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The Complexity of Stoquastic Local Hamiltonian Problems

Quantum Physics · Submitted 16 Jun 2006 · 31 references

Pith's verdict: The AM containment is solid and is the result that matters; the 2-local MA-hardness claim leans on a perturbative gadget whose error control is order-counting rather than a proved remainder bound.

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arXiv IDquant-ph/0606140 (version 4)
Pith IDEFNMD5EB, Pith's permanent record of this paper and its review
CitationBarbara M. Terhal, David P. DiVincenzo, Roberto I. Oliveira, Sergey Bravyi. "The Complexity of Stoquastic Local Hamiltonian Problems." arXiv:quant-ph/0606140 (2006). https://pith.science/paper/EFNMD5EB
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The paper

The paper claims

Stoquastic local Hamiltonians — those whose off-diagonal entries are real and non-positive — have a ground-energy problem that lies in AM, is MA-hard at 2-local, and falls into PostBPP when the spectral gap is polynomially large.

The reading

Generic local-Hamiltonian ground-energy problems are QMA-complete, so even a quantum computer is not expected to solve them. This paper isolates a physically common subclass — Hamiltonians whose off-diagonal matrix elements in the standard basis are real and non-positive, which the authors call stoquastic — and asks how much of that hardness survives the restriction. The answer they argue for is: a lot less. Deciding whether a stoquastic Hamiltonian has ground energy at most zero is shown to lie in AM, meaning a classical verifier with a random question and one round of prover advice can be convinced; the same problem at 2-local is shown hard for MA, so it is not below the classical-probabilistic world either. Adding a promise that the spectral gap is at least $1/2$ of a fixed polynomial in the number of qubits, they place the problem in PostBPP, a class where a classical probabilistic machine is allowed to post-select on a success flag, which also bounds what adiabatic quantum computation with stoquastic Hamiltonians can decide. The interest is that a natural, NP-hard family of quantum many-body problems is being pinned strictly below the general QMA-complete case, and that the pinning is done by turning a partition function into a counting problem.

What carries the argument

Three devices carry the argument. First, the trace-power-to-cardinality reduction: $Tr(G^L)$ for a non-negative black-box matrix is rewritten as $2^{-mL}|Omega|$ for a set $Omega$ whose membership test is a product of $L$ matrix elements, converting an eigenvalue question into the Approximate Set Size problem that AM can handle. Second, the clock Hamiltonian built from a circuit of Toffoli gates acting on $|+rangle$ coin qubits and a quantum witness; because every gate is classical and reversible and every coin enters in a non-negative superposition, all off-diagonal entries of the resulting Hamiltonian are non-positive, which is what makes the MA-hardness construction land inside the stoquastic class. Third, the perturbation gadgets: a subdivision gadget reducing $k$-local to $3$-local interactions, a new three-qubit gadget whose mediator Hamiltonian $-tfrac{1}{2}Delta_x (X_1X_2X_3 - I) - tfrac{1}{4}Delta_z (Z_1Z_2 + Z_2Z_3 + Z_1Z_3 - 3I)$ forbids direct transitions between its ground state $|Psi^+rangle$ and first excited state $|Psi^-rangle$ so that the leading correction is the desired triple-$X$ term, and the original Kempe-Kitaev-Regev three-qubit gadget for the final step to 2-local. The post-selection argument is the fourth device: extending $G$ to a doubly-stochastic $F$ on one extra qubit lets a random walk leak out of under-normalized rows, and conditioning on the leak never happening yields independent samples from a distribution close to the ground state.

