals of the reference determinant we have

$$n_u = \mathop {\sum}\limits_i |c_i^u|^2 + \mathop {\sum}\limits_{ija} |c_{ij}^{au}|^2 + \mathop {\sum}\limits_{ijkab} |c_{ijk}^{abu}|^2$$
(10)

in which i, j, and k denote indices of natural orbitals in the reference determinant and a and b denote indices of natural orbitals not in the reference determinant and \(c_i^u\), \(c_{ij}^{au}\), \(c_{ijk}^{abu}\) are the single-excitation, double-excitation, and triple-excitation coefficients. From the formula we observe that when (n4, n5, n6) equals (0, 0, 0), all of the excitation coefficients vanish, and the quantum state is the reference determinant 1ϕ2ϕ3〉. All other points in the polytope have contributions from one or more of the excitation coefficients. The triple excitations vanish when the natural occupation numbers (n4, n5, n6) are pinned to the Borland–Dennis inequality3,4,11. The triplet of occupation numbers from ground and excited states tends to gravitate towards the boundaries of the polytope, reflecting the interplay between the energy optimization and the restrictions imposed on fermions from the Pauli constraints.

Fig. 3
Fig. 3

Orbital occupations of correlated 3-electron atoms and molecules. The lowest three eigenvalues (natural occupations) of the 1-electron reduced density matrix (1-RDM) for ground and excited states of 3-electron-in-6-orbital atoms and molecules (n4, n5, n6) are shown: a Lithium atom (red) and the π orbitals of the Boron atom (blue). b Allyl radical in the cyclic form (C3H3, red) and linear H3 (blue). The triplet of occupation numbers from ground and excited states tends to gravitate towards the boundaries of the polytope, reflecting the interplay between the energy optimization and the restrictions imposed on fermions from the Pauli constraints. These eigenvalues were calculated by full configuration interaction on a classical computer

Discussion

The generalized Pauli constraints, discovered by Borland and Dennis on a classical computer, have been verified through calculations with a quantum computer. While a quantum state is represented by vectors and matrices on a classical computer, it is actually prepared and manipulated on a quantum computer. Consequently, the presented computations can be interpreted as experiments that are measuring the generalized Pauli constraints’ satisfaction by the correlated quantum states generated on the computer. Using random unitary transformations to generate a statistical sample of the possible states, we observe that all of the states satisfy the generalized Pauli constraint, experimentally verifying the validity of the constraint to a high degree of confidence. The generalized Pauli constraints have profound consequences for quantum phenomena. First, their existence proves fundamental limitations on quantum entanglement’s ability to emulate one-electron occupations and properties of ensemble quantum states. Second, they imply the Higuchi inequalities and thereby place significant restrictions on many-qubit systems in pure states. These restrictions may provide an exploitable resource for efficient error correction. Finally, their recent extension to the two-electron reduced density matrix (2-RDM) provides new conditions for the 2-RDM to represent at least one many-electron pure-state quantum system10. Such conditions can potentially be used to enhance the direct variational calculation of the 2-RDM28, which is applicable to treating strongly correlated atomic and molecular quantum systems at a polynomial-scaling computational cost29,30,31.

Methods

We include details on the quantum algorithm used in the article and its variants, the method for generating the parameters, the quantum tomography of the one-electron reduced density matrix, and relevant details on the experimental quantum device used.

Quantum algorithms

Two algorithms were used in this work. Both utilize 3 CNOT gates, which allow for the whole set of 3-qubit occupation numbers to be spanned with suitable single qubit rotations. A single CNOT can form a biseparable system, while two CNOT gates can reach the GHZ state and span a fair range of the polytope, but three CNOT gates are required to saturate the Higuchi inequality24,25,26,27. Complex unitary transformations can be used, increasing the set of all possible quantum states, but these transformations span the same set of occupations as real rotations.

The first algorithm takes a minimalistic approach, and spans the polytope by parameterizing only three rotations. The algorithm (applied right to left) is as follows:

$${\Bbb U}_a^1 = C_3^2R_{y,3}(\theta _3)C_1^2R_{y,1}(\theta _2)C_1^3R_{y,1}(\theta _1),$$
(11)

where Ry,i refers to a qubit rotation around the y-axis of the Bloch sphere on the ith qubit (later we drop the y, as we only use Ry rotations), defined as:

$$R_{y,i}(\theta ) = \left( {\begin{array}{*{20}{c}} {{\mathrm{cos}}\left( {\frac{\theta }{2}} \right)} & { - {\mathrm{sin}}\left( {\frac{\theta }{2}} \right)} \\ {{\mathrm{sin}}\left( {\frac{\theta }{2}} \right)} & {{\mathrm{cos}}\left( {\frac{\theta }{2}} \right)} \end{array}} \right).$$
(12)

\(C_i^j\) is the standard CNOT gate with i control and j target qubits. The control qubit is rotated prior to a CNOT transformation. The sequence of transformations produces a wave function of the form:

$$|\Psi _f\rangle = \alpha |000\rangle + \beta |011\rangle + \gamma |101\rangle + \delta |110\rangle ,$$
(13)

where α, β, γ, and δ are all functions of θ1, θ2, and θ3, and the wave function has only diagonal elements in the 1-RDM.

