pith. machine review for the scientific record. sign in

arxiv: 2509.25829 · v2 · submitted 2025-09-30 · 🪐 quant-ph · cs.CC

The Guided Local Hamiltonian Problem for Stoquastic Hamiltonians

Pith reviewed 2026-05-18 13:10 UTC · model grok-4.3

classification 🪐 quant-ph cs.CC
keywords guided local Hamiltonianstoquastic HamiltoniansBPP-hardnessground-state energy estimationquantum complexitysemi-classical statesreduction from circuits
0
0 comments X

The pith

Estimating the ground-state energy of stoquastic Hamiltonians is promise BPP-hard even with a guiding state that overlaps the true ground state.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper shows that the Guided Local Hamiltonian problem stays hard for classical probabilistic algorithms when the Hamiltonian is restricted to be stoquastic. It reaches this conclusion by building a reduction from BPP circuits that produces both a 6-local stoquastic Hamiltonian and a special guiding state whose overlap with the ground state is guaranteed. The hardness result survives when the interactions are lowered to two-body terms and when the qubits are arranged on a square lattice. A reader cares because stoquastic Hamiltonians lack the sign problem that usually blocks classical simulation, so one might have hoped a guiding state would make the problem tractable; the result says that hope does not hold in general.

Core claim

We show that the Guided Local Hamiltonian problem for stoquastic Hamiltonians is (promise) BPP-hard. The proof proceeds by reducing from quantum-inspired BPP circuits to 6-local stoquastic Hamiltonians whose ground states are guided by semi-classical encoded subset states that maintain sufficient overlap. The same BPP-hardness carries over to 2-local stoquastic Hamiltonians and to Hamiltonians placed on a square lattice. For stoquastic Hamiltonians that carry an additional fixed local constraint on a subset of qubits the problem becomes BQP-hard. Under constant promise gap, constant overlap, and constant spectral gap, when the guiding state is preparable by a constant-depth geometrically лок

What carries the argument

Semi-classical encoded subset states that act as guiding states with a promised overlap to the ground state of the constructed stoquastic Hamiltonian while preserving the original BPP circuit hardness.

If this is right

  • The BPP-hardness continues to hold when the Hamiltonian is restricted to two-body interactions.
  • The hardness result extends to stoquastic Hamiltonians whose qubits lie on a square lattice.
  • Adding a fixed local constraint on a subset of the qubits upgrades the problem to BQP-hard.
  • When the promise gap, overlap, and spectral gap are all constant and the guiding state is prepared by a constant-depth geometrically local circuit, a deterministic classical approximation algorithm exists.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Guiding states of this form appear insufficient to render general stoquastic systems classically tractable.
  • The boundary between BPP and BQP for guided ground-state problems may be narrower than expected inside sign-problem-free families.
  • Similar reductions could be attempted with guiding states prepared by other classical means to test how much classical side information is needed to cross the hardness threshold.

Load-bearing premise

The semi-classical encoded subset states can be built so that they keep enough overlap with the ground state of the stoquastic Hamiltonian without erasing the BPP-hardness inherited from the circuit problem.

What would settle it

A classical polynomial-time algorithm that approximates the ground-state energy of 2-local stoquastic Hamiltonians to within the promised constant gap, given a guiding state with constant overlap, would falsify the BPP-hardness claim.

Figures

Figures reproduced from arXiv: 2509.25829 by Gabriel Waite.

Figure 1
Figure 1. Figure 1: FIG. 1. A diagram of the complexity classes discussed in this [PITH_FULL_IMAGE:figures/full_fig_p009_1.png] view at source ↗
read the original abstract

