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Unconditional proofs of quantumness between small-space machines

A. C. Cem Say, M. Utkan Gezer

TL;DR

The paper addresses verifying quantumness when both devices are extremely memory-bounded, removing reliance on unproven hardness assumptions. It develops an unconditional framework using DS-FK separation problems and very small provers (constant-/space) paired with a space-bounded verifier, leveraging 2qcfa capabilities and padded language constructions to certify quantum behavior. The main contributions include constructing DS-FK-based proofs of quantumness for languages recognizable by quantum small-space machines, and extending verification to beyond 2DFA(2) with robust interaction protocols that maintain a tunable acceptance gap in the presence of cheating provers. This work advances practical and theoretically grounded approaches for verifying quantum capabilities in ultra-scarce memory regimes, with implications for near-term quantum devices and foundational quantum-classical separation results.

Abstract

A proof of quantumness is a protocol through which a classical machine can test whether a purportedly quantum device, with comparable time and memory resources, is performing a computation that is impossible for classical computers. Existing approaches to provide proofs of quantumness depend on unproven assumptions about some task being impossible for machines of a particular model under certain resource restrictions. We study a setup where both devices have space bounds $\mathit{o}(\log \log n)$. Under such memory budgets, it has been unconditionally proven that probabilistic Turing machines are unable to solve certain computational problems. We formulate a new class of problems, and show that these problems are polynomial-time solvable for quantum machines, impossible for classical machines, and have the property that their solutions can be "proved" by a small-space quantum machine to a classical machine with the same space bound. These problems form the basis of our newly defined protocol, where the polynomial-time verifier's verdict about the tested machine's quantumness is not conditional on an unproven weakness assumption.

Unconditional proofs of quantumness between small-space machines

TL;DR

The paper addresses verifying quantumness when both devices are extremely memory-bounded, removing reliance on unproven hardness assumptions. It develops an unconditional framework using DS-FK separation problems and very small provers (constant-/space) paired with a space-bounded verifier, leveraging 2qcfa capabilities and padded language constructions to certify quantum behavior. The main contributions include constructing DS-FK-based proofs of quantumness for languages recognizable by quantum small-space machines, and extending verification to beyond 2DFA(2) with robust interaction protocols that maintain a tunable acceptance gap in the presence of cheating provers. This work advances practical and theoretically grounded approaches for verifying quantum capabilities in ultra-scarce memory regimes, with implications for near-term quantum devices and foundational quantum-classical separation results.

Abstract

A proof of quantumness is a protocol through which a classical machine can test whether a purportedly quantum device, with comparable time and memory resources, is performing a computation that is impossible for classical computers. Existing approaches to provide proofs of quantumness depend on unproven assumptions about some task being impossible for machines of a particular model under certain resource restrictions. We study a setup where both devices have space bounds . Under such memory budgets, it has been unconditionally proven that probabilistic Turing machines are unable to solve certain computational problems. We formulate a new class of problems, and show that these problems are polynomial-time solvable for quantum machines, impossible for classical machines, and have the property that their solutions can be "proved" by a small-space quantum machine to a classical machine with the same space bound. These problems form the basis of our newly defined protocol, where the polynomial-time verifier's verdict about the tested machine's quantumness is not conditional on an unproven weakness assumption.

Paper Structure

This paper contains 8 sections, 4 theorems, 10 equations, 6 figures, 1 table.

Key Result

theorem 8

For any $\varepsilon>0$, every language in $\mathsf{2DFA}\paren*{2_s}$ has an IPS with error bound $\varepsilon$ comprising of a constant-/space (classical or quantum) prover and a constant-/space verifier that halts with probability at least $1-\varepsilon$ within expected polynomial time, and may

Figures (6)

  • Figure 1: A verifier $V$ for a language recognized by $\mathrm{2dfa\paren*{2}}$$M$.
  • Figure 2: A prover that simulates $N_1$ on its input and reports its head readings in each round.
  • Figure 3: A verifier based on a DS-FK problem $\paren*{\mathtt{PAD}_{}\paren*{\mathtt{L}}, \mathtt{PAD}_{}\paren*{\overline{\mathtt{L}}}}$, where $\mathtt{L}\in \mathsf{2DFA}\paren*{2_s}$.
  • Figure 4: A quantum prover based on $\paren*{\mathtt{PAD}_{}\paren*{\mathtt{L}}, \mathtt{PAD}_{}\paren*{\overline{\mathtt{L}}}}$, where $\mathtt{L}\in \mathsf{\mathsf{BQTISP_*}(\hbox{$2^{kn},s(n)$})}\cap \mathsf{2DFA}\paren*{2_s}$.
  • Figure 5: A verifier $V$ based on $(\mathtt{PAD}_{}\paren*{\mathtt{SQUARE}}, \mathtt{PAD}_{}\paren*{\mathtt{SUBSQUARE}})$
  • ...and 1 more figures

Theorems & Definitions (15)

  • Definition 1
  • Definition 3
  • Definition 4
  • Definition 5
  • Definition 6
  • Definition 7
  • theorem 8
  • proof
  • Definition 9
  • theorem 10
  • ...and 5 more