The second algorithm provides an over-redundant representation of the system, including some local degrees of freedom27 and involves rotations on both the target and control qubit prior to the rotation

$${\Bbb U}_a^2 = C_3^1R_3(\theta _6)R_1(\theta _5)C_2^3R_2(\theta _4)R_3(\theta _3)C_2^1R_2(\theta _2)R_1(\theta _1),$$
(14)

Note that the CNOT identity

$$C_1^2 = H_1H_2C_2^1H_1H_2$$
(15)

where H1 is the Hadamard gate acting on qubit 1 implies that by performing single-qubit rotations on both qubits of the CNOT gate, we potentially eliminate the dependence of the qubit orderings. Of course the wave function is of a more general form, involving all 8 qubit states, and so the off-diagonal elements of the 1-RDM need to be determined.

Generating parameters

The points in the polytope from each run were obtained by classically simulating the circuit over a range of angle parameters (from 0° to 45° in 0.1° intervals), calculating the theoretical eigenvalues after applying a given algorithm, and then either: (1) adding the point to the set if the point is further from all other points by a threshold distance, or; (2) discarding the point. Thus for the first algorithm we sampled 90 million points, and for the second, 8 quadrillion. The threshold distance for inclusion was 0.075. Only 62 and 59 points were selected for the first and second, respectively. More points could have been used, but this would not have provided additional clarity, due to the scale of the shifts from errors. In general, unbiased random sampling did not yield ‘graphically’ uniform sets, as there is a tendency to cluster in certain areas of the polytope, and would lead to lots of runs being only in a particular region. Thus, the above method was used.

Quantum tomography of the 1-RDM

The quantum tomography of the 3-electrons-in-6-orbitals system is simplified by its mapping to a system of 3 qubits. We derive the unitary transformations required to perform quantum tomography of the 1-RDM for a completely general many-electron state and outline the simplified application of this tomography for the 3-electrons-in-6-orbitals system.

Consider the unitary transformation in terms of the rotation angle ϕ

$$U = e^{\phi \hat \alpha }$$
(16)

where

$$\hat \alpha = (\hat a_i^\dagger \hat a_j - \hat a_j^\dagger \hat a_i)$$
(17)

in which \(\hat a_i^\dagger\) and \(\hat a_i\) are second-quantized operators that create and annihilate an electron in orbital i. We can express this unitary transformation U in the following closed form:

$$e^{\phi \hat \alpha } = \hat \beta \,{\mathrm{cos}}\,\phi + \hat \alpha \,{\mathrm{sin}}\,\phi + (1 - \hat \beta ),$$
(18)

where

$$\hat \beta = \hat a_i^\dagger \hat a_i + \hat a_j^\dagger \hat a_j + \hat a_i^\dagger \hat a_j^\dagger \hat a_i\hat a_j + \hat a_j^\dagger \hat a_i^\dagger \hat a_j\hat a_i.$$
(19)

Using the Baker-Campbell-Hausdorff expansion, we evaluate the unitary transformation of the projection operator \(\hat M\) for measuring the occupation of the ith orbital

$$e^{ - \phi \hat \alpha }\hat Me^{\phi \hat \alpha } = i^\dagger i + \frac{{\hat \zeta }}{2}{\mathrm{sin}}\,2\phi - \hat \eta {\mathrm{sin}}^2\phi$$
(20)

where

$$\hat M = \hat a_i^\dagger \hat a_i$$
(21)

and

$$\hat \zeta = \hat a_i^\dagger \hat a_j + \hat a_j^\dagger \hat a_i$$
(22)
$$\hat \eta = \hat a_i^\dagger \hat a_i - \hat a_j^\dagger \hat a_j.$$
(23)

If we set the angle ϕ to π/4 and take the expectation value with respect to the quantum state |Ψ〉, we obtain

$$\left\langle {\Psi \left| {e^{ - \frac{\pi }{4}\hat \alpha }\hat Me^{\frac{\pi }{4}\hat \alpha }} \right|\Psi } \right\rangle = \frac{1}{2}\left( {\,{}^1D_i^i + {}^1D_j^j + {}^1D_j^i + {}^1D_i^j} \right)$$
(24)

in which \(\,{}^1D_j^i\) denotes an element of the 1-RDM. Therefore, by taking expectation values for the diagonal elements of the family of 1-RDMs from these unitary transformations, we obtain information about all of the elements of the 1-RDM from which we can obtain its off-diagonal elements. While these transformations are sufficient to determine the real part of the 1-RDM, in the case that the 1-RDM has a non-vanishing imaginary component, we must also consider the unitary transformations where \(\hat \alpha\) is defined as

$$\hat \alpha = i(\hat a_i^\dagger \hat a_j + \hat a_j^\dagger \hat a_i).$$
(25)

By an analogous procedure we obtain

$$\left\langle {\Psi \left| {e^{ - \frac{\pi }{4}\hat \alpha }\hat Me^{\frac{\pi }{4}\hat \alpha }} \right|\Psi } \right\rangle = \frac{1}{2}\left( {\,{}^1D_i^i + \,{}^1D_j^j + i\left( {\,{}^1D_j^i - \,{}^1D_i^j} \right)} \right).$$
(26)

from which we can extract the imaginary off-diagonal elements of the 1-RDM.