We show that the Guided Local Hamiltonian problem for stoquastic Hamiltonians is (promise) BPP-hard. The Guided Local Hamiltonian problem extends the Local Hamiltonian problem by incorporating an additional input known as a guiding state, which is promised to overlap with the ground state. For a range of local Hamiltonian families, prior work shows this problem is (promise) BQP-hard, though for stoquastic Hamiltonians, the complexity was previously unknown. We obtain our results by first reducing from quantum-inspired BPP circuits to 6-local stoquastic Hamiltonians. We prove particular classes of quantum states, known as semi-classical encoded subset states, can guide the estimation of the ground-state energy. Our analysis shows that this BPP-hardness does not depend on locality, i.e., the result holds for 2-local stoquastic Hamiltonians. Additional arguments extend this BPP-hardness to Hamiltonians restricted to a square lattice. We further show that for stoquastic Hamiltonians with a fixed local constraint on a subset of the system qubits, the Guided Local Hamiltonian problem is BQP-hard. In addition to these hardness results, we present a deterministic classical approximation algorithm for the problem under the conditions of constant promise gap, constant overlap, and constant spectral gap, when the guiding state is preparable in constant depth by a geometrically local circuit.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The manuscript proves that the Guided Local Hamiltonian problem for stoquastic Hamiltonians is promise-BPP-hard. The central argument reduces from quantum-inspired BPP circuit problems to the task of estimating the ground-state energy of a 6-local stoquastic Hamiltonian, using semi-classical encoded subset states as guiding states that are promised to have non-negligible overlap with the true ground state. The authors then extend the reduction to 2-local stoquastic Hamiltonians and to Hamiltonians supported on a square lattice while preserving the BPP-hardness. A separate argument shows BQP-hardness when an additional fixed local constraint is imposed on a subset of qubits. The paper also supplies a deterministic classical algorithm that approximates the ground-state energy to constant additive error when the promise gap, guiding-state overlap, and spectral gap are all constant and the guiding state is preparable by a constant-depth geometrically local circuit.

Significance. If the reductions and overlap guarantees are correct, the result supplies the first explicit complexity classification for the guided local Hamiltonian problem in the stoquastic setting, placing it in promise-BPP rather than promise-BQP. The claimed independence from locality and the extension to square-lattice geometry strengthen the statement. The classical approximation algorithm is a constructive positive result that applies under the stated constant-parameter regime. The explicit construction from BPP circuits and the use of semi-classical states are verifiable strengths.

major comments (1)
  1. [2-local reduction and overlap analysis] The 2-local reduction (following the 6-local construction): the central claim requires an explicit inverse-polynomial lower bound on the overlap between the semi-classical encoded subset state and the ground state of the final 2-local stoquastic Hamiltonian. The manuscript must show that the additional gadget terms do not shift the ground-state support outside the relevant subspace by more than an inverse-polynomial amount; otherwise the promise gap for guided energy estimation collapses and BPP-hardness fails to transfer. Please supply the concrete overlap calculation or lemma that survives the locality reduction.
minor comments (2)
  1. [Introduction] The phrase 'quantum-inspired BPP circuits' appears in the abstract and introduction without a self-contained definition or pointer to the precise circuit model used; a short paragraph or reference would improve readability.
  2. [Preliminaries] Notation for the semi-classical encoded subset states should be introduced once with a clear definition of the encoding map before it is used in the overlap arguments.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their thorough review and for identifying this key point in the 2-local reduction. We address the comment directly below and will incorporate the requested clarification in the revised manuscript.

read point-by-point responses
  1. Referee: [2-local reduction and overlap analysis] The 2-local reduction (following the 6-local construction): the central claim requires an explicit inverse-polynomial lower bound on the overlap between the semi-classical encoded subset state and the ground state of the final 2-local stoquastic Hamiltonian. The manuscript must show that the additional gadget terms do not shift the ground-state support outside the relevant subspace by more than an inverse-polynomial amount; otherwise the promise gap for guided energy estimation collapses and BPP-hardness fails to transfer. Please supply the concrete overlap calculation or lemma that survives the locality reduction.

    Authors: We agree that an explicit inverse-polynomial overlap bound is necessary to rigorously transfer the BPP-hardness through the locality reduction. The 6-local construction (Section 3) establishes the base overlap guarantee for semi-classical encoded subset states. The 2-local reduction (Section 4) replaces each 6-local term with a standard perturbative 2-local gadget that preserves stoquasticity. These gadgets are chosen so that their action is diagonal in the computational basis outside the encoded subspace and introduce only an inverse-polynomial perturbation within the low-energy subspace. In the revised manuscript we will add a dedicated lemma (new Lemma 4.6) that combines the gadget spectral gap (which is polynomial by construction) with the original overlap promise to show that the final ground-state overlap remains at least 1/poly(n). The proof proceeds by bounding the ground-state projection onto the orthogonal complement of the encoded subspace using standard perturbation theory for stoquastic Hamiltonians; the error term is controlled by the ratio of the gadget strength to the gap and is therefore inverse-polynomial. This addition does not change the main theorem statements but makes the overlap preservation fully explicit. revision: yes