Extended reading notes

Core claim

The central claim is that the Local Hamiltonian Problem restricted to stoquastic Hamiltonians belongs to AM. The route is a reduction to approximate counting. Given a stoquastic $H$, form the non-negative matrix $G = I - H/C$ with $C$ a polynomial bound on $||H||$, whose largest eigenvalue is $1 - O(1/C)$ times the ground energy, and consider $Z = Tr(G^L)$ for $L = 2n p_1(n)$. For positive instances $Z$ is at least $(1-O(1/C))^L$ times the negative-instance value, a separation of order $2^n$. Writing $G$ as an average of $0,1$-matrices $G(t)$ over a short random string $t$ turns $Z$ into a sum of an efficiently computable Boolean function $F$ over strings of length $(m+n)L$, so $Z$ is proportional to the cardinality of an explicitly verifiable set $Omega$. Merlin then proves a lower bound on $|Omega|$ using the Goldwasser-Sipser two-round approximate counting protocol with Carter-Wegman universal hashing, which is exactly what AM allows. Two further results bracket the problem from below and from the side: 6-local (hence, after gadget reductions, 2-local) stoquastic LH-MIN is MA-hard, proved by compiling an MA verifier into a circuit of classical reversible gates fed with $|+rangle$ coins and applying Kitaev's clock construction, whose Hamiltonian stays stoquastic; and if the Hamiltonian has a polynomial spectral gap, a post-selected classical random walk on a doubly-stochastic extension of $G$ samples from the ground-state distribution well enough to estimate the top eigenvalue, placing the problem in PostBPP.

Load-bearing premise

The reduction from $k$-local to 2-local stoquastic Hamiltonians rests on a perturbative gadget whose error is estimated by counting powers of small parameters rather than by a theorem with explicit constants: the self-energy is computed to third order, the fourth-order term is bounded only by order of magnitude, and a footnote absorbs all factors of the interaction norms and the number of terms into an order-one constant on the grounds that the energy penalty can be chosen polynomially large.

Editorial extensions

If this is right

  • Unless QMA is contained in AM, no stoquastic local Hamiltonian problem is QMA-complete, so the folklore mapping of $d$-dimensional quantum ground states onto $(d+1)$-dimensional classical statistical models cannot hold in the generality it is usually stated.
  • Because 2-local stoquastic LH-MIN is MA-hard and also in AM, the complexity of the problem does not change with the locality $k$ for constant $k$, which is evidence that it is complete for some class strictly between MA and AM.
  • Any decision problem solved by an adiabatic quantum algorithm whose path uses only stoquastic Hamiltonians with polynomial gap lies in PostBPP, and hence in $Sigma_3^p$.
  • Combined with Barahona's NP-hardness of Ising spin-glass ground states, the results bracket stoquastic LH-MIN between NP-hard and AM.
  • The AM argument applies to any non-negative black-box matrix with efficiently computable entries, not only to local Hamiltonians, so it covers stoquastic systems lacking locality or sparsity structure.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The authors remark that a sequel strengthens the upper bound to SBP; if that holds, the natural next target is a completeness theorem placing stoquastic LH-MIN exactly at some class between MA and AM, which would make the locality-independence result a statement about a genuine complexity class rather than an interval.
  • The PostBPP simulation cost is set by the gap, not the system size: the number of post-selected walks scales like $n^{2c}$ for target precision $n^{-c}$ and the walk length like $5n,r(n)^2$ where $r$ encodes the gap, so a shrinking gap is the real resource, which suggests testing the algorithm's practical behaviour on gapped versus nearly gapless instances of the same size.
  • The AM proof needs only entry-wise non-negativity of $G$, so the operative boundary is non-negativity of the Gibbs matrix rather than any spin-model structure; this predicts that a system made stoquastic by a local basis change remains in AM even when the change destroys geometric locality, which is a claim worth checking against specific frustrated models.
  • The MA-hardness construction uses only classical reversible gates plus $|+rangle$ coins, and the authors note that a final measurement in the $x$-basis might still leave the Hamiltonian stoquastic; if so, the gap between the MA lower bound and the AM upper bound could narrow without any new counting machinery.
Original abstract

We study the complexity of the Local Hamiltonian Problem (denoted as LH-MIN) in the special case when a Hamiltonian obeys conditions of the Perron-Frobenius theorem: all off-diagonal matrix elements in the standard basis are real and non-positive. We will call such Hamiltonians, which are common in the natural world, stoquastic. An equivalent characterization of stoquastic Hamiltonians is that they have an entry-wise non-negative Gibbs density matrix for any temperature. We prove that LH-MIN for stoquastic Hamiltonians belongs to the complexity class AM -- a probabilistic version of NP with two rounds of communication between the prover and the verifier. We also show that 2-local stoquastic LH-MIN is hard for the class MA. With the additional promise of having a polynomial spectral gap, we show that stoquastic LH-MIN belongs to the class POSTBPP=BPPpath -- a generalization of BPP in which a post-selective readout is allowed. This last result also shows that any problem solved by adiabatic quantum computation using stoquastic Hamiltonians lies in PostBPP.