Because of Eqs. (46) of the Borland-Dennis constraints the 6 natural orbitals of the 3-electrons-in-6-orbitals system can be paired to form 3 qubits where each qubit is a two-level system sharing an electron. We can restrict the one-body unitary transformation in Eq. (16) to indices i and j representing orbitals of the same qubit because other choices violate the restriction of one electron per qubit. Hence, the one-body fermionic unitary transformation can be represented as a unitary transformation of a single qubit

$$U = \left( {\begin{array}{*{20}{c}} {{\mathrm{cos}}\,\phi } & { - {\mathrm{\Gamma }}\,{\mathrm{sin}}\,\phi } \\ {{\mathrm{\Gamma }}\,{\mathrm{sin}}\,\phi } & {{\mathrm{cos}}\,\phi ,} \end{array}} \right)$$
(27)

where Γ is a global phase from the antisymmetry of electrons. This mapping to qubits can be viewed as a member of the family of compact mappings32. Practically, this transformation is implemented in this study for ϕ = π/4 as a product of the Hadamard gate H and a Pauli-Z gate Z. If Γ = 1 and ϕ = π/4, then U = HZ, and if Γ = 1 and ϕ = π/4, then U = ZH.

Quantum computation

In this work we used the IBM Quantum Experience devices (ibmqx4 and ibmqx2), available online, in particular the 5-transmon quantum computing device33. These cloud accessible quantum devices are fixed-frequency transmon qubits with co-planer waveguide resonators33,34. Experimental calibration for these devices is included below, and connectivity is specified there. Additionally, results are included in Supplementary Tables 18.

For our work, we tested varying number of measurements, and found that no significant decrease in the error of a run occurred by using more than 2048 measurements, and so the primary and secondary experiments spanning the polytope utilized 2048 measurements of the quantum algorithm. Additionally, for showing how error shifts the occupation of a pure state, we utilized 1024 measurements, as in Supplementary Fig. 2.

To show this, let the target variable be the distance of the measured occupation to the ideal point. Let the mean of a run with 8192 measurements be the population mean, then define a random variable χ representing the distance from the ideal point after 32 measurements (22 times the number of possible qubit states). For a point lying within the GPC polytope, generated with equation 11, where θ1 = 43.0°, θ2 = 3.0°, and θ3 = 39.0°, we find μχ = 0.059 and σχ = 0.056. For 2048 and 1024 iterations, this yields a standard error of 0.007, and 0.010, respectively, and the 95% confidence interval is then ±0.014, and ±0.020, respectively. For other points similar values were seen, typically with higher average μχ. Considering the scale of our problem, where shifts from the ideal occupation are closer to 0.1, and direction plays a significant role, one would not expect a significant difference in results upon increased iterations. The three qubits with the lowest two-qubit gate error and the correct ordering of the qubit algorithm was used for the device connectivity.

Quantum computer calibration

Calibration data from the primary and secondary algorithms as provided by IBM’s quantum computer is presented in Table 135.

Table 1 Calibration data

Electronic structure calculations

Molecular geometries for C3H3 were taken from the Computational Chemistry Comparison and Benchmark Database36, and for H3 were calculated with Gaussian 09 with the coupled cluster singles and doubles method (CCSD)37. The basis set used Slater-type orbitals with three Gaussians (STO-3G). Electron integrals were obtained from General Atomic and Molecular Electronic Structure System (GAMESS)38. Maple39 was used to perform a full configuration interaction (FCI) calculation with a QR method40 for ground and excited states including their 1-RDMs.

Data availability

The data that support the finding of this study are presented in Supplementary Tables 18. Any additional data are available from the corresponding author upon reasonable request.

Additional information

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Acknowledgements

D.A.M. gratefully acknowledges the Department of Energy Grant DE-SC0019215, the U.S. National Science Foundation Grant CHE-1565638, and the U.S. Army Research Office (ARO) Grant W911NF-16-1-0152.

Author information

Affiliations

  1. Department of Chemistry and The James Franck Institute, The University of Chicago, Chicago, IL, 60637, USA

    • Scott E. Smart
    •  & David A. Mazziotti
  2. Department of Physics and The James Franck Institute, The University of Chicago, Chicago, IL, 60637, USA

    • David I. Schuster

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Contributions

D.A.M. conceived of the research project. S.E.S. and D.A.M. developed the theory. D.I.S. provided guidance on performing the computations on a quantum computer. S.E.S. performed the calculations. S.E.S., D.I.S., and D.A.M. discussed the data and wrote the manuscript.

Competing interests

The authors declare no competing interests.

Corresponding author

Correspondence to David A. Mazziotti.

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DOI

https://doi.org/10.1038/s42005-019-0110-3

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