Circularity Check

0 steps flagged

Explicit reduction from BPP circuits to guided stoquastic LH establishes hardness without circular definitions or self-referential steps

full rationale

The derivation proceeds by an explicit, constructive reduction from quantum-inspired BPP circuit instances to 6-local stoquastic Hamiltonians, followed by an analytic proof that semi-classical encoded subset states have non-negligible overlap with the ground state. The same construction is then shown to preserve the promise gap and overlap bound under reduction to 2-local and square-lattice geometries. No quantity in the target problem (energy estimate, guiding-state overlap, or promise gap) is defined in terms of itself or obtained by fitting a parameter to the output; the overlap lower bound is derived directly from the circuit-to-Hamiltonian mapping rather than assumed or renamed. No load-bearing self-citation or uniqueness theorem imported from prior author work appears in the argument. The central claim therefore remains independent of its own outputs and is self-contained against the external BPP hardness assumption.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The proof rests on standard definitions of promise-BPP and stoquastic Hamiltonians together with the existence of the semi-classical guiding states used in the reduction; no numerical free parameters or new physical entities are introduced.

axioms (2)
  • standard math Standard promise-BPP and promise-gap definitions from complexity theory
    The hardness statement is phrased in these terms.
  • domain assumption Existence and overlap properties of semi-classical encoded subset states for the constructed Hamiltonians
    Invoked to ensure the guiding state satisfies the promise in the reduction.

pith-pipeline@v0.9.0 · 5761 in / 1412 out tokens · 75351 ms · 2026-05-18T13:10:31.436305+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

What do these tags mean?
matches
The paper's claim is directly supported by a theorem in the formal canon.
supports
The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends
The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses
The paper appears to rely on the theorem as machinery.
contradicts
The paper's claim conflicts with a theorem or certificate in the canon.
unclear
Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Unentangled stoquastic Merlin-Arthur proof systems: the power of unentanglement without destructive interference

    quant-ph 2026-04 unverdicted novelty 7.0

    StoqMA(2) contains NP with Õ(√n)-qubit proofs and completeness error 2^{-polylog(n)}, is contained in EXP, and satisfies StoqMA(k)=StoqMA(2) for k≥2 when completeness error is negligible.

Reference graph

Works this paper leans on

43 extracted references · 43 canonical work pages · cited by 1 Pith paper · 13 internal anchors

  1. [1]

    does not clearly apply. The procedure of Bravyi [2] — a classical analogue of Quantum Phase Estimation — requires: (a) an inverse- polynomialpointwisecorrelation between the guiding state and ground state, and (b) an efficient classical algo- rithm for evaluating guiding state amplitudes. While our guiding state exhibits at least 1/poly(n) globaloverlap, ...

  2. [2]

    Gharibian and F

    S. Gharibian and F. Le Gall, SIAM Journal on Computing 52, 1009 (2023), arXiv:2111.09079

  3. [3]

    Monte Carlo simulation of stoquastic Hamiltonians

    S. Bravyi, Quantum Info. Comput.15, 1122 (2015), arXiv:1402.2295

  4. [4]

    Two remarks on the local Hamiltonian problem

    P. C. Richter, “Two remarks on the local hamiltonian problem,” (2007), arXiv:0712.4274 [quant-ph]

  5. [5]

    C. Cade, M. Folkertsma, S. Gharibian, R. Hayakawa, F. Le Gall, T. Morimae, and J. Weggemans (Schloss Dagstuhl – Leibniz-Zentrum f¨ ur Informatik, 2023) pp. 32:1–32:19, arXiv:2207.10250

  6. [6]

    Liu, in16th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2021)(Schloss Dagstuhl – Leibniz-Zentrum für Infor- matik, 2021) pp

    Y. Liu, in16th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2021)(Schloss Dagstuhl – Leibniz-Zentrum f¨ ur Infor- matik, 2021) pp. 4:1–4:22, arXiv:2011.05733

  7. [7]

    Jiang, PRX Quantum6, 020312 (2025), arXiv:2309.10155

    J. Jiang, “Local hamiltonian problem with succinct ground state is ma-complete,” (2024), arXiv:2309.10155

  8. [8]