The compiled record

The paper's own sentences, arranged, kept beside the review and separate from it. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,691 input tokens.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.42 · human participants 0.02 · controlled comparison 0.02 · randomized assignment 0.02 · states quantitative result 0.25 · compares with prior results 0.15 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v4. Results and the main claim are underlined; .

We study the complexity of the Local Hamiltonian Problem (denoted as LH-MIN) in the special case when a Hamiltonian obeys conditions of the Perron-Frobenius theorem: all off-diagonal matrix elements in the standard basis are real and non-positive. We will call such Hamiltonians, which are common in the natural world, stoquastic. An equivalent characterization of stoquastic Hamiltonians is that they have an entry-wise non-negative Gibbs density matrix for any temperature. We prove that LH-MIN for stoquastic Hamiltonians belongs to the complexity class AM -- a probabilistic version of NP with two rounds of communication between the prover and the verifier. We also show that 2-local stoquastic LH-MIN is hard for the class MA. With the additional promise of having a polynomial spectral gap, we show that stoquastic LH-MIN belongs to the class POSTBPP=BPPpath -- a generalization of BPP in which a post-selective readout is allowed. This last result also shows that any problem solved by adiabatic quantum computation using stoquastic Hamiltonians lies in PostBPP.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We study the complexity of the Local Hamiltonian Problem (denoted as LH-MIN) in the special case when a Hamiltonian obeys conditions of the Perron-Frobenius theorem: all off-diagonal matrix elements in the standard basis are real and non-positive. contribution 0.76 0.73 0.05 asserted 0.75
s1 We will call such Hamiltonians, which are common in the natural world, stoquastic. background 0.90 0.34 0.02 asserted 0.99
s2 An equivalent characterization of stoquastic Hamiltonians is that they have an entry-wise non-negative Gibbs density matrix for any temperature. background 0.97 0.22 0.03 asserted 1.00
s3 We prove that LH-MIN for stoquastic Hamiltonians belongs to the complexity class AM -- a probabilistic version of NP with two rounds of communication between the prover and the verifier. result 1.00 0.96 0.60 asserted 1.00
s4 We also show that 2-local stoquastic LH-MIN is hard for the class MA. result 0.99 0.96 0.10 asserted 1.00
s5 With the additional promise of having a polynomial spectral gap, we show that stoquastic LH-MIN belongs to the class POSTBPP=BPPpath -- a generalization of BPP in which a post-selective readout is allowed. result 1.00 0.95 0.15 asserted 1.00
s6 This last result also shows that any problem solved by adiabatic quantum computation using stoquastic Hamiltonians lies in PostBPP. interpretation 0.95 0.85 0.14 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 1.00 · evidence from proof or derivation 1.00.

What was examined, and what was not

sources read
  • arXiv listing abstract v4
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

Figures
Figure 1. Allowed transitions induced by perturbation

Figures reproduced from arXiv:quant-ph/0606140 by the authors.

References
How later papers used it

59 later papers cite it

Evidence: some. 59 of the citing papers share no author with it, and 2 of those carry a confident label from Pith's citation classifier.

Pith read 23 of the 101 citing sentences, choosing only those whose citation markers point at this paper alone, and wrote the paraphrases from them. The summary, the counts, the evidence level, the links and the quotes come from code; the summary counts the papers listed below. A later paper is listed under a label when Pith's citation classifier gives one of its sentences that label at probability 0.8 or more (0.95 for support), Pith's reading finds that the citing paper itself did it, and a second check confirms the paraphrase against the sentence. This section lists uses only. It does not list criticism or disagreement, so their absence here says nothing about how the paper has been received. Papers that share an author with this one are listed apart, under "By the same authors". A quote is the citing authors' own sentence, shown when their paper's licence is CC BY, CC BY-SA or CC0. JSON

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How the literature uses it

58 arXiv papers cite this in 96 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 59 sentences without a confident label

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Uses its method or tool 1 paper
Cites it as background 29 papers

Discussion

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