The quantum PCP conjecture asks whether it is QMA-hard to distinguish between high- and low-energy Hamiltonians even when the gap between "high" and "low" energy is large (constant). A natural proof strategy is gap amplification: start from the fact that high- and low-energy Hamiltonians are hard to distinguish if the gap is small (inverse polynomial) [Alexei Y. Kitaev et al., 2002] and amplify the Hamiltonians to increase the energy gap while preserving hardness. Such a gap amplification procedure is at the heart of Dinur’s proof of the classical PCP theorem [Dinur, 2007]. In this work, following Dinur’s model, we introduce a new quantum gap amplification procedure for Hamiltonians which uses random walks on expander graphs to derandomise (subsample the terms of) the tensor product amplification of a Hamiltonian. Curiously, our analysis relies on a new technique inspired by quantum de Finetti theorems, which have previously been used to rule out certain approaches to the quantum PCP conjecture [Fernando G. S. L. Brandão and Aram Wettroth Harrow, 2013].
The quantum PCP conjecture asks whether it is QMA-hard to distinguish between high- and low-energy Hamiltonians even when the gap between "high" and "low" energy is large (constant). A natural proof strategy is gap amplification: start from the fact that high- and low-energy Hamiltonians are hard to distinguish if the gap is small (inverse polynomial) [Alexei Y. Kitaev et al., 2002] and amplify the Hamiltonians to increase the energy gap while preserving hardness. Such a gap amplification procedure is at the heart of Dinur’s proof of the classical PCP theorem [Dinur, 2007]. In this work, following Dinur’s model, we introduce a new quantum gap amplification procedure for Hamiltonians which uses random walks on expander graphs to derandomise (subsample the terms of) the tensor product amplification of a Hamiltonian. Curiously, our analysis relies on a new technique inspired by quantum de Finetti theorems, which have previously been used to rule out certain approaches to the quantum PCP conjecture [Fernando G. S. L. Brandão and Aram Wettroth Harrow, 2013].
The quantum PCP conjecture is one of the major open problems in quantum complexity theory. It has resisted attack in part because many primitives used in the proof of the classical PCP theorem, such as locality-preserving gap amplification and alphabet reduction, have no obvious quantum analogues due to quantum no-cloning. Locality-preserving gap amplification is a procedure that takes as input a local Hamiltonian problem instance and produces a new instance with a larger promise gap, without increasing the locality of the Hamiltonian, and instead moderately increasing its local qudit dimension. Obtaining this kind of control over the locality during gap amplification is critical to the success of many known strategies for proving the classical PCP theorem. In this work, we put forth the first known viable template for quantum locality-preserving gap amplification, and we prove that our procedure amplifies the combinatorial gap of local Hamiltonians. Our work introduces a new framework for reasoning about quantum gap amplification in terms of fault-tolerant computation, and illuminates a route toward importing one of the central ingredients in classical PCPs into the quantum setting. In particular, we build upon ideas from the recent classical PCP of Bafna--Minzer--Vyas based on high-dimensional expanders, and the circuit-to-Hamiltonian construction of Anshu--Breuckmann--Nguyen, in addition to several recent advances in quantum coding theory.
The derandomization of MA, the probabilistic version of NP, is a long standing open question. In this work, we connect this problem to a variant of another major problem: the quantum PCP conjecture. Our connection goes through the surprising quantum characterization of MA by Bravyi and Terhal. They proved the MA-completeness of the problem of deciding whether the groundenergy of a uniform stoquastic local Hamiltonian is zero or inverse polynomial. We show that the gapped version of this problem, i.e. deciding if a given uniform stoquastic local Hamiltonian is frustration-free or has energy at least some constant ε, is in NP. Thus, if there exists a gap-amplification procedure for uniform stoquastic Local Hamiltonians (in analogy to the gap amplification procedure for constraint satisfaction problems in the original PCP theorem), then MA = NP (and vice versa). Furthermore, if this gap amplification procedure exhibits some additional (natural) properties, then P = RP. We feel this work opens up a rich set of new directions to explore, which might lead to progress on both quantum PCP and derandomization. We also provide two small side results of potential interest. First, we are able to generalize our result by showing that deciding if a uniform stoquastic Local Hamiltonian has negligible or constant frustration can be also solved in NP. Additionally, our work reveals a new MA-complete problem which we call SetCSP, stated in terms of classical constraints on strings of bits, which we define in the appendix. As far as we know this is the first (arguably) natural MA-complete problem stated in non-quantum CSP language.