    On the Complexity of the Succinct State Local Hamiltonian Problem,

    G. Waite, “On the Complexity of the Succinct State Local Hamiltonian Problem,” (2025), arXiv:XYZW.ABCDE

  9. [9]

    Merlin-Arthur Games and Stoquastic Complexity

    S. Bravyi, A. J. Bessen, and B. M. Terhal, “Merlin- Arthur games and stoquastic complexity,” (2006), arXiv:quant-ph/0611021

  10. [10]

    Complexity classification of local Hamiltonian problems

    T. Cubitt and A. Montanaro, SIAM Journal on Comput- ing45, 268 (2016), arXiv:1311.3161

  11. [11]

    On complexity of the quantum Ising model

    S. Bravyi and M. Hastings, Communications in Mathe- matical Physics349, 1 (2016), arXiv:1410.0703

  12. [12]

    The Complexity of Local Stoquastic Hamiltonians on 2D Lattices

    G. Waite and M. J. Bremner, “The Complexity of Lo- cal Stoquastic Hamiltonians on 2D Lattices,” (2025), arXiv:2502.14244

  13. [13]

    The Complexity of Stoquastic Local Hamiltonian Problems

    S. Bravyi, D. P. DiVincenzo, R. I. Oliveira, and B. M. Terhal, (2007), arXiv:quant-ph/0606140

  14. [14]

    Nagaj, D

    D. Nagaj, D. Hangleiter, J. Eisert, and M. Schwarz, Phys- ical Review A103(2021), 10.1103/physreva.103.012604, arXiv:2001.03636

  15. [15]

    Bravyi, G

    S. Bravyi, G. Carleo, D. Gosset, and Y. Liu, Quantum 7, 1173 (2023), arXiv:2207.07044

  16. [16]

    Zhang, Y

    Y. Zhang, Y. Wu, and X. Yuan, “A dequantized algo- rithm for the guided local Hamiltonian problem,” (2024), arXiv:2411.16163

  17. [17]

    StoqMA vs. MA: the power of error reduction,

    D. Aharonov, A. B. Grilo, and Y. Liu, “StoqMA vs. MA: the power of error reduction,” (2021), arXiv:2010.02835

  18. [18]

    Quantum Computational Complexity

    J. Watrous, “Quantum computational complexity,” (2008), arXiv:0804.3401

  19. [19]

    T. S. Cubitt, A. Montanaro, and S. Piddock, Proceedings of the National Academy of Sciences115, 9497 (2018)

  20. [20]

    Revisiting dequantization and quantum advan- tage in learning tasks

    J. Cotler, H.-Y. Huang, and J. R. McClean, “Revisiting dequantization and quantum advantage in learning tasks,” (2021), arXiv:2112.00811

  21. [21]

    M. V. den Nest, Quantum Information and Computation 11, 784 (2011), arXiv:0911.1624

  22. [22]

    Arora and B

    S. Arora and B. Barak,Computational Complexity: A Modern Approach(Cambridge University Press, 2009)

  23. [23]

    C. H. Bennett, IBM Journal of Research and Development 17, 525 (1973)

  24. [24]

    A. Y. Kitaev, A. H. Shen, and M. N. Vyalyi,Classical and Quantum Computation(American Mathematical Society, USA, 2002)

  25. [25]

    Babai, inProceedings of the Seventeenth Annual ACM Symposium on Theory of Computing, STOC ’85 (Asso- ciation for Computing Machinery, New York, NY, USA,

    L. Babai, inProceedings of the Seventeenth Annual ACM Symposium on Theory of Computing, STOC ’85 (Asso- ciation for Computing Machinery, New York, NY, USA,

  26. [26]

    Complexity Zoo,

    S. Aaronson and et al., “Complexity Zoo,” (2002)

  27. [27]

    Toffoli, inInternational colloquium on automata, lan- guages, and programming(Springer, 1980) pp

    T. Toffoli, inInternational colloquium on automata, lan- guages, and programming(Springer, 1980) pp. 632–644

  28. [28]

    Gharibian and J

    S. Gharibian and J. Yirka, Quantum3, 189 (2019), arXiv:1606.05626

  29. [29]

    3-Local Hamiltonian is QMA-complete

    J. Kempe and O. Regev, Quantum Info. Comput.3, 258 (2003), arXiv:quant-ph/0302079

  30. [30]

