NEEXP in MIP
@article{Natarajan2019NEEXPIM, title={NEEXP in MIP}, author={Anand Natarajan and John Wright}, journal={ArXiv}, year={2019}, volume={abs/1904.05870} }
We study multiprover interactive proof systems. The power of classical multiprover interactive proof systems, in which the provers do not share entanglement, was characterized in a famous work by Babai, Fortnow, and Lund (Computational Complexity 1991), whose main result was the equality MIP = NEXP. The power of quantum multiprover interactive proof systems, in which the provers are allowed to share entanglement, has proven to be much more difficult to characterize. The best known lower-bound…
14 Citations
Perfect Zero Knowledge for Quantum Multiprover Interactive Proofs
- Computer Science, Mathematics2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS)
- 2019
The main result is that the two classes are equal, i.e., MIP* = PZK-MIP*.
Non-Locality and Zero-Knowledge MIPs
- Computer Science, MathematicsIACR Cryptol. ePrint Arch.
- 2019
This work defines a framework in which it can quantify the simulators' non-local advantage and exhibits examples of zero-knowledge protocols that are sound against local or entangled provers but that are not sound against no-signalling provers precisely because the no- signalling simulation strategy can be adopted by malicious provers.
On the complexity of zero gap MIP
- Mathematics, Computer ScienceICALP
- 2020
This paper proves that $\mathsf{MIP}^*_0$ extends beyond the first level of the arithmetical hierarchy, and in fact is equal to $\Pi_2^0$, the class of languages that can be decided by quantified formulas of the form $\forall y \, \exists z \, R(x,y,z)$.
Quantum soundness of the classical low individual degree test
- Mathematics, Computer ScienceArXiv
- 2020
A variant of the low degree test called the low individual degree test, initially shown to be sound against multiple quantum provers in [Vid16], is analyzed and the main result is that the two-player version of this test is sound against quantumProvers.
A generalization of CHSH and the algebraic structure of optimal strategies
- Computer ScienceQuantum
- 2020
This work introduces an algebraic generalization of CHSH by viewing it as a linear constraint system (LCS) game, exhibiting self-testing properties that are qualitatively different, and gives the first example of a game that is not a self-test.
MIP* = RE
- Computer ScienceCommun. ACM
- 2021
It is proved that every problem that is recursively enumerable, including the Halting problem, can be efficiently verified by a classical probabilistic polynomial-time verifier interacting with two all-powerful but noncommunicating provers sharing entanglement.
Nonlocal games, compression theorems, and the arithmetical hierarchy
- Computer ScienceSTOC
- 2022
The Π2-completeness result is a new “gapless” compression theorem that holds for both quantum and commuting operator strategies, and explains how results about the complexity of nonlocal games all follow in a unified manner from a technique known as compression.
Self-Testing of a Single Quantum Device Under Computational Assumptions
- Computer ScienceITCS
- 2021
This work constructs a protocol that allows a classical verifier to robustly certify that a single computationally bounded quantum device must have prepared a Bell pair and performed single-qubit measurements on it, up to a change of basis applied to both the device's state and measurements.
Quantum soundness of testing tensor codes
- Computer Science2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS)
- 2022
This work analyzes the axis-parallel line vs. point test as a two-prover game and shows that the test is sound against quantum provers sharing entanglement, implying the quantum-soundness of the low individual degree test, which is an essential component of the MIP* = RE theorem.
A doubly exponential upper bound on noisy EPR states for binary games
- Computer ScienceArXiv
- 2019
This paper provides a doubly exponential upper bound on the copies of $\psi$ for the players to approximate the value of the game to an arbitrarily small constant precision for any mono-state binary game $(G,\psi)$.
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