We study gap amplification of the class QMA+(2) characterized by unentangled quantum proofs whose amplitudes are nonnegative in the computational basis. This class was recently introduced by Jeronimo and Wu (STOC 2023), and its behavior depends sharply on the completeness-soundness gap: although it captures the power of NEXP for some small constant gap, it is equal to QMA(2) for larger constant gap. This is in stark contrast to QMA(2) where strong gap amplification is known due to the product test by Harrow and Montanaro (FOCS 2010, JACM 2013).
In this paper, we prove for every completeness c and soundness s with c−s=1/poly(n), NEXP=QMA+(2,c,s)=QMA+(2,1−poly(n)1,41+poly(n)1). Our result gives a clean complexity phase transition for QMA+(2) since we have QMAR(2)=QMA+(2,1−poly(n)1,41−poly(n)1), where QMAR(2) denotes QMA(2) with witnesses restricted to real amplitudes. Our amplification is thus optimal in the sense that a slight improvement of our soundness would have the collapse QMAR(2)=NEXP.
Our proof combines symmetric-subspace projections with the relation QMA+(1)=NEXP of Bassirian, Fefferman, and Marwaha (ITCS 2024). The main technical ingredient is a dimension-independent de Finetti theorem in Hilbert-Schmidt norm that applies when the number of registers under consideration grows logarithmically.
We define a general formulation of quantum PCPs, which captures adaptivity and multiple unentangled provers, and give a detailed construction of the quantum reduction to a local Hamiltonian with a constant promise gap. The reduction turns out to be a versatile subroutine to prove properties of quantum PCPs, allowing us to show: (i) Non-adaptive quantum PCPs can simulate adaptive quantum PCPs when the number of proof queries is constant. In fact, this can even be shown to hold when the non-adaptive quantum PCP picks the proof indices simply uniformly at random from a subset of all possible index combinations, answering an open question by Aharonov, Arad, Landau and Vazirani (STOC '09). (ii) If the q -local Hamiltonian problem with constant promise gap can be solved in QCMA , then QPCP[q]⊆QCMA for any q∈O(1) . (iii) If QMA(k) has a quantum PCP for any k≤poly(n) , then QMA(2)=QMA , connecting two of the longest-standing open problems in quantum complexity theory. Moreover, we also show that there exist (quantum) oracles relative to which certain quantum PCP statements are false. Hence, any attempt to prove the quantum PCP conjecture requires, just as was the case for the classical PCP theorem, (quantumly) non-relativizing techniques.
In classical complexity theory, the two definitions of probabilistically checkable proofs -- the constraint satisfaction and the nonlocal games version -- are computationally equal in power. In the quantum setting, the situation is far less clear. The result MIP* = RE of Ji et. al. (arXiv:2001.04383) and refinements by Natarajan and Zhang (arXiv:2302.04322) show that multiprover interactive proof systems with polylogarithmically long messages can solve any decision problem in RE, including undecidable problems like the halting problem. These results show that any connection between the "constraint satisfaction" or "Hamiltonian" quantum PCP conjecture and nonlocal games must involve restricting the players in the game to be computationally efficient. This note contains two main results: (1) we give a "quantum games PCP for AM" in the form of a new construction of a succinct MIP* protocol with efficient provers for the canonical AM-complete problem, and (2) we explain an error in the energy amplification procedure of Natarajan and Vidick (arXiv:1710.03062) which invalidates their claim to have constructed a quantum games PCP for a QMA-complete problem. In surveying the obstacles remaining towards a quantum games PCP for QMA, we highlight the importance and challenge of understanding gap amplification for Hamiltonians even when locality is replaced by much weaker constraints, such as bounds on the "Pauli spectrum" of the Hamiltonian. We hope these questions will motivate progress towards new "baby versions" of Hamiltonian quantum PCP conjecture.
The No Low-energy Trivial States (NLTS) conjecture of Freedman and Hastings
(Quantum Information and Computation, 2014) -- which posits the existence of a
local Hamiltonian with a super-constant circuit lower bound on the complexity
of all low-energy states -- identifies a fundamental obstacle to the resolution
of the quantum PCP conjecture. In this paper, we provide new techniques, based
on entropic and local indistinguishability arguments, for proving circuit lower
bounds for the low-energy states of local Hamiltonians arising from quantum
error-correcting codes. For local Hamiltonians arising from nearly linear-rate and
polynomial-distance LDPC stabilizer codes, we prove a super-constant circuit
lower bounds for the complexity of all states of energy o(n) (which can be
viewed as an almost linear NLTS theorem). Such codes are known to exist and, in
general, are not locally-testable, a property previously suspected to be
essential for the NLTS conjecture. Curiously, such codes can also be
constructed on a constant-dimensional lattice, showing that complex
entanglement at high energies can persist in physically relevant systems.