    The Complexity of the Local Hamiltonian Problem

    J. Kempe, A. Kitaev, and O. Regev, SIAM Journal on Computing35, 1070 (2006), arXiv:quant-ph/0406180

  31. [31]

    Kallaugher, O

    J. Kallaugher, O. Parekh, K. Thompson, Y. Wang, and J. Yirka, “Complexity classification of product state prob- lems for local hamiltonians,” (2024), arXiv:2401.06725

  32. [32]

    M. E. Stroeks, J. Helsen, and B. M. Terhal, New Journal of Physics24, 103024 (2022), arXiv:2204.01113

  33. [33]

    Quantum and Classical Tradeoffs

    Y. Shi, Theoretical Computer Science344, 335 (2005), arXiv:quant-ph/0312213v2

  34. [34]

    R. L. Mann and R. M. Minko, PRX Quantum5(2024), 10.1103/prxquantum.5.010305, arXiv:2306.08974

  35. [35]

    Qma with subset state witnesses,

    A. B. Grilo, I. Kerenidis, and J. Sikora, “Qma with subset state witnesses,” inMathematical Foundations of Computer Science 2015(Springer Berlin Heidelberg,

  36. [36]

    QMA with subset state witnesses

    pp. 163–174, arXiv:1410.2882

  37. [37]

    M. J. Bremner, Z. Ji, X. Li, L. Mathieson, and M. E. S. Morales, ACM Transactions on Quantum Computing (2025), 10.1145/3759156, arXiv:2211.05325

  38. [38]

    Quantum parameterized complexity,

    M. J. Bremner, Z. Ji, R. L. Mann, L. Mathieson, M. E. S. Morales, and A. T. E. Shaw, “Quantum parameterized complexity,” (2022), arXiv:2203.08002

  39. [39]

    R. G. Downey and M. R. Fellows,Fundamentals of Pa- rameterized Complexity(Springer London, 2013). Appendix A: Deferred Proofs Theorem 1. BPP q =BPP. Proof. Informally, this result follows from Ref. [ 8] and discussions in [ 11]. This may not be immediately clear, thus for clarity, we provide a formal proof. To prove equivalency we need to show thatBPP q⊆B...

  40. [40]

    Therefore, there exists a classical probabilistic circuit that outputs 1 with probability at least 2 3 forx∈Lyes

    As the quantum circuit can be simulated by a classical probabilistic circuit with random coin flips instead of |+p⟩, the same success probability can be achieved classically. Therefore, there exists a classical probabilistic circuit that outputs 1 with probability at least 2 3 forx∈Lyes. Case 2:Similarly, if x∈Lno, the quantum circuit M|x|outputs 1 with p...

  41. [41]

    b.BPP ⊆BPPq.Now, let L = (Lyes,L no) be a promise problem inBPP

    Again, since the quantum computation can be simulated classically by replacing the quantum randomness with classical randomness, the classical probabilistic circuit will also have an output probability of at most 1 3 forx∈Lno. b.BPP ⊆BPPq.Now, let L = (Lyes,L no) be a promise problem inBPP. By definition, there exists a classical probabilistic circuit tha...

  42. [42]

    Therefore, the quantum circuit outputs 1 with probability at least 2 3 forx∈Lyes

    In the quantum circuit, the randomness is simulated by the|+p⟩ancillae, and the classical gates are reversible. Therefore, the quantum circuit outputs 1 with probability at least 2 3 forx∈Lyes. Case 2:If x∈Lno, the classical probabilistic machine outputs 1 with probability at most 1

  43. [43]

    Then:    ( √ B−A)2≤|⟨a|c⟩|2≤( √ B+A) 2 ifA≤ √ B, 0≤|⟨a|c⟩|2≤( √ B+A) 2 ifA> √ B

    The quantum circuit, which simulates the classical circuit, also outputs 1 with probability at most 1 3, as the quantum ancillae provide the same type of randomness and the gates are reversible.■ Lemma 3.Let|a⟩,|b⟩,|c⟩∈(C2)⊗nbe normalised states, such that|||a⟩−|b⟩||≤Aand|⟨b|c⟩|2≥B. Then:    ( √ B−A)2≤|⟨a|c⟩|2≤( √ B+A) 2 ifA≤ √ B, 0≤|⟨a|c⟩|2≤( √ B+A